Papers
Tue 20 May 2025
601 papers
- Adaptive Shielding for Safe Reinforcement Learning under Hidden-Parameter Dynamics ShiftsDeep reinforcement learning methods → Safe and constrained RL
- Prefill-Guided Thinking for zero-shot detection of AI-generated imagesLLM reasoning → Multimodal reasoning
- Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting ModelLLM reasoning → Time series reasoning
- From Reasoning to Code: GRPO Optimization for Underrepresented LanguagesLLM reasoning → Reinforcement learning for reasoning
- Co-LoRA: Collaborative Model Personalization on Heterogeneous Multi-Modal ClientsLLM agents and tool use → Agentic AI for wireless networks
- Modality-Balancing Preference Optimization of Large Multimodal Models by Adversarial Negative MiningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- NovelHopQA: Diagnosing Multi-Hop Reasoning Failures in Long Narrative ContextsLLM reasoning → Reasoning benchmarks and evaluation
- Riemannian Flow Matching for Brain Connectivity Matrices via Pullback GeometryDiffusion models → Flow matching, time series and science
- Chain-of-Thought Driven Adversarial Scenario Extrapolation for Robust Language ModelsLLM reasoning → Reasoning for agents, planning and code +1
- Advancing Multi-Agent RAG Systems with Minimalist Reinforcement LearningRetrieval-augmented generation → Agentic RAG, agents and memory +1
- GemMaroc: Unlocking Darija Proficiency in LLMs with Minimal DataLLM reasoning → Reasoning benchmarks and evaluation
- Semi-Clairvoyant Scheduling of Speculative Decoding Requests to Minimize LLM Inference LatencyEfficient LLM inference and serving → Speculative decoding
- Mechanistic Interpretability of GPT-like Models on Summarization TasksMechanistic interpretability → Knowledge and representations inside LLMs
- JARVIS: A Multi-Agent Code Assistant for High-Quality EDA Script GenerationLLM agents and tool use → Software engineering coding agents
- Flattening Hierarchies with Policy BootstrappingSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training +1
- Multimodal Cultural Safety: Evaluation Framework and Alignment StrategiesMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Self-Evolving Curriculum for LLM ReasoningLLM reasoning → Reinforcement learning for reasoning +1
- STree: Speculative Tree Decoding for Hybrid State-Space ModelsEfficient LLM inference and serving → Speculative decoding
- Programmatic Video Prediction Using Large Language ModelsWorld models → Embodied and robot world models
- Reinforcement Learning from User FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- Unlearning Algorithmic Biases over GraphsLLM safety and security → Graph unlearning
- FOL-Traces: Verified First-Order Logic Reasoning Traces at ScaleLLM reasoning → Reasoning benchmarks and evaluation
- Super-Resolution Optical Coherence Tomography Using Diffusion Model-Based Plug-and-Play PriorsDiffusion models → Medical imaging and segmentation
- Personalized Diffusion Model Reshapes Cold-Start Bundle RecommendationDiffusion models → Diffusion recommenders
- REFLEX: Metacognitive Reasoning for Reflective Zero-Shot Robotic Planning with Large Language ModelsLLM reasoning → Spatial and embodied reasoning
- Learning POMDPs with Linear Function Approximation and Finite MemoryDeep reinforcement learning methods → RL theory and sample complexity
- Balanced and Elastic End-to-end Training of Dynamic LLMsEfficient LLM inference and serving → Serving systems and request scheduling
- EasyMath: A 0-shot Math Benchmark for SLMsLLM reasoning → Mathematical reasoning
- MAATS: A Multi-Agent Automated Translation System Based on MQM EvaluationLLM agents and tool use → General LLM agent frameworks and benchmarks
- SEPS: A Separability Measure for Robust Unlearning in LLMsLLM safety and security → Machine unlearning
- Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function ApproximationDeep reinforcement learning methods → RL theory and sample complexity
- Imitation Learning via Focused SatisficingOffline RL and imitation learning from data → Imitation learning methods
- DORA: Object Affordance-Guided Reinforcement Learning for Dexterous Robotic ManipulationDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Language Mixing in Reasoning Language Models: Patterns, Impact, and Internal CausesLLM reasoning → Reasoning benchmarks and evaluation
- Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning ModelsLLM reasoning → Mathematical reasoning +1
- Self Distillation via Iterative Constructive PerturbationsKnowledge distillation → General knowledge distillation methods
- Communication-Efficient Diffusion Denoising Parallelization via Reuse-then-Predict MechanismDiffusion models → Diffusion foundations and sampling
- Time Series Similarity Score Functions to Monitor and Interact with the Training and Denoising Process of a Time Series Diffusion Model applied to a Human Activity Recognition Dataset based on IMUsDiffusion models → Flow matching, time series and science
- R&D-Agent: An LLM-Agent Framework Towards Autonomous Data ScienceLLM agents and tool use → Web, search, and research agents
- The Energy Cost of Reasoning: Analyzing Energy Usage in LLMs with Test-time ComputeLLM reasoning → Test-time compute and efficient thinking
- Uncovering Cultural Representation Disparities in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- MORALISE: A Structured Benchmark for Moral Alignment in Visual Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- The Evolution of Alpha in Finance Harnessing Human Insight and LLM AgentsLLM agents and tool use → Financial trading and forecasting agents
- Grouping First, Attending Smartly: Training-Free Acceleration for Diffusion TransformersDiffusion models → Video generation
- Mind the Gap: Bridging Thought Leap for Improved Chain-of-Thought TuningLLM reasoning → Prompting and chain-of-thought reasoning
- UniGen: Enhanced Training & Test-Time Strategies for Unified Multimodal Understanding and GenerationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional TrainingLLM reasoning → Test-time compute and efficient thinking +1
- NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI SearchLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- Visionary-R1: Mitigating Shortcuts in Visual Reasoning with Reinforcement LearningLLM reasoning → Multimodal reasoning
- Reward Reasoning ModelLLM reasoning → Reinforcement learning for reasoning +1
- Training-Free Watermarking for Autoregressive Image GenerationLLM safety and security → Watermarking generated content and models
- ContextAgent: Context-Aware Proactive LLM Agents with Open-World Sensory PerceptionsLLM agents and tool use → Multimodal and embodied agents
- SAFEPATH: Preventing Harmful Reasoning in Chain-of-Thought via Early AlignmentLLM reasoning → Reasoning for agents, planning and code +1
- Beyond Words: Multimodal LLM Knows When to SpeakMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- General-Reasoner: Advancing LLM Reasoning Across All DomainsLLM reasoning → Reinforcement learning for reasoning
- VideoEval-Pro: Robust and Realistic Long Video Understanding EvaluationMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Think Only When You Need with Large Hybrid-Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
- Debating for Better Reasoning: An Unsupervised Multimodal ApproachLLM reasoning → Multimodal reasoning +1
- TinyV: Reducing False Negatives in Verification Improves RL for LLM ReasoningLLM reasoning → Reinforcement learning for reasoning
- The Hawthorne Effect in Reasoning Models: Evaluating and Steering Test AwarenessLLM reasoning → Test-time compute and efficient thinking +1
- SATBench: Benchmarking LLMs' Logical Reasoning via Automated Puzzle Generation from SAT FormulasLLM reasoning → Reasoning benchmarks and evaluation
- sudoLLM: On Multi-role Alignment of Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Let LRMs Break Free from Overthinking via Self-Braking TuningLLM reasoning → Test-time compute and efficient thinking
- Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement LearningLLM reasoning → Reasoning for agents, planning and code
- Can Pruning Improve Reasoning? Revisiting Long-CoT Compression with Capability in Mind for Better ReasoningLLM reasoning → Test-time compute and efficient thinking
- KIPPO: Koopman-Inspired Proximal Policy OptimizationDeep reinforcement learning methods → RL theory and sample complexity
- Bellman operator convergence enhancements in reinforcement learning algorithmsDeep reinforcement learning methods → RL theory and sample complexity
- KORGym: A Dynamic Game Platform for LLM Reasoning EvaluationLLM reasoning → Reasoning for agents, planning and code
- Breaking Bad Tokens: Detoxification of LLMs Using Sparse AutoencodersMechanistic interpretability → Steering and probing for LLM safety
- Lessons from Defending Gemini Against Indirect Prompt InjectionsLLM safety and security → Prompt injection and agent security
- Energy-Efficient Deep Reinforcement Learning with Spiking TransformersDeep reinforcement learning methods → Spiking and neuromorphic RL
- SifterNet: A Generalized and Model-Agnostic Trigger Purification ApproachLLM safety and security → Backdoor and data poisoning attacks
- Internal Chain-of-Thought: Empirical Evidence for Layer-wise Subtask Scheduling in LLMsLLM reasoning → Prompting and chain-of-thought reasoning
- RoboRAN: A Unified Robotics Framework for Reinforcement Learning-Based Autonomous NavigationDeep reinforcement learning methods → RL for robot navigation and UAV control
- Guarded Query Routing for Large Language ModelsLLM safety and security → Safety alignment, refusal and guardrails
- Sparc3D: Sparse Representation and Construction for High-Resolution 3D Shapes ModelingDiffusion models → 3D, point cloud and scene generation
- Latent Flow TransformerDiffusion models → Diffusion foundations and sampling
- Learning to Integrate Diffusion ODEs by Averaging the DerivativesDiffusion models → Diffusion foundations and sampling
- Reasoning Models Better Express Their ConfidenceLLM reasoning → Test-time compute and efficient thinking
- MoMoE: Mixture of Moderation Experts Framework for AI-Assisted Online GovernanceLLM safety and security → Safety alignment, refusal and guardrails
- PlanGPT-VL: Enhancing Urban Planning with Domain-Specific Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Reliable Proof Generation with LLMs via Analogical Retrieval and Symbolic Verification: A Case Study in Euclidean GeometryLLM reasoning → Mathematical reasoning
- Attributional Safety Failures in Large Language Models under Code-Mixed PerturbationsLLM safety and security → Safety alignment, refusal and guardrails
- FlowTSE: Target Speaker Extraction with Flow MatchingDiffusion models → Audio, speech and music
- Not All Correct Answers Are Equal: Why Your Distillation Source MattersLLM reasoning → Prompting and chain-of-thought reasoning
- RAVENEA: A Benchmark for Multimodal Retrieval-Augmented Visual Culture UnderstandingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- VisualQuality-R1: Reasoning-Induced Image Quality Assessment via Reinforcement Learning to RankLLM reasoning → Multimodal reasoning
- Interpretable Reinforcement Learning for Load Balancing using Kolmogorov-Arnold NetworksDeep reinforcement learning methods → RL for energy, networks and operations
- CtrlDiff: Boosting Large Diffusion Language Models with Dynamic Block Prediction and Controllable GenerationDiffusion models → Discrete and text diffusion
- Video Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language ModelsEfficient LLM inference and serving → Visual token pruning in multimodal models
- Semantically-driven Deep Reinforcement Learning for Inspection Path PlanningDeep reinforcement learning methods → RL for robot navigation and UAV control
- Creative Preference OptimizationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Rank-K: Test-Time Reasoning for Listwise RerankingLLM reasoning → Knowledge- and tool-augmented reasoning
- From Templates to Natural Language: Generalization Challenges in Instruction-Tuned LLMs for Spatial ReasoningLLM reasoning → Spatial and embodied reasoning
- Scaling Low-Resource MT via Synthetic Data Generation with LLMsSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- SAE-FiRE: Enhancing Earnings Surprise Predictions Through Sparse Autoencoder Feature SelectionMechanistic interpretability → SAE features and their applications
- SCOPE: Compress Mathematical Reasoning Steps for Efficient Automated Process AnnotationLLM reasoning → Reinforcement learning for reasoning +1
- Hidden Ghost Hand: Unveiling Backdoor Vulnerabilities in MLLM-Powered Mobile GUI AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- PRL: Prompts from Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal InconsistencyMultimodal LLMs / vision-language models → Video understanding with MLLMs
All 601
- ViC-Bench: Benchmarking Visual-Interleaved Chain-of-Thought Capability in MLLMs with Free-Style Intermediate State RepresentationsLLM reasoning → Multimodal reasoning +1
- Unearthing Gems from Stones: Policy Optimization with Negative Sample Augmentation for LLM ReasoningLLM reasoning → Reinforcement learning for reasoning
- Log-Augmented Generation: Scaling Test-Time Reasoning with Reusable ComputationLLM reasoning → Test-time compute and efficient thinking +2
- Causal Cartographer: From Mapping to Reasoning Over Counterfactual WorldsWorld models → World models for language agents +1
- Beyond the First Error: Process Reward Models for Reflective Mathematical ReasoningLLM reasoning → Reinforcement learning for reasoning +1
- SCAN: Semantic Document Layout Analysis for Textual and Visual Retrieval-Augmented GenerationMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- From ASR to ASP: Evaluating Prompt Attack Vulnerabilities Against Open-Source LLMsLLM safety and security → Prompt injection and agent security
- Towards Embodied Cognition in Robots via Spatially Grounded Synthetic WorldsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- DeepEyes: Incentivizing "Thinking with Images" via Reinforcement LearningLLM reasoning → Multimodal reasoning +2
- Vision-Language Modeling Meets Remote Sensing: Models, Datasets and PerspectivesMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Vid2World: Crafting Video Diffusion Models to Interactive World ModelsWorld models → Video-generation world models and simulators +1
- WirelessMathBench: A Mathematical Modeling Benchmark for LLMs in Wireless CommunicationsLLM reasoning → Mathematical reasoning
- Towards eliciting latent knowledge from LLMs with mechanistic interpretabilityMechanistic interpretability → Knowledge and representations inside LLMs
- Plane Geometry Problem Solving with Multi-modal Reasoning: A SurveyLLM reasoning → Spatial and embodied reasoning +1
- Scaling and Enhancing LLM-based AVSR: A Sparse Mixture of Projectors ApproachMixture-of-experts → Multimodal MoE models
- Breaking Down Video LLM Benchmarks: Knowledge, Spatial Perception, or True Temporal Understanding?LLM reasoning → Multimodal reasoning
- Exploring Jailbreak Attacks on LLMs through Intent Concealment and DiversionLLM safety and security → Jailbreaking
- Teaching Small Language Models to Learn Logic through Meta-LearningLLM reasoning → Reasoning benchmarks and evaluation
- Studying the Role of Input-Neighbor Overlap in Retrieval-Augmented Language Models Training EfficiencyRetrieval-augmented generation → Generation and context integration
- Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning StrategyLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- EVA: Evolving Semantic Adversaries for Red-Teaming GUI Agents Against Environmental Injection AttacksLLM agents and tool use → Agent threats, guardrails and governance +1
- Think-J: Learning to Think for Generative LLM-as-a-JudgeLLM reasoning → Reinforcement learning for reasoning +1
- AAPO: Enhancing the Reasoning Capabilities of LLMs with Advantage MarginLLM reasoning → Reinforcement learning for reasoning
- Speculative Decoding Reimagined for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Mitigating Hallucination in Large Vision-Language Models through Aligning Attention Distribution to Information FlowMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic OptimizationDiffusion models → Image generation, text-to-image and editing
- Visual Agentic Reinforcement Fine-TuningLLM reasoning → Multimodal reasoning +1
- UniVG-R1: Reasoning Guided Universal Visual Grounding with Reinforcement LearningLLM reasoning → Multimodal reasoning
- Reinforcement Learning vs. Distillation: Understanding Accuracy and Capability in LLM ReasoningLLM reasoning → Reinforcement learning for reasoning +1
- Safety Degradation in AI AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Embedded Mean Field Reinforcement Learning for Perimeter-defense GameDeep reinforcement learning methods → RL for robot navigation and UAV control
- Towards Omnidirectional Reasoning with 360-R1: A Dataset, Benchmark, and GRPO-based MethodLLM reasoning → Spatial and embodied reasoning
- Safety Subspaces are Not Linearly Distinct: A Fine-Tuning Case StudyLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- ThinkSwitcher: When to Think Hard, When to Think FastLLM reasoning → Test-time compute and efficient thinking
- Tokenization Constraints in LLMs: A Study of Symbolic and Arithmetic Reasoning LimitsLLM reasoning → Mathematical reasoning
- Cheaper, Better, Faster, Stronger: Robust Text-to-SQL without Chain-of-Thought or Fine-TuningLLM reasoning → Knowledge- and tool-augmented reasoning
- THOR-MoE: Hierarchical Task-Guided and Context-Responsive Routing for Neural Machine TranslationMixture-of-experts → MoE large language models
- LMP: Leveraging Motion Prior in Zero-Shot Video Generation with Diffusion TransformerDiffusion models → Video generation
- DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge AccumulationLLM agents and tool use → Web, search, and research agents
- Breaking Language Barriers or Reinforcing Bias? A Study of Gender and Racial Disparities in Multilingual Contrastive Vision Language ModelsMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- ReactDiff: Latent Diffusion for Facial Reaction GenerationDiffusion models → Audio, speech and music
- MM-Agent: LLM as Agents for Real-world Mathematical Modeling ProblemLLM agents and tool use → Educational agents and math problem solving
- SHARP: Synthesizing High-quality Aligned Reasoning Problems for Large Reasoning Models Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning
- s3: You Don't Need That Much Data to Train a Search Agent via RLRetrieval-augmented generation → Agentic RAG, agents and memory +1
- Multimodal Mixture of Low-Rank Experts for Sentiment Analysis and Emotion RecognitionMixture-of-experts → Multimodal MoE models
- Building a Stable Planner: An Extended Finite State Machine Based Planning Module for Mobile GUI AgentLLM agents and tool use → GUI and mobile agents
- RL of Thoughts: Navigating LLM Reasoning with Inference-time Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning
- FlowQ: Energy-Guided Flow Policies for Offline Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
- Local Mixtures of Experts: Essentially Free Test-Time Training via Model MergingMixture-of-experts → MoE large language models
- MAS-KCL: Knowledge component graph structure learning with large language model-based agentic workflowLLM agents and tool use → Web, search, and research agents
- Intra-class Patch Swap for Self-DistillationKnowledge distillation → General knowledge distillation methods
- Self-Reasoning Language Models: Unfold Hidden Reasoning Chains with Few Reasoning CatalystLLM reasoning → Test-time compute and efficient thinking
- Invisible Entropy: Towards Safe and Efficient Low-Entropy LLM WatermarkingLLM safety and security → Watermarking generated content and models
- DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language ModelsLLM reasoning → Clinical and biomedical applications
- AudioJailbreak: Jailbreak Attacks against End-to-End Large Audio-Language ModelsLLM safety and security → Audio jailbreaks and speech backdoors
- Generalizable Multispectral Land Cover Classification via Frequency-Aware Mixture of Low-Rank Token ExpertsMixture-of-experts → Vision mixture-of-experts
- BAR: A Backward Reasoning based Agent for Complex Minecraft TasksLLM reasoning → Reasoning for agents, planning and code +1
- Textual Steering Vectors Can Improve Visual Understanding in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement LearningRetrieval-augmented generation → Agentic RAG, agents and memory +1
- NOVA: A Benchmark for Anomaly Localization and Clinical Reasoning in Brain MRILLM reasoning → Clinical and biomedical applications +1
- FractalMamba++: Scaling Vision Mamba Across Resolutions via Hilbert Fractal GeometryState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Improved Methods for Model Pruning and Knowledge DistillationKnowledge distillation → Knowledge distillation for LLMs
- Selective Structured State Space for Multispectral-fused Small Target DetectionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor DataLLM reasoning → Clinical and biomedical applications
- Adaptive Inference-Time Scaling via Cyclic Diffusion SearchLLM reasoning → Diffusion reasoning and test-time scaling +1
- ShieldVLM: Safeguarding the Multimodal Implicit Toxicity via Deliberative Reasoning with LVLMsLLM reasoning → Reasoning benchmarks and evaluation
- AutoBio: A Simulation and Benchmark for Robotic Automation in Digital Biology LaboratoryVision-language-action models → Generalist VLA models and benchmarks
- Activation-Guided Consensus Merging for Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- StPR: Spatiotemporal Preservation and Routing for Exemplar-Free Video Class-Incremental LearningMixture-of-experts → Mixture of LoRA experts
- Divide by Question, Conquer by Agent: SPLIT-RAG with Question-Driven Graph PartitioningRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG +1
- The Hallucination Tax of Reinforcement FinetuningLLM reasoning → Hallucination detection and mitigation
- RIDGECUT: Learning Graph Partitioning with Rings and WedgesDeep reinforcement learning methods → RL for games and combinatorial optimization
- Combining Deterministic Enhanced Conditions with Dual-Streaming Encoding for Diffusion-Based Speech EnhancementDiffusion models → Audio, speech and music
- DRP: Distilled Reasoning Pruning with Skill-aware Step Decomposition for Efficient Large Reasoning ModelsLLM reasoning → Prompting and chain-of-thought reasoning +1
- Toward Effective Reinforcement Learning Fine-Tuning for Medical VQA in Vision-Language ModelsLLM reasoning → Clinical and biomedical applications +1
- CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay ScoringLLM agents and tool use → General LLM agent frameworks and benchmarks
- MultiDrive: A Co-Simulation Framework Bridging 2D and 3D Driving Simulation for AV Software ValidationEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG
- FlashThink: An Early Exit Method For Efficient ReasoningLLM reasoning → Test-time compute and efficient thinking +1
- A Probabilistic Perspective on Model CollapseSynthetic data and self-improvement for LLMs → Model collapse from synthetic data
- Visual Instruction Bottleneck TuningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- MLZero: A Multi-Agent System for End-to-end Machine Learning AutomationLLM agents and tool use → Web, search, and research agents
- DrugPilot: LLM-based Parameterized Reasoning Agent for Drug DiscoveryLLM reasoning → Clinical and biomedical applications +1
- RLVR-World: Training World Models with Reinforcement LearningWorld models → Latent dynamics models and model-based RL
- BiCrossMamba-ST: Speech Deepfake Detection with Bidirectional Mamba Spectro-Temporal Cross-AttentionState-space sequence models (S4, Mamba) → Speech and audio SSMs
- Time Reversal Symmetry for Efficient Robotic Manipulations in Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- APEX: Empowering LLMs with Physics-Based Task Planning for Real-time InsightLLM reasoning → Spatial and embodied reasoning
- Efficient Agent Training for Computer UseLLM agents and tool use → GUI and mobile agents
- Let's Verify Math Questions Step by StepLLM reasoning → Mathematical reasoning
- Mapping the Minds of LLMs: A Graph-Based Analysis of Reasoning LLMLLM reasoning → Prompting and chain-of-thought reasoning
- InSpire: Vision-Language-Action Models with Intrinsic Spatial ReasoningLLM reasoning → Spatial and embodied reasoning +2
- Game-RL: Synthesizing Multimodal Verifiable Game Data to Boost VLMs' General ReasoningLLM reasoning → Multimodal reasoning
- U-SAM: An audio language Model for Unified Speech, Audio, and Music UnderstandingMixture-of-experts → Multimodal MoE models
- InfiFPO: Implicit Model Fusion via Preference Optimization in Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous DrivingEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- Reasoning Path Compression: Compressing Generation Trajectories for Efficient LLM ReasoningLLM reasoning → Test-time compute and efficient thinking +1
- PandaGuard: Systematic Evaluation of LLM Safety against Jailbreaking AttacksLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Domain Adaptation of VLM for Soccer Video UnderstandingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- A Semantic Information-based Hierarchical Speech Enhancement Method Using Factorized Codec and Diffusion ModelDiffusion models → Audio, speech and music
- EfficientLLM: Efficiency in Large Language ModelsMixture-of-experts → Efficient MoE training and inference systems
- Toward Real-World Cooperative and Competitive Soccer with Quadrupedal Robot TeamsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Pushing the Frontiers of Self-Distillation Prototypes Network with Dimension Regularization and Score NormalizationKnowledge distillation → Speech and audio distillation
- Structured Agent Distillation for Large Language ModelLLM agents and tool use → General LLM agent frameworks and benchmarks
- Fragments to Facts: Partial-Information Fragment Inference from LLMsLLM safety and security → Membership inference attacks
- InstanceBEV: Unifying Instance and BEV Representation for 3D Panoptic SegmentationEnd-to-end autonomous driving → VLMs for autonomous driving
- Context-Free Synthetic Data Mitigates ForgettingSynthetic data and self-improvement for LLMs → Model collapse from synthetic data
- Interpretable Traces, Unexpected Outcomes: Investigating the Disconnect in Trace-Based Knowledge DistillationLLM reasoning → Prompting and chain-of-thought reasoning +1
- Scalable Autoregressive 3D Molecule GenerationDiffusion models → Flow matching, time series and science
- Preference Learning with Lie Detectors can Induce Honesty or EvasionLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Super Kawaii Vocalics: Amplifying the "Cute" Factor in Computer Voice
- Extreme mass distributions for quasi-copulas
- Deep Learning Approach to Bearing and Induction Motor Fault Diagnosis via Data Fusion
- Forward Target Propagation: A Forward-Only Approach to Global Error Credit Assignment via Local Losses
- Enhancing Epidemic Forecasting: Evaluating the Role of Mobility Data and Graph Convolutional Networks
- Evaluating Privacy-Utility Tradeoffs in Synthetic Smart Grid Data
- When Algorithms Play Favorites: Lookism in the Generation and Perception of Faces
- OntoGSN: An Ontology-Based Framework for Semantic Management and Extension of Assurance Cases
- FlowBERT: Prompt-tuned BERT for variable flow field prediction
- Adaptive stable distribution and Hurst exponent by method of moments moving estimator for nonstationary time series
- UniSim: A Unified Simulator for Time-Coarsened Dynamics of Biomolecules
- Fusing Cross-Domain Knowledge from Multimodal Data to Solve Problems in the Physical World
- Machine Learning for Consistency Violation Faults Analysis
- Inter(sectional) Alia(s): Ambiguity in Voice Agent Identity via Intersectional Japanese Self-Referents
- Amadeus-Verbo Technical Report: The powerful Qwen2.5 family models trained in Portuguese
- Unified AI for Accurate Audio Anomaly Detection
- More-than-Human Storytelling: Designing Longitudinal Narrative Engagements with Generative AI
- Enhancing Vision Transformer Explainability Using Artificial Astrocytes
- The Role of Visualization in LLM-Assisted Knowledge Graph Systems: Effects on User Trust, Exploration, and Workflows
- Large Language Model Powered Decision Support for a Metal Additive Manufacturing Knowledge Graph
- Acoustic and Machine Learning Methods for Speech-Based Suicide Risk Assessment: A Systematic Review
- Large Language Model-Driven Distributed Integrated Multimodal Sensing and Semantic Communications
- Large Language Models Implicitly Learn to See and Hear Just By Reading
- EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language
- From Weak Labels to Strong Results: Utilizing 5,000 Hours of Noisy Classroom Transcripts with Minimal Accurate Data
- Informatics for Food Processing
- GSDFuse: Capturing Cognitive Inconsistencies from Multi-Dimensional Weak Signals in Social Media Steganalysis
- From nuclear safety to LLM security: Applying non-probabilistic risk management strategies to build safe and secure LLM-powered systems
- Scale-invariant Attention
- Not Minds, but Signs: Reframing LLMs through Semiotics
- GloSS over Toxicity: Understanding and Mitigating Toxicity in LLMs via Global Toxic Subspace
- Streamlining HTTP Flooding Attack Detection through Incremental Feature Selection
- Impact of Frame Rates on Speech Tokenizer: A Case Study on Mandarin and English
- Development and Validation of Engagement and Rapport Scales for Evaluating User Experience in Multimodal Dialogue Systems
- DisastIR: A Comprehensive Information Retrieval Benchmark for Disaster Management
- Integration of TinyML and LargeML: A Survey of 6G and Beyond
- Exploring Moral Exercises for Human Oversight of AI systems: Insights from Three Pilot Studies
- SDLog: A Deep Learning Framework for Detecting Sensitive Information in Software Logs
- DECASTE: Unveiling Caste Stereotypes in Large Language Models through Multi-Dimensional Bias Analysis
- Anomaly Detection Based on Critical Paths for Deep Neural Networks
- The Achilles Heel of AI: Fundamentals of Risk-Aware Training Data for High-Consequence Models
- MedBrowseComp: Benchmarking Medical Deep Research and Computer Use
- Privacy Preserving Conversion Modeling in Data Clean Room
- MultiMAE Meets Earth Observation: Pre-training Multi-modal Multi-task Masked Autoencoders for Earth Observation Tasks
- Soft Prompts for Evaluation: Measuring Conditional Distance of Capabilities
- To Be or Not To Be: Vector ontologies as a truly formal ontological framework
- Scan, Materialize, Simulate: A Generalizable Framework for Physically Grounded Robot Planning
- Foundations of Unknown-aware Machine Learning
- Colors Matter: AI-Driven Exploration of Human Feature Colors
- Pathobiological Dictionary Defining Pathomics and Texture Features: Addressing Understandable AI Issues in Personalized Liver Cancer; Dictionary Version LCP1.0
- Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels
- SecCAN: An Extended CAN Controller with Embedded Intrusion Detection
- TxPert: Leveraging Biochemical Relationships for Out-of-Distribution Transcriptomic Perturbation Prediction
- Reliable Decision Support with LLMs: A Framework for Evaluating Consistency in Binary Text Classification Applications
- ConspEmoLLM-v2: A robust and stable model to detect sentiment-transformed conspiracy theories
- TCSinger 2: Customizable Multilingual Zero-shot Singing Voice Synthesis
- Understanding 6G through Language Models: A Case Study on LLM-aided Structured Entity Extraction in Telecom Domain
- Concept Incongruence: An Exploration of Time and Death in Role Playing
- When to retrain a machine learning model
- Multi-Channel Swin Transformer Framework for Bearing Remaining Useful Life Prediction
- Feature-Weighted MMD-CORAL for Domain Adaptation in Power Transformer Fault Diagnosis
- On the Day They Experience: Awakening Self-Sovereign Experiential AI Agents
- Scaling Laws for State Dynamics in Large Language Models
- In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties
- Strategic Planning and Rationalizing on Trees Make LLMs Better Debaters
- Polar Sparsity: High Throughput Batched LLM Inferencing with Scalable Contextual Sparsity
- An active learning framework for multi-group mean estimation
- Incorporating Token Usage into Prompting Strategy Evaluation
- A self-regulated convolutional neural network for classifying variable stars
- Towards Inclusive ASR: Investigating Voice Conversion for Dysarthric Speech Recognition in Low-Resource Languages
- Saten: Sparse Augmented Tensor Networks for Post-Training Compression of Large Language Models
- VisTopics: A Visual Semantic Unsupervised Approach to Topic Modeling of Video and Image Data
- LOBSTUR: A Local Bootstrap Framework for Tuning Unsupervised Representations in Graph Neural Networks
- UPTor: Unified 3D Human Pose Dynamics and Trajectory Prediction for Human-Robot Interaction
- Replay Attacks Against Audio Deepfake Detection
- Open-Set Semi-Supervised Learning for Long-Tailed Medical Datasets
- Subquadratic Algorithms and Hardness for Attention with Any Temperature
- In-depth Research Impact Summarization through Fine-Grained Temporal Citation Analysis
- Deep Koopman operator framework for causal discovery in nonlinear dynamical systems
- Text Generation Beyond Discrete Token Sampling
- FisherSFT: Data-Efficient Supervised Fine-Tuning of Language Models Using Information Gain
- Assimilative Causal Inference
- Tracing Multilingual Factual Knowledge Acquisition in Pretraining
- WebNovelBench: Placing LLM Novelists on the Web Novel Distribution
- GraphemeAug: A Systematic Approach to Synthesized Hard Negative Keyword Spotting Examples
- Out-of-Distribution Generalization of In-Context Learning: A Low-Dimensional Subspace Perspective
- Place Cells as Multi-Scale Position Embeddings: Random Walk Transition Kernels for Path Planning
- Automated Journalistic Questions: A New Method for Extracting 5W1H in French
- SurvUnc: A Meta-Model Based Uncertainty Quantification Framework for Survival Analysis
- Text embedding models can be great data engineers
- KO: Kinetics-inspired Neural Optimizer with PDE Simulation Approaches
- This Time is Different: An Observability Perspective on Time Series Foundation Models
- Deep Learning-Based Forecasting of Boarding Patient Counts to Address ED Overcrowding
- Unifying Inference-Time Planning Language Generation
- LEANCODE: Understanding Models Better for Code Simplification of Pre-trained Large Language Models
- Kaleidoscope Gallery: Exploring Ethics and Generative AI Through Art
- Bridge2AI: Building A Cross-disciplinary Curriculum Towards AI-Enhanced Biomedical and Clinical Care
- LLINBO: Trustworthy LLM-in-the-Loop Bayesian Optimization
- Model-Independent Machine Learning Approach for Nanometric Axial Localization and Tracking
- TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation
- LLMSynthor: Macro-Aligned Micro-Records Synthesis with Large Language Models
- Cooperative Causal GraphSAGE
- LOD1 3D City Model from LiDAR: The Impact of Segmentation Accuracy on Quality of Urban 3D Modeling and Morphology Extraction
- Explainable Prediction of the Mechanical Properties of Composites with CNNs
- Beyond Either-Or Reasoning: Transduction and Induction as Cooperative Problem-Solving Paradigms
- Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis
- Leveraging Multivariate Long-Term History Representation for Time Series Forecasting
- Effective climate policies for major emission reductions of ozone precursors: Global evidence from two decades
- Predicting Neoadjuvant Chemotherapy Response in Triple-Negative Breast Cancer Using Pre-Treatment Histopathologic Images
- MedBLIP: Fine-tuning BLIP for Medical Image Captioning
- Language Models use Lookbacks to Track Beliefs
- Emerging Properties in Unified Multimodal Pretraining
- UltraEdit: Training-, Subject-, and Memory-Free Lifelong Editing in Language Models
- UniCTokens: Boosting Personalized Understanding and Generation via Unified Concept Tokens
- Quantum Optimization via Gradient-Based Hamiltonian Descent
- Quartet: Native FP4 Training Can Be Optimal for Large Language Models
- AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings
- Abacus: A Cost-Based Optimizer for Semantic Operator Systems
- EmoGist: Efficient In-Context Learning for Visual Emotion Understanding
- Explainable AI for Securing Healthcare in IoT-Integrated 6G Wireless Networks
- Cost-Awareness in Tree-Search LLM Planning: A Systematic Study
- Sequential QCQP for Bilevel Optimization with Line Search
- CAD-Coder: An Open-Source Vision-Language Model for Computer-Aided Design Code Generation
- Early Diagnosis of Atrial Fibrillation Recurrence: A Large Tabular Model Approach with Structured and Unstructured Clinical Data
- Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference
- Bridging Predictive Coding and MDL: A Two-Part Code Framework for Deep Learning
- A General Framework for Group Sparsity in Hyperspectral Unmixing Using Endmember Bundles
- Will AI Tell Lies to Save Sick Children? Litmus-Testing AI Values Prioritization with AIRiskDilemmas
- KERL: Knowledge-Enhanced Personalized Recipe Recommendation using Large Language Models
- 3D Reconstruction from Sketches
- Enhancing Learned Knowledge in LoRA Adapters Through Efficient Contrastive Decoding on Ascend NPUs
- Virtual Cells: Predict, Explain, Discover
- MMD-Newton Method for Multi-objective Optimization
- Attacks on Machine-Text Detectors Retain Stylistic Fingerprints
- Electrostatics from Laplacian Eigenbasis for Neural Network Interatomic Potentials
- Towards a Foundation Model for Communication Systems
- Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models
- Success is in the Details: Evaluate and Enhance Details Sensitivity of Code LLMs through Counterfactuals
- CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering
- Physics-informed Reduced Order Modeling of Time-dependent PDEs via Differentiable Solvers
- Adaptive Pruning of Deep Neural Networks for Resource-Aware Embedded Intrusion Detection on the Edge
- MCIP: Protecting MCP Safety via Model Contextual Integrity Protocol
- High-Dimensional Analysis of Bootstrap Ensemble Classifiers
- Instance Segmentation for Point Sets
- Performance Optimization of Energy-Harvesting Underlay Cognitive Radio Networks Using Reinforcement Learning
- Inference with correlated priors using sisters cells
- TRATES: Trait-Specific Rubric-Assisted Cross-Prompt Essay Scoring
- Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images
- Agent Context Protocols Enhance Collective Inference
- SSPS: Self-Supervised Positive Sampling for Robust Self-Supervised Speaker Verification
- Neural Inverse Scattering with Score-based Regularization
- Dynadiff: Single-stage Decoding of Images from Continuously Evolving fMRI
- Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting
- Pivot Language for Low-Resource Machine Translation
- Game of Trust: How Trustworthy Does Your Blockchain Think You Are?
- Can Large Language Models Really Recognize Your Name?
- Smart Traffic Signals: Comparing MARL and Fixed-Time Strategies
- Time to Embed: Unlocking Foundation Models for Time Series with Channel Descriptions
- Neural Video Compression with Context Modulation
- A Logic of General Attention Using Edge-Conditioned Event Models (Extended Version)
- Personalize Your Gaussian: Consistent 3D Scene Personalization from a Single Image
- Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning
- A simple estimator of the correlation kernel matrix of a determinantal point process
- diffDemorph: Extending Reference-Free Demorphing to Unseen Faces
- Exploring Graph Representations of Logical Forms for Language Modeling
- Interpretable Dual-Stream Learning for Local Wind Hazard Prediction in Vulnerable Communities
- Teaching Audio-Aware Large Language Models What Does Not Hear: Mitigating Hallucinations through Synthesized Negative Samples
- Steering Deep Non-Linear Spatially Selective Filters for Weakly Guided Extraction of Moving Speakers in Dynamic Scenarios
- Just One Layer Norm Guarantees Stable Extrapolation
- ReservoirTTA: Prolonged Test-time Adaptation for Evolving and Recurring Domains
- BACON: A fully explainable AI model with graded logic for decision making problems
- Federated prediction for scalable and privacy-preserved knowledge-based planning in radiotherapy
- ModRWKV: Transformer Multimodality in Linear Time
- Enhanced Multimodal Aspect-Based Sentiment Analysis by LLM-Generated Rationales
- Personalised Insulin Adjustment with Reinforcement Learning: An In-Silico Validation for People with Diabetes on Intensive Insulin Treatment
- Enhancing Interpretability of Sparse Latent Representations with Class Information
- Adapting Pretrained Language Models for Citation Classification via Self-Supervised Contrastive Learning
- PAST: Phonetic-Acoustic Speech Tokenizer
- ServerlessLoRA: Enabling Low-Latency Serverless Multi-LoRA Serving
- Void in Language Models
- Adverseness vs. Equilibrium: Exploring Graph Adversarial Resilience through Dynamic Equilibrium
- How Managers Perceive AI-Assisted Conversational Training for Workplace Communication
- RefiDiff: Progressive Refinement Diffusion for Efficient Missing Data Imputation
- Mitigating Subgroup Disparities in Multi-Label Speech Emotion Recognition: A Pseudo-Labeling and Unsupervised Learning Approach
- S2SBench: A Benchmark for Quantifying Intelligence Degradation in Speech-to-Speech Large Language Models
- Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models
- Choosing a Model, Shaping a Future: Comparing LLM Perspectives on Sustainability and its Relationship with AI
- Interpretable Neural System Dynamics: Combining Deep Learning with System Dynamics Modeling to Support Critical Applications
- Explaining Neural Networks with Reasons
- A system identification approach to clustering vector autoregressive time series
- Towards Non-Euclidean Foundation Models: Advancing AI Beyond Euclidean Frameworks
- Table Foundation Models: on knowledge pre-training for tabular learning
- Diving into the Fusion of Monocular Priors for Generalized Stereo Matching
- Byte Pair Encoding for Efficient Time Series Forecasting
- Pairwise Evaluation of Accent Similarity in Speech Synthesis
- Explaining Unreliable Perception in Automated Driving: A Fuzzy-based Monitoring Approach
- Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis
- OmniGenBench: A Modular Platform for Reproducible Genomic Foundation Models Benchmarking
- MUG-Eval: A Proxy Evaluation Framework for Multilingual Generation Capabilities in Any Language
- Knowledge Graph Based Repository-Level Code Generation
- Editing Across Languages: A Survey of Multilingual Knowledge Editing
- Algorithmic Hiring and Diversity: Reducing Human-Algorithm Similarity for Better Outcomes
- When Bias Backfires: The Modulatory Role of Counterfactual Explanations on the Adoption of Algorithmic Bias in XAI-Supported Human Decision-Making
- Graph-Guided Passage Retrieval for Author-Centric Structured Feedback
- Layer-wise Quantization for Quantized Optimistic Dual Averaging
- Dual Decomposition of Weights and Singular Value Low Rank Adaptation
- Dual Data Alignment Makes AI-Generated Image Detector Easier Generalizable
- PersonaTAB: Predicting Personality Traits using Textual, Acoustic, and Behavioral Cues in Fully-Duplex Speech Dialogs
- FMSD-TTS: Few-shot Multi-Speaker Multi-Dialect Text-to-Speech Synthesis for "U-Tsang, Amdo and Kham Speech Dataset Generation
- OSoRA: Output-Dimension and Singular-Value Initialized Low-Rank Adaptation
- Upgrading Democracies with Fairer Voting Methods
- QA-prompting: Improving Summarization with Large Language Models using Question-Answering
- Egocentric Action-aware Inertial Localization in Point Clouds with Vision-Language Guidance
- Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights
- Mixing times of data-augmentation Gibbs samplers for high-dimensional probit regression
- Replace in Translation: Boost Concept Alignment in Counterfactual Text-to-Image
- Better Neural Network Expressivity: Subdividing the Simplex
- Domain Adaptation for Multi-label Image Classification: a Discriminator-free Approach
- Handloom Design Generation Using Generative Networks
- Securing Transfer-Learned Networks with Reverse Homomorphic Encryption
- Accuracy and Fairness of Facial Recognition Technology in Low-Quality Police Images: An Experiment With Synthetic Faces
- RETRO: REthinking Tactile Representation Learning with Material PriOrs
- RADAR: Enhancing Radiology Report Generation with Supplementary Knowledge Injection
- Low-Cost FlashAttention with Fused Exponential and Multiplication Hardware Operators
- MultiTab: A Comprehensive Benchmark Suite for Multi-Dimensional Evaluation in Tabular Domains
- HausaNLP: Current Status, Challenges and Future Directions for Hausa Natural Language Processing
- Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity
- JOLT-SQL: Joint Loss Tuning of Text-to-SQL with Confusion-aware Noisy Schema Sampling
- Optimizing Binary and Ternary Neural Network Inference on RRAM Crossbars using CIM-Explorer
- Scaling Law for Quantization-Aware Training
- Beyond Black-Box Obfuscation: Mechanistic Analysis and Defense of White-Box Monitors
- A Review of Vision-Based Assistive Systems for Visually Impaired People: Technologies, Applications, and Future Directions
- Cross-Lingual Optimization for Language Transfer in Large Language Models
- Towards Generating Realistic Underwater Images
- Benchmarking data encoding methods in Quantum Machine Learning
- Universal Acoustic Adversarial Attacks for Flexible Control of Speech-LLMs
- AquaSignal: An Integrated Framework for Robust Underwater Acoustic Analysis
- The Post Double LASSO for Efficiency Analysis
- YESciEval: Robust LLM-as-a-Judge for Scientific Question Answering
- X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning
- Data-Efficient Hate Speech Detection via Cross-Lingual Nearest Neighbor Retrieval with Limited Labeled Data
- FAID: Fine-Grained AI-Generated Text Detection Using Multi-Task Auxiliary and Multi-Level Contrastive Learning
- RA-Touch: Retrieval-Augmented Touch Understanding with Enriched Visual Data
- FuxiMT: Sparsifying Large Language Models for Chinese-Centric Multilingual Machine Translation
- Hybrid Adaptive Modeling in Process Monitoring: Leveraging Sequence Encoders and Physics-Informed Neural Networks
- A Private Approximation of the 2nd-Moment Matrix of Any Subsamplable Input
- Path-integral molecular dynamics with actively-trained and universal machine learning force fields
- TransBench: Benchmarking Machine Translation for Industrial-Scale Applications
- Technical Report on classification of literature related to children speech disorder
- Learning with Local Search MCMC Layers
- Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation
- ABBA-Adapters: Efficient and Expressive Fine-Tuning of Foundation Models
- Toward Embodied AGI: A Review of Embodied AI and the Road Ahead
- Fast, close, non-singular and property-preserving approximations of entropic measures
- Mechanistic Fine-tuning for In-context Learning
- VoQA: Visual-only Question Answering
- Phonetic Perturbations Reveal Tokenizer-Rooted Safety Gaps in LLMs
- Flexible-weighted Chamfer Distance: Enhanced Objective Function for Point Cloud Completion
- Federated learning in low-resource settings: A chest imaging study in Africa -- Challenges and lessons learned
- Regularized least squares learning with heavy-tailed noise is minimax optimal
- Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks
- A PID-Controlled Tensor Wheel Decomposition Model for Dynamic Link Prediction
- Challenges and Limitations of Generative AI in Synthesizing Wearable Sensor Data
- Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment
- MSDformer: Multi-scale Discrete Transformer For Time Series Generation
- FLASH-D: FlashAttention with Hidden Softmax Division
- Unraveling Interwoven Roles of Large Language Models in Authorship Privacy: Obfuscation, Mimicking, and Verification
- Dynamic Replanning for Improved Public Transport Routing
- QSVM-QNN: Quantum Support Vector Machine Based Quantum Neural Network Learning Algorithm for Brain-Computer Interfacing Systems
- α-GAN by R'enyi Cross Entropy
- SlangDIT: Benchmarking LLMs in Interpretative Slang Translation
- Bridge the Gap between Past and Future: Siamese Model Optimization for Context-Aware Document Ranking
- Enhancing Abstractive Summarization of Scientific Papers Using Structure Information
- From stability of Langevin diffusion to convergence of proximal MCMC for non-log-concave sampling
- The Strawberry Problem: Emergence of Character-level Understanding in Tokenized Language Models
- Nonparametric Teaching for Graph Property Learners
- PL-FGSA: A Prompt Learning Framework for Fine-Grained Sentiment Analysis Based on MindSpore
- Hybrid Bernstein Normalizing Flows for Flexible Multivariate Density Regression with Interpretable Marginals
- Personalized Bayesian Federated Learning with Wasserstein Barycenter Aggregation
- M3Depth: Wavelet-Enhanced Depth Estimation on Mars via Mutual Boosting of Dual-Modal Data
- Temporal Alignment of Time Sensitive Facts with Activation Engineering
- Prior Prompt Engineering for Reinforcement Fine-Tuning
- Unify Graph Learning with Text: Unleashing LLM Potentials for Session Search
- Enhancing Keyphrase Extraction from Academic Articles Using Section Structure Information
- Memory Assignment for Finite-Memory Strategies in Adversarial Patrolling Games
- Hunyuan-Game: Industrial-grade Intelligent Game Creation Model
- Texts or Images? A Fine-grained Analysis on the Effectiveness of Input Representations and Models for Table Question Answering
- Probing BERT for German Compound Semantics
- A Methodological Framework for Measuring Spatial Labeling Similarity
- Contrastive Consolidation of Top-Down Modulations Achieves Sparsely Supervised Continual Learning
- Assessing wildfire susceptibility in Iran: Leveraging machine learning for geospatial analysis of climatic and anthropogenic factors
- Collaborative Unlabeled Data Optimization
- CONSIGN: Conformal Segmentation Informed by Spatial Groupings via Decomposition
- A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations
- Mitigating Pretraining-Induced Attention Asymmetry in 2D+ Electron Microscopy Image Segmentation
- Legal Rule Induction: Towards Generalizable Principle Discovery from Analogous Judicial Precedents
- High-dimensional Nonparametric Contextual Bandit Problem
- MultiHal: Multilingual Dataset for Knowledge-Graph Grounded Evaluation of LLM Hallucinations
- Unlocking the Power of SAM 2 for Few-Shot Segmentation
- Beyond Chains: Bridging Large Language Models and Knowledge Bases in Complex Question Answering
- Large-Scale Multi-Character Interaction Synthesis
- Computational Efficiency under Covariate Shift in Kernel Ridge Regression
- Personalized and Resilient Distributed Learning Through Opinion Dynamics
- Gender Trouble in Language Models: An Empirical Audit Guided by Gender Performativity Theory
- Personalized Student Knowledge Modeling for Future Learning Resource Prediction
- Enhancing LLMs via High-Knowledge Data Selection
- Place Recognition Meet Multiple Modalitie: A Comprehensive Review, Current Challenges and Future Directions
- Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting
- Field Matters: A Lightweight LLM-enhanced Method for CTR Prediction
- Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification
- From Unaligned to Aligned: Scaling Multilingual LLMs with Multi-Way Parallel Corpora
- Generalized Category Discovery via Token Manifold Capacity Learning
- Adversarially Pretrained Transformers May Be Universally Robust In-Context Learners
- Unsupervised Graph Clustering with Deep Structural Entropy
- Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators
- Partition-wise Graph Filtering: A Unified Perspective Through the Lens of Graph Coarsening
- AppleGrowthVision: A large-scale stereo dataset for phenological analysis, fruit detection, and 3D reconstruction in apple orchards
- OmniStyle: Filtering High Quality Style Transfer Data at Scale
- CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data
- FedGraM: Defending Against Untargeted Attacks in Federated Learning via Embedding Gram Matrix
- Towards Efficient Multi-Scale Deformable Attention on NPU
- Adversarial Training from Mean Field Perspective
- Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning
- End-to-end Cortical Surface Reconstruction from Clinical Magnetic Resonance Images
- ThermoONet -- a deep learning-based small body thermophysical network: applications to modelling water activity of comets
- AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation
- EGFormer: Towards Efficient and Generalizable Multimodal Semantic Segmentation
- Adaptive Sentencing Prediction with Guaranteed Accuracy and Legal Interpretability
- UHD Image Dehazing via anDehazeFormer with Atmospheric-aware KV Cache
- Multi-Label Stereo Matching for Transparent Scene Depth Estimation
- Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks
- VeRecycle: Reclaiming Guarantees from Probabilistic Certificates for Stochastic Dynamical Systems after Change
- ELEPHANT: Measuring and understanding social sycophancy in LLMs
- DecIF: Improving Instruction-Following through Meta-Decomposition
- When LLMs meet open-world graph learning: a new perspective for unlabeled data uncertainty
- Mixed Signals: Understanding Model Disagreement in Multimodal Empathy Detection
- Truth or Twist? Optimal Model Selection for Reliable Label Flipping Evaluation in LLM-based Counterfactuals
- The Multimodal Information Based Speech Processing (MISP) 2025 Challenge: Audio-Visual Diarization and Recognition
- Hypothesis on the Functional Advantages of the Selection-Broadcast Cycle Structure: Global Workspace Theory and Dealing with a Real-Time World
- Through a Compressed Lens: Investigating The Impact of Quantization on Factual Knowledge Recall
- VAMO: Efficient Zeroth-Order Variance Reduction for SGD with Faster Convergence
- Memory-Centric Embodied Question Answering
- WAVE++: Capturing Within-Task Variance for Continual Relation Extraction with Adaptive Prompting
- From Press to Pixels: Evolving Urdu Text Recognition
- CLEVER: A Curated Benchmark for Formally Verified Code Generation
- EEG-to-Text Translation: A Model for Deciphering Human Brain Activity
- LoVR: A Benchmark for Long Video Retrieval in Multimodal Contexts
- An Explorative Analysis of SVM Classifier and ResNet50 Architecture on African Food Classification
- Blind Restoration of High-Resolution Ultrasound Video
- Parallel Belief Revision via Order Aggregation
- Word length predicts word order: "Min-max"-ing drives language evolution
- Bronchovascular Tree-Guided Weakly Supervised Learning Method for Pulmonary Segment Segmentation
- ShortcutProbe: Probing Prediction Shortcuts for Learning Robust Models
- Cross-Linguistic Transfer in Multilingual NLP: The Role of Language Families and Morphology
- Cross-Domain Diffusion with Progressive Alignment for Efficient Adaptive Retrieval
- XDementNET: An Explainable Attention Based Deep Convolutional Network to Detect Alzheimer Progression from MRI data
- 4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision
- Learning to Insert for Constructive Neural Vehicle Routing Solver
- An Asymptotic Equation Linking WAIC and WBIC in Singular Models
- New Evidence of the Two-Phase Learning Dynamics of Neural Networks
- Causes and Consequences of Representational Similarity in Machine Learning Models
- Do Language Models Use Their Depth Efficiently?
- CRAFT: Time Series Forecasting with Cross-Future Behavior Awareness
- InfiGFusion: Graph-on-Logits Distillation via Efficient Gromov-Wasserstein for Model Fusion
- Certifiably Safe Manipulation of Deformable Linear Objects via Joint Shape and Tension Prediction
- Mobile-Agent-V: A Video-Guided Approach for Effortless and Efficient Operational Knowledge Injection in Mobile Automation
- TranSUN: A Preemptive Paradigm to Eradicate Retransformation Bias Intrinsically from Regression Models in Recommender Systems
- Automated Quality Evaluation of Cervical Cytopathology Whole Slide Images Based on Content Analysis
- Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model
- Graphon Mixtures
- Enforcing Hard Linear Constraints in Deep Learning Models with Decision Rules
- Learning Spatio-Temporal Dynamics for Trajectory Recovery via Time-Aware Transformer
- SuperMapNet for Long-Range and High-Accuracy Vectorized HD Map Construction
- Domain Gating Ensemble Networks for AI-Generated Text Detection
- Rethink the Role of Deep Learning towards Large-scale Quantum Systems
- A Challenge to Build Neuro-Symbolic Video Agents
- Forensic deepfake audio detection using segmental speech features
- Improve Language Model and Brain Alignment via Associative Memory
- Exploring Image Quality Assessment from a New Perspective: Pupil Size
- MGStream: Motion-aware 3D Gaussian for Streamable Dynamic Scene Reconstruction
- Enhancing Robot Navigation Policies with Task-Specific Uncertainty Managements
- TelePlanNet: An AI-Driven Framework for Efficient Telecom Network Planning
- Multimodal RAG-driven Anomaly Detection and Classification in Laser Powder Bed Fusion using Large Language Models
- Articulatory Feature Prediction from Surface EMG during Speech Production
- FlashKAT: Understanding and Addressing Performance Bottlenecks in the Kolmogorov-Arnold Transformer
- Physics-Driven Local-Whole Elastic Deformation Modeling for Point Cloud Representation Learning
- Semiparametric Off-Policy Inference for Optimal Policy Values under Possible Non-Uniqueness
- RAG/LLM Augmented Switching Driven Polymorphic Metaheuristic Framework
- ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech
- LLM-based Evaluation Policy Extraction for Ecological Modeling
- Ground-V: Teaching VLMs to Ground Complex Instructions in Pixels
- Transfer Learning from Visual Speech Recognition to Mouthing Recognition in German Sign Language