Papers
Fri 10 Oct 2025
455 papers
- Context-Aware Visual Prompting: Automating Geospatial Web Dashboards with Large Language Models and Agent Self-Validation for Decision SupportLLM agents and tool use → Multimodal and embodied agents
- Modeling Layered Consciousness with Multi-Agent Large Language ModelsLLM agents and tool use → Social simulation and multi-agent debate
- How Good Are LLMs at Processing Tool Outputs?LLM agents and tool use → Tool learning and function calling
- ATLAS: Adaptive Trading with LLM AgentS Through Dynamic Prompt Optimization and Multi-Agent CoordinationLLM agents and tool use → Financial trading and forecasting agents
- VisuoAlign: Safety Alignment of LVLMs with Multimodal Tree SearchLLM reasoning → Reasoning for agents, planning and code +3
- Users as Annotators: LLM Preference Learning from Comparison ModeLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- A Linguistics-Aware LLM Watermarking via Syntactic PredictabilityLLM safety and security → Watermarking generated content and models
- Bridging the Semantic Gap: Contrastive Rewards for Multilingual Text-to-SQL with GRPOLLM reasoning → Knowledge- and tool-augmented reasoning
- AI Agents for the Dhumbal Card Game: A Comparative StudyDeep reinforcement learning methods → RL for games and combinatorial optimization
- HeadsUp! High-Fidelity Portrait Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- Don't Throw Away Your Pretrained ModelLLM reasoning → Reasoning benchmarks and evaluation
- Agentic Property-Based Testing: Finding Bugs Across the Python EcosystemLLM agents and tool use → Software engineering coding agents
- The Personalization Trap: How User Memory Alters Emotional Reasoning in LLMsLLM reasoning → Audio-language model reasoning
- Autonomous Agents for Scientific Discovery: Orchestrating Scientists, Language, Code, and PhysicsLLM agents and tool use → Web, search, and research agents
- Overconfident and Blind to Details: Fixing Prompt Insensitivity with Abductive Preference LearningLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- DELTA: Dynamic Layer-Aware Token Attention for Efficient Long-Context ReasoningLLM reasoning → Test-time compute and efficient thinking
- WARC-Bench: Web Archive Based Benchmark for GUI Subtask ExecutionsLLM agents and tool use → Web, search, and research agents
- CoBia: Constructed Conversations Can Trigger Otherwise Concealed Societal Biases in LLMsLLM safety and security → Safety alignment, refusal and guardrails
- Cluster-Aware Prompt Ensemble Learning for Few-Shot Vision-Language Model AdaptationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Text Prompt Injection of Vision Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- How can we assess human-agent interactions? Case studies in software agent designLLM agents and tool use → Software engineering coding agents
- Causality neq Decodability, and Vice Versa: Lessons from Interpreting Counting ViTsMechanistic interpretability → Circuits and mechanistic analysis
- Enhancing Diffusion Policy with Classifier-Free Guidance for Temporal Robotic TasksDiffusion models → Diffusion and flow policies for robotics
- The Geometry of Reasoning: Flowing Logics in Representation SpaceLLM reasoning → Reasoning benchmarks and evaluation
- Building a Foundational Guardrail for General Agentic Systems via Synthetic DataLLM agents and tool use → Agent threats, guardrails and governance +2
- GOLD PANNING: Strategic Context Shuffling for Needle-in-Haystack ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- PatentVision: A multimodal method for drafting patent applicationsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Constructive Distortion: Improving MLLMs with Attention-Guided Image WarpingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented GenerationLLM reasoning → Multimodal reasoning +2
- A Comprehensive Survey on Benchmarks and Solutions in Software Engineering of LLM-Empowered Agentic SystemLLM agents and tool use → Software engineering coding agents
- Preference-Aware Memory Update for Long-Term LLM AgentsLLM reasoning → Reasoning for agents, planning and code +1
- All Code, No Thought: Current Language Models Struggle to Reason in Ciphered LanguageLLM reasoning → Reasoning for agents, planning and code
- SeCon-RAG: A Two-Stage Semantic Filtering and Conflict-Free Framework for Trustworthy RAGRetrieval-augmented generation → RAG robustness and adaptive retrieval
- StreamingVLM: Real-Time Understanding for Infinite Video StreamsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- VITA-VLA: Efficiently Teaching Vision-Language Models to Act via Action Expert DistillationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- SpaceVista: All-Scale Visual Spatial Reasoning from mm to kmLLM reasoning → Spatial and embodied reasoning
- Prompting Test-Time Scaling Is A Strong LLM Reasoning Data AugmentationLLM reasoning → Test-time compute and efficient thinking
- Mind-Paced Speaking: A Dual-Brain Approach to Real-Time Reasoning in Spoken Language ModelsLLM reasoning → Audio-language model reasoning
- Vision Language Models: A Survey of 26K PapersMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Dyna-Mind: Learning to Simulate from Experience for Better AI AgentsLLM reasoning → Reasoning for agents, planning and code
- Safe, Untrusted, "Proof-Carrying" AI Agents: toward the agentic lakehouseLLM agents and tool use → Agent threats, guardrails and governance
- TC-LoRA: Temporally Modulated Conditional LoRA for Adaptive Diffusion ControlDiffusion models → Diffusion foundations and sampling
- A Comprehensive Evaluation of Multilingual Chain-of-Thought Reasoning: Performance, Consistency, and Faithfulness Across LanguagesLLM reasoning → Reasoning benchmarks and evaluation
- Beyond Surface Reasoning: Unveiling the True Long Chain-of-Thought Capacity of Diffusion Large Language ModelsLLM reasoning → Diffusion reasoning and test-time scaling
- Guiding Energy-Efficient Locomotion through Impact Mitigation RewardsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- SPG: Sandwiched Policy Gradient for Masked Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- Mitigating Overthinking through Reasoning ShapingLLM reasoning → Test-time compute and efficient thinking
- Conditional Flow Matching for Bayesian Posterior InferenceDiffusion models → Flow matching, time series and science
- StatEval: A Comprehensive Benchmark for Large Language Models in StatisticsLLM reasoning → Reasoning benchmarks and evaluation
- MRMR: A Realistic and Expert-Level Multidisciplinary Benchmark for Reasoning-Intensive Multimodal RetrievalLLM reasoning → Multimodal reasoning
- Toward Autonomous Soft Robotic Endovascular Navigation via Imitation LearningOffline RL and imitation learning from data → Safe offline RL
- Near-Optimal Second-Order Guarantees for Model-Based Adversarial Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
- FOGMACHINE -- Leveraging Discrete-Event Simulation and Scene Graphs for Modeling Hierarchical, Interconnected Environments under Partial Observations from Mobile AgentsLLM agents and tool use → Multimodal and embodied agents
- Multimodal Policy Internalization for Conversational AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- D-TPT: Dimensional Entropy Maximization for Calibrating Test-Time Prompt Tuning in Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Hybrid Models for Natural Language Reasoning: The Case of Syllogistic LogicLLM reasoning → Reasoning benchmarks and evaluation
- Getting Your Indices in a Row: Full-Text Search for LLM Training Data for Real WorldLLM safety and security → Machine unlearning
- Adaptive Attacks on Trusted Monitors Subvert AI Control ProtocolsLLM agents and tool use → Agent threats, guardrails and governance +1
- Failure Prediction at Runtime for Generative Robot PoliciesDiffusion models → Diffusion and flow policies for robotics +1
- KORMo: Korean Open Reasoning Model for EveryoneLLM reasoning → Reasoning benchmarks and evaluation
- Agentic Systems in Radiology: Design, Applications, Evaluation, and ChallengesLLM agents and tool use → Medical and scientific domain agents
- Beyond Single-Granularity Prompts: A Multi-Scale Chain-of-Thought Prompt Learning for GraphLLM reasoning → Prompting and chain-of-thought reasoning
- Don't Tell the Answer, Truly Guide the Reasoning During RL RolloutsLLM reasoning → Reinforcement learning for reasoning
- Token-Level Policy Optimization: Linking Group-Level Rewards to Token-Level Aggregation via Markov LikelihoodLLM reasoning → Reinforcement learning for reasoning
- Minkowski-MambaNet: A Point Cloud Framework with Selective State Space Models for Forest Biomass QuantificationState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- BLINK-Twice: You see, but do you observe? A Reasoning Benchmark on Visual PerceptionLLM reasoning → Multimodal reasoning +1
- Boosting Multi-modal Keyphrase Prediction with Dynamic Chain-of-Thought in Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- Logit Arithmetic Elicits Long Reasoning Capabilities Without TrainingLLM reasoning → Test-time compute and efficient thinking +1
- ReTraceQA: Evaluating Reasoning Traces of Small Language Models in Commonsense Question AnsweringLLM reasoning → Reasoning benchmarks and evaluation
- Deductive Logic in Language Models: Horizontal vs Vertical ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Efficient Bayesian Inference from Noisy Pairwise ComparisonsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- FLRC: Fine-grained Low-Rank Compressor for Efficient LLM InferenceEfficient LLM inference and serving → KV cache optimization
- Safety Game: Inference-Time Alignment of Black-Box LLMs via Constrained OptimizationLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Rate optimal learning of equilibria from dataOffline RL and imitation learning from data → Imitation learning methods
- RadioFlow: Efficient Radio Map Construction Framework with Flow MatchingDiffusion models → Diffusion for compression and wireless
- Verifying Chain-of-Thought Reasoning via Its Computational GraphLLM reasoning → Prompting and chain-of-thought reasoning
- Mask Tokens as Prophet: Fine-Grained Cache Eviction for Efficient dLLM InferenceEfficient LLM inference and serving → Diffusion LLM and MoE inference
- CapGeo-Bench: Decoupling Visual Perception from Reasoning and Evaluating Geometric UnderstandingLLM reasoning → Spatial and embodied reasoning +1
- Spotlight on Token Perception for Multimodal Reinforcement LearningLLM reasoning → Multimodal reasoning +2
- CLARity: Reasoning Consistency Alone Can Teach Reinforced ExpertsLLM reasoning → Reinforcement learning for reasoning
- Inflated Excellence or True Performance? Rethinking Medical Diagnostic Benchmarks with Dynamic EvaluationLLM reasoning → Clinical and biomedical applications
- MomentSeg: Moment-Centric Sampling for Enhanced Video Pixel UnderstandingLLM reasoning → Multimodal reasoning
- Goal-oriented Backdoor Attack against Vision-Language-Action Models via Physical ObjectsVision-language-action models → Safety and adversarial attacks +1
- CFVBench: A Comprehensive Video Benchmark for Fine-grained Multimodal Retrieval-Augmented GenerationMultimodal LLMs / vision-language models → Video understanding with MLLMs +1
- GREAT: Generalizable Backdoor Attacks in RLHF via Emotion-Aware Trigger SynthesisLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- Hallucination Filtering in Radiology Vision-Language Models Using Discrete Semantic EntropyMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- DSPO: Stable and Efficient Policy Optimization for Agentic Search and ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Obstacle Avoidance using Dynamic Movement Primitives and Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- On the Robustness of Vision-Language Models in Zero-shot Privacy ClassificationMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Application of Deep Reinforcement Learning to At-the-Money S&P 500 Options HedgingDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Fundamentals of Building Autonomous LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- RegexPSPACE: A Benchmark for Evaluating LLM Reasoning on PSPACE-complete Regex ProblemsLLM reasoning → Reasoning benchmarks and evaluation
- FM-IRL: Flow-Matching for Reward Modeling and Policy Regularization in Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +3
- Stable Video Infinity: Infinite-Length Video Generation with Error RecyclingDiffusion models → Video generation
- DICE: Structured Reasoning in LLMs through SLM-Guided Chain-of-Thought CorrectionLLM reasoning → Prompting and chain-of-thought reasoning
- Flow-Opt: Scalable Centralized Multi-Robot Trajectory Optimization with Flow Matching and Differentiable OptimizationDiffusion models → Diffusion and flow policies for robotics
- LLaMAX2: Your Translation-Enhanced Model also Performs Well in ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Student Development Agent: Risk-free Simulation for Evaluating AIED InnovationsLLM agents and tool use → Educational agents and math problem solving
- Augmenting Dialog with Think-Aloud Utterances for Modeling Individual Personality Traits by LLMLLM reasoning → Reasoning benchmarks and evaluation
- Agentic-KGR: Co-evolutionary Knowledge Graph Construction through Multi-Agent Reinforcement LearningLLM agents and tool use → Web, search, and research agents
All 455
- On the Provable Performance Guarantee of Efficient Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
- MSDM: Generating Task-Specific Pathology Images with a Multimodal Conditioned Diffusion Model for Cell and Nuclei SegmentationDiffusion models → Medical imaging and segmentation
- DITING: A Multi-Agent Evaluation Framework for Benchmarking Web Novel TranslationLLM agents and tool use → General LLM agent frameworks and benchmarks
- When Retrieval Succeeds and Fails: Rethinking Retrieval-Augmented Generation for LLMsLLM reasoning → Knowledge- and tool-augmented reasoning +1
- When a Robot is More Capable than a Human: Learning from Constrained DemonstratorsOffline RL and imitation learning from data → Robot learning from demonstration
- Dense2MoE: Restructuring Diffusion Transformer to MoE for Efficient Text-to-Image GenerationDiffusion models → Diffusion foundations and sampling +1
- Exploiting Web Search Tools of AI Agents for Data ExfiltrationLLM agents and tool use → Agent threats, guardrails and governance +1
- MambaH-Fit: Rethinking Hyper-surface Fitting-based Point Cloud Normal Estimation via State Space ModellingState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- FLToP CTC: Frame-Level Token Pruning via Relative Threshold for Efficient and Memory-Saving Decoding on Diverse PlatformsEfficient LLM inference and serving → KV cache optimization
- ReFIne: A Framework for Trustworthy Large Reasoning Models with Reliability, Faithfulness, and InterpretabilityLLM reasoning → Test-time compute and efficient thinking
- Letting Trajectories Spread: Quality-Preserving Control for Diverse Flow MatchingDiffusion models → Flow matching, time series and science
- Lesion-Aware Post-Training of Latent Diffusion Models for Synthesizing Diffusion MRI from CT PerfusionDiffusion models → Medical imaging and segmentation
- Alif: Advancing Urdu Large Language Models via Multilingual Synthetic Data DistillationSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning ApproachEnd-to-end autonomous driving → Adversarial scenarios and safety testing +1
- Auto-scaling Continuous Memory for GUI AgentLLM agents and tool use → GUI and mobile agents
- RoDyn: Taming Interactive Robot-Dynamic 2.5D World Model for Robotic ManipulationWorld models → Embodied and robot world models
- The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks and Prompt InjectionsLLM safety and security → Jailbreaking
- RefGrader: Automated Grading of Mathematical Competition Proofs using Agentic WorkflowsLLM agents and tool use → Educational agents and math problem solving
- Slim Scheduler: A Runtime-Aware RL and Scheduler System for Efficient CNN InferenceDeep reinforcement learning methods → RL for energy, networks and operations
- DiTSinger: Scaling Singing Voice Synthesis with Diffusion Transformer and Implicit AlignmentDiffusion models → Audio, speech and music
- On Epistemic Uncertainty of Visual Tokens for Object Hallucinations in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- LLM Unlearning on Noisy Forget Sets: A Study of Incomplete, Rewritten, and Watermarked DataLLM safety and security → Machine unlearning
- Decoupling Safety into Orthogonal Subspace: Cost-Efficient and Performance-Preserving Alignment for Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- DARO: Difficulty-Aware Reweighting Policy OptimizationLLM reasoning → Reinforcement learning for reasoning
- Saving SWE-Bench: A Benchmark Mutation Approach for Realistic Agent EvaluationLLM agents and tool use → Software engineering coding agents
- Constraints-of-Thought: A Framework for Constrained Reasoning in Language-Model-Guided SearchLLM reasoning → Test-time compute and efficient thinking
- MASA: LLM-Driven Multi-Agent Systems for AutoformalizationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Towards Efficient Multimodal Unified Reasoning Model via Model MergingLLM reasoning → Multimodal reasoning +1
- Rethinking Reasoning in Document Ranking: Why Chain-of-Thought Falls ShortLLM reasoning → Knowledge- and tool-augmented reasoning
- Breaking the Self-Confirming Loop: Diagnosing and Mitigating Systemic Reward Bias in Self-Rewarding RLLLM reasoning → Reinforcement learning for reasoning +1
- MIRAGE: Runtime Scheduling for Multi-Vector Image Retrieval with Hierarchical DecompositionMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- Unleashing Perception-Time Scaling to Multimodal Reasoning ModelsLLM reasoning → Multimodal reasoning +1
- DualResearch: Entropy-Gated Dual-Graph Retrieval for Answer ReconstructionLLM reasoning → Knowledge- and tool-augmented reasoning
- EcphoryRAG: Re-Imagining Knowledge-Graph RAG via Human Associative MemoryRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- When LLM Agents Meet Graph Optimization: An Automated Data Quality Improvement ApproachLLM agents and tool use → Web, search, and research agents
- FATHOMS-RAG: A Framework for the Assessment of Thinking and Observation in Multimodal Systems that use Retrieval Augmented GenerationLLM reasoning → Knowledge- and tool-augmented reasoning +1
- RO-Bench: Large-scale robustness evaluation of MLLMs with text-driven counterfactual videosMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric RetrievalRetrieval-augmented generation → RAG pipeline design and evaluation
- RADAR: Mechanistic Pathways for Detecting Data Contamination in LLM EvaluationLLM reasoning → Test-time compute and efficient thinking +1
- Mirror Flow Matching with Heavy-Tailed Priors for Generative Modeling on Convex DomainsDiffusion models → Flow matching, time series and science
- LM Fight Arena: Benchmarking Large Multimodal Models via Game CompetitionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Defense against Unauthorized Distillation in Image Restoration via Feature Space PerturbationKnowledge distillation → General knowledge distillation methods
- PHyCLIP: ℓ1-Product of Hyperbolic Factors Unifies Hierarchy and Compositionality in Vision-Language Representation LearningMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Beyond Words: Infusing Conversational Agents with Human-like Typing BehaviorsLLM agents and tool use → Social simulation and multi-agent debate
- Autoencoding-Free Context Compression for LLMs via Contextual Semantic AnchorsEfficient LLM inference and serving → Prompt and context compression
- Pinpointing crucial steps: Attribution-based Credit Assignment for Verifiable Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning +1
- HES-SQL: Hybrid Reasoning for Efficient Text-to-SQL with Structural Skeleton GuidanceLLM reasoning → Knowledge- and tool-augmented reasoning
- Exploring Multi-Temperature Strategies for Token- and Rollout-Level Control in RLVRLLM reasoning → Reinforcement learning for reasoning
- Model-Based Lookahead Reinforcement Learning for in-hand manipulationDeep reinforcement learning methods → RL for robot locomotion and manipulation
- ControlAudio: Tackling Text-Guided, Timing-Indicated and Intelligible Audio Generation via Progressive Diffusion ModelingDiffusion models → Audio, speech and music
- Mozart: A Chiplet Ecosystem-Accelerator Codesign Framework for Composable Bespoke Application Specific Integrated CircuitsEfficient LLM inference and serving → Serving systems and request scheduling
- Use of Retrieval-Augmented Large Language Model Agent for Long-Form COVID-19 Fact-Checking
- Safe Farming: Development of a Prevention System to Mitigate Vertebrates Crop Raiding
- SAJD: Self-Adaptive Jamming Attack Detection in AI/ML Integrated 5G O-RAN Networks
- iEEG Seizure Detection with a Sparse Hyperdimensional Computing Accelerator
- Constructive Lyapunov Functions via Topology-Preserving Neural Networks
- A Quantum-Inspired Algorithm for Solving Sudoku Puzzles and the MaxCut Problem
- CARLE: A Hybrid Deep-Shallow Learning Framework for Robust and Explainable RUL Estimation of Rolling Element Bearings
- MAT-Agent: Adaptive Multi-Agent Training Optimization
- GRETEL: A Goal-driven Retrieval and Execution-based Trial Framework for LLM Tool Selection Enhancing
- Fire-EnSF: Wildfire Spread Data Assimilation using Ensemble Score Filter
- Executable Epistemology: The Structured Cognitive Loop as an Architecture of Intentional Understanding
- Attention to Non-Adopters
- Cross-dataset Multivariate Time-series Model for Parkinson's Diagnosis via Keyboard Dynamics
- WaveNet's Precision in EEG Classification
- Fall into a Pit, Gain in a Wit: Cognitive-Guided Harmful Meme Detection via Misjudgment Risk Pattern Retrieval
- PC-UNet: An Enforcing Poisson Statistics U-Net for Positron Emission Tomography Denoising
- SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models
- ConDABench: Interactive Evaluation of Language Models for Data Analysis
- Entropy Meets Importance: A Unified Head Importance-Entropy Score for Stable and Efficient Transformer Pruning
- Informed Routing in LLMs: Smarter Token-Level Computation for Faster Inference
- From Explainability to Action: A Generative Operational Framework for Integrating XAI in Clinical Mental Health Screening
- Rebalancing with Calibrated Sub-classes (RCS): A Statistical Fusion-based Framework for Robust Imbalanced Classification across Modalities
- Classifier-Augmented Generation for Structured Workflow Prediction
- Evidence Without Injustice: A New Counterfactual Test for Fair Algorithms
- Celebrity Profiling on Short Urdu Text using Twitter Followers' Feed
- SeeingSounds: Learning Audio-to-Visual Alignment via Text
- Scaling Law in LLM Simulated Personality: More Detailed and Realistic Persona Profile Is All You Need
- Serial-Parallel Dual-Path Architecture for Speaking Style Recognition
- Phase-Aware Deep Learning with Complex-Valued CNNs for Audio Signal Applications
- AutoGD: Automatic Learning Rate Selection for Gradient Descent
- Advancing Intoxication Detection: A Smartwatch-Based Approach
- Enhancing Faithfulness in Abstractive Summarization via Span-Level Fine-Tuning
- Augmenting generative models with biomedical knowledge graphs improves targeted drug discovery
- SpectralCA: Bi-Directional Cross-Attention for Next-Generation UAV Hyperspectral Vision
- Learning with Incomplete Context: Linear Contextual Bandits with Pretrained Imputation
- Stability of Transformers under Layer Normalization
- An uncertainty-aware framework for data-efficient multi-view animal pose estimation
- If you can distinguish, you can express: Galois theory, Stone--Weierstrass, machine learning, and linguistics
- Learning Bug Context for PyTorch-to-JAX Translation with LLMs
- Chain-of-Influence: Tracing Interdependencies Across Time and Features in Clinical Predictive Modelings
- Beyond AlphaEarth: Toward Human-Centered Geospatial Foundation Models via POI-Guided Contrastive Learning
- HIPPD: Brain-Inspired Hierarchical Information Processing for Personality Detection
- Probabilistic bias adjustment of seasonal predictions of Arctic Sea Ice Concentration
- Understanding Robust Machine Learning for Nonparametric Regression with Heavy-Tailed Noise
- Diffusion-Inspired Masked Fine-Tuning for Knowledge Injection in Autoregressive LLMs
- TAWRMAC: A Novel Dynamic Graph Representation Learning Method
- iBERT: Interpretable Embeddings via Sense Decomposition
- LTGS: Long-Term Gaussian Scene Chronology From Sparse View Updates
- Geometry-Aware Scene Configurations for Novel View Synthesis
- CHUG: Crowdsourced User-Generated HDR Video Quality Dataset
- Fast Self-Supervised depth and mask aware Association for Multi-Object Tracking
- Batch Bayesian Active Learning with Partial Batch Label Sampling
- ROBOPSY PL[AI]: Using Role-Play to Investigate how LLMs Present Collective Memory
- NarraBench: A Comprehensive Framework for Narrative Benchmarking
- Pricing Access to Dynamic Information Services
- AI and Consciousness
- MTMD: A Multi-Task Multi-Domain Framework for Unified Ad Lightweight Ranking at Pinterest
- NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering
- ProxRouter: Proximity-Weighted LLM Query Routing for Improved Robustness to Outliers
- Cell Instance Segmentation: The Devil Is in the Boundaries
- CALM: A Causal Analysis Language Model for Tabular Data in Complex Systems with Local Scores, Conditional Independence Tests, and Relation Attributes
- Harnessing Self-Supervised Deep Learning and Geostationary Remote Sensing for Advancing Wildfire and Associated Air Quality Monitoring: Improved Smoke and Fire Front Masking using GOES and TEMPO Radiance Data
- Exploration of Incremental Synthetic Non-Morphed Images for Single Morphing Attack Detection
- Post Processing of image segmentation using Conditional Random Fields
- An Exploration of Non-Euclidean Gradient Descent: Muon and its Many Variants
- Decomposer Networks: Deep Component Analysis and Synthesis
- Task-Aware Resolution Optimization for Visual Large Language Models
- Cross-Sensor Touch Generation
- A mathematical theory for understanding when abstract representations emerge in neural networks
- Towards Understanding Ambiguity Resolution in Multimodal Inference of Meaning
- Temporal Lifting as Latent-Space Regularization for Continuous-Time Flow Models in AI Systems
- Distributed clustering in partially overlapping feature spaces
- A Unified Framework for Lifted Training and Inversion Approaches
- Principled Operator Learning in Ocean Dynamics: The Role of Temporal Structure
- Mapping Semantic & Syntactic Relationships with Geometric Rotation
- Combined Representation and Generation with Diffusive State Predictive Information Bottleneck
- Large Language Models for Imbalanced Classification: Diversity makes the difference
- SVTime: Small Time Series Forecasting Models Informed by "Physics" of Large Vision Model Forecasters
- Why Do Transformers Fail to Forecast Time Series In-Context?
- A Generic Machine Learning Framework for Radio Frequency Fingerprinting
- PromptGuard at BLP-2025 Task 1: A Few-Shot Classification Framework Using Majority Voting and Keyword Similarity for Bengali Hate Speech Detection
- Scaling Laws and Symmetry, Evidence from Neural Force Fields
- HeSRN: Representation Learning On Heterogeneous Graphs via Slot-Aware Retentive Network
- Prototype-based Self-Supervised Multimodal Learning for PPG and Accelerometry Signals
- Patentformer: A demonstration of AI-assisted automated patent drafting
- Reliable Active Learning from Unreliable Labels via Neural Collapse Geometry
- Machine learning methods fail to provide cohesive atheoretical construction of personality traits from semantic embeddings
- Judge's Verdict: A Comprehensive Analysis of LLM Judge Capability Through Human Agreement
- Chlorophyll-a Mapping and Prediction in the Mar Menor Lagoon Using C2RCC-Processed Sentinel 2 Imagery
- InterCorpRel-LLM: Enhancing Financial Relational Understanding with Graph-Language Models
- ARROW: An Adaptive Rollout and Routing Method for Global Weather Forecasting
- Evaluating LLM-Based Process Explanations under Progressive Behavioral-Input Reduction
- Multi Camera Connected Vision System with Multi View Analytics: A Comprehensive Survey
- Adaptive Fusion Network with Temporal-Ranked and Motion-Intensity Dynamic Images for Micro-expression Recognition
- Herb.jl: A Unifying Program Synthesis Library
- InteractScience: Programmatic and Visually-Grounded Evaluation of Interactive Scientific Demonstration Code Generation
- It's 2025 -- Narrative Learning is the new baseline to beat for explainable machine learning
- Layout-Aware Parsing Meets Efficient LLMs: A Unified, Scalable Framework for Resume Information Extraction and Evaluation
- ICL-Router: In-Context Learned Model Representations for LLM Routing
- Federated k-Means over Networks
- Provable Training Data Identification for Large Language Models
- CogniDir: Combating Cognitive Malicious Comments via Adaptive Distributional Learning for Robust Fake News Detection
- ReaLM: Residual Quantization Bridging Knowledge Graph Embeddings and Large Language Models
- The Idola Tribus of AI: Large Language Models tend to perceive order where none exists
- A Demonstration of Self-Adaptive Jamming Attack Detection in AI/ML Integrated O-RAN
- BaNEL: Exploration Posteriors for Generative Modeling Using Only Negative Rewards
- LiveOIBench: Can Large Language Models Outperform Human Contestants in Informatics Olympiads?
- MODE: Learning compositional representations of complex systems with Mixtures Of Dynamical Experts
- STaTS: Structure-Aware Temporal Sequence Summarization via Statistical Window Merging
- FSP-DETR: Few-Shot Prototypical Parasitic Ova Detection
- GraphMERT: Efficient and Scalable Distillation of Reliable Knowledge Graphs from Unstructured Data
- Three Birds with One Stone: Improving Performance, Convergence, and System Throughput with Nest
- Automated Evolutionary Optimization for Resource-Efficient Neural Network Training
- AutoPR: Let's Automate Your Academic Promotion!
- WUGNECTIVES: Novel Entity Inferences of Language Models from Discourse Connectives
- Hierarchical Indexing with Knowledge Enrichment for Multilingual Video Corpus Retrieval
- Titans Revisited: A Lightweight Reimplementation and Critical Analysis of a Test-Time Memory Model
- FLOWING: Implicit Neural Flows for Structure-Preserving Morphing
- Evaluating Robustness of Large Language Models Against Multilingual Typographical Errors
- PRNet: Original Information Is All You Have
- Accent-Invariant Automatic Speech Recognition via Saliency-Driven Spectrogram Masking
- Can We Reliably Rank Model Performance across Domains without Labeled Data?
- Interpretable Generative and Discriminative Learning for Multimodal and Incomplete Clinical Data
- Diagonal Artifacts in Samsung Images: PRNU Challenges and Solutions
- PhysToolBench: Benchmarking Physical Tool Understanding for MLLMs
- Geo-Aware Models for Stream Temperature Prediction across Different Spatial Regions and Scales
- A methodology for clinically driven interactive segmentation evaluation
- Unsupervised full-field Bayesian inference of orthotropic hyperelasticity from a single biaxial test: a myocardial case study
- Precoder Design in Multi-User FDD Systems with VQ-VAE and GNN
- Performance Analysis of Machine Learning Algorithms in Chronic Kidney Disease Prediction
- Locally Optimal Private Sampling: Beyond the Global Minimax
- CRPS-LAM: Probabilistic Regional Weather Forecasting with Continuous Ranked Probability Score
- Efficient Autoregressive Inference for Transformer Probabilistic Models
- Few-shot multi-token DreamBooth with LoRa for style-consistent character generation
- Towards Information-Optimized Multi-Agent Path Finding: A Hybrid Framework with Reduced Inter-Agent Information Sharing
- Geodesic Calculus on Implicitly Defined Latent Manifolds
- Interpretable Machine Learning for Predicting Startup Funding, Patenting, and Exits
- SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests
- On Uniformly Scaling Flows: A Density-Aligned Approach to Deep One-Class Classification
- Dynamic Weight-based Temporal Aggregation for Low-light Video Enhancement Under Extreme Noise
- Mono4DEditor: Text-Driven 4D Scene Editing from Monocular Video via Point-Level Localization of Language-Embedded Gaussians
- Cross-attention Secretly Performs Orthogonal Alignment in Recommendation Models
- Domain-Adapted Pre-trained Language Models for Implicit Information Extraction in Crash Narratives
- Bandits with Single-Peaked Preferences and Limited Resources
- The Speech-LLM Takes It All: A Truly Fully End-to-End Spoken Dialogue State Tracking Approach
- Weight Initialization and Variance Dynamics in Deep Neural Networks and Large Language Models
- On the Representations of Entities in Auto-regressive Large Language Models
- Large Language Model Selection with Limited Annotations
- What Do Temporal Graph Learning Models Learn?
- Estimating Brain Activity with High Spatial and Temporal Resolution using a Naturalistic MEG-fMRI Encoding Model
- A Multimodal Approach to SME Credit Scoring Integrating Transaction and Ownership Networks
- Cross-Receiver Generalization for RF Fingerprint Identification via Feature Disentanglement and Adversarial Training
- ChoirRec: Semantic User Grouping via LLMs for Conversion Rate Prediction of Low-Activity Users
- Identifying & Interactively Refining Ambiguous User Goals for Data Visualization Code Generation
- Design Principles for Sequence Models via Coefficient Dynamics
- CHUCKLE -- When Humans Teach AI To Learn Emotions The Easy Way
- Utilizing dynamic sparsity on pretrained DETR
- Eigenvalues as a Metric for Memory Dynamics in Sequence Models
- The Potential of Second-Order Optimization for LLMs: A Study with Full Gauss-Newton
- Sequence Variables: A Constraint Programming Computational Domain for Routing and Sequencing
- A Biophysically-Conditioned Generative Framework for 3D Brain Tumor MRI Synthesis
- VAD-GS: Visibility-Aware Densification for 3D Gaussian Splatting in Dynamic Urban Scenes
- deep-REMAP: Probabilistic Parameterization of Stellar Spectra Using Regularized Multi-Task Learning
- Understanding the Effects of Domain Finetuning on LLMs
- NL2GenSym: Natural Language to Generative Symbolic Rules for SOAR Cognitive Architecture via Large Language Models
- Deep Learning to Identify the Spatio-Temporal Cascading Effects of Train Delays in a High-Density Network
- LLP: LLM-Based Product Pricing in E-commerce
- Enhancing Infrared Vision: Progressive Prompt Fusion Network and Benchmark
- Localist LLMs -- A Mathematical Framework for Dynamic Locality Control
- Instance-Aware Robust Consistency Regularization for Semi-Supervised Nuclei Instance Segmentation
- Randomized HyperSteiner: A Stochastic Delaunay Triangulation Heuristic for the Hyperbolic Steiner Minimal Tree
- Hybrid-grained Feature Aggregation with Coarse-to-fine Language Guidance for Self-supervised Monocular Depth Estimation
- Residual-Informed Learning of Solutions to Algebraic Loops
- A Survey of LLM Prompt Datasets: Taxonomy, Linguistic Patterns, and Practical Uses
- Reliability Sensitivity with Response Gradient
- A Model-Driven Engineering Approach to AI-Powered Healthcare Platforms
- Target speaker anonymization in multi-speaker recordings
- Rewiring Development in Brain Segmentation: Leveraging Adult Brain Priors for Enhancing Infant MRI Segmentation
- Foraging with the Eyes: Dynamics in Human Visual Gaze and Deep Predictive Modeling
- ShiZhi: A Chinese Lightweight Large Language Model for Court View Generation
- MaP: A Unified Framework for Reliable Evaluation of Pre-training Dynamics
- Mitigating Model Drift in Developing Economies Using Synthetic Data and Outliers
- One Sentence, Two Embeddings: Contrastive Learning of Explicit and Implicit Semantic Representations
- A unifying Bayesian framework for adversarial robustness
- Placeit! A Framework for Learning Robot Object Placement Skills
- SynthID-Image: Image watermarking at internet scale
- Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models
- Smart navigation of a gravity-driven glider with adjustable centre-of-mass
- A PCA-based Data Prediction Method
- CrisiText: A dataset of warning messages for LLM training in emergency communication
- Investigating the Impact of Rational Dilated Wavelet Transform on Motor Imagery EEG Decoding with Deep Learning Models
- Incentivizing Time-Aware Fairness in Data Sharing
- Characterizing 5G User Throughput via Uncertainty Modeling and Crowdsourced Measurements
- Diagnosing Shoulder Disorders Using Multimodal Large Language Models and Consumer-Grade Cameras
- Clear Roads, Clear Vision: Advancements in Multi-Weather Restoration for Smart Transportation
- Prime Implicant Explanations for Reaction Feasibility Prediction
- Unsupervised lexicon learning from speech is limited by representations rather than clustering
- Tag-Enriched Multi-Attention with Large Language Models for Cross-Domain Sequential Recommendation
- Comparing Knowledge Source Integration Methods for Optimizing Healthcare Knowledge Fusion in Rescue Operation
- IRIS: An Iterative and Integrated Framework for Verifiable Causal Discovery in the Absence of Tabular Data
- Provable Watermarking for Data Poisoning Attacks
- 3D Reconstruction from Transient Measurements with Time-Resolved Transformer
- Cattle-CLIP: A Multimodal Framework for Cattle Behaviour Recognition from Video
- Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs
- Towards Safer and Understandable Driver Intention Prediction
- Augmented data and neural networks for robust epidemic forecasting: application to COVID-19 in Italy
- Modern Deep Learning Approaches for Cricket Shot Classification: A Comprehensive Baseline Study
- Stronger Re-identification Attacks through Reasoning and Aggregation
- Online Video Depth Anything: Temporally-Consistent Depth Prediction with Low Memory Consumption
- On the Implicit Adversariality of Catastrophic Forgetting in Deep Continual Learning
- RepDL: Bit-level Reproducible Deep Learning Training and Inference
- Distributionally robust approximation property of neural networks
- Beyond Pairwise Connections: Extracting High-Order Functional Brain Network Structures under Global Constraints
- Robustness and Regularization in Hierarchical Re-Basin
- Beyond Flat Unknown Labels in Open-World Object Detection
- Instance-Level Generation for Representation Learning
- Dr. Bias: Social Disparities in AI-Powered Medical Guidance
- Efficient Resource-Constrained Training of Transformers via Subspace Optimization
- Cross-Representation Benchmarking in Time-Series Electronic Health Records for Clinical Outcome Prediction
- Federated Data Analytics for Cancer Immunotherapy: A Privacy-Preserving Collaborative Platform for Patient Management
- Logits Replay + MoClip: Stabilized, Low-Cost Post-Training with Minimal Forgetting
- Score-Based Density Estimation from Pairwise Comparisons
- Online Topological Localization for Navigation Assistance in Bronchoscopy
- Controlled Personalization in Legacy Media Online Services: A Case Study in News Recommendation
- Training Feature Attribution for Vision Models
- Regret Bounds for Adversarial Contextual Bandits with General Function Approximation and Delayed Feedback
- Polar Separable Transform for Efficient Orthogonal Rotation-Invariant Image Representation
- On the Fairness of Privacy Protection: Measuring and Mitigating the Disparity of Group Privacy Risks for Differentially Private Machine Learning
- Synthetic Object Compositions for Scalable and Accurate Learning in Detection, Segmentation, and Grounding
- A Novel Multi-branch ConvNeXt Architecture for Identifying Subtle Pathological Features in CT Scans
- MemLoss: Enhancing Adversarial Training with Recycling Adversarial Examples
- AdaPM: a Partial Momentum Algorithm for LLM Training
- FrameEOL: Semantic Frame Induction using Causal Language Models
- Neural Codecs as Biosignal Tokenizers
- GL-DT: Multi-UAV Detection and Tracking with Global-Local Integration
- AI and Human Oversight: A Risk-Based Framework for Alignment
- The Stackelberg Speaker: Optimizing Persuasive Communication in Social Deduction Games
- Physics-Informed High-order Graph Dynamics Identification Learning for Predicting Complex Networks Long-term Dynamics
- Training Models to Detect Successive Robot Errors from Human Reactions
- Improving Anomaly Detection in Industrial Time Series: The Role of Segmentation and Heterogeneous Ensemble
- MCMC: Bridging Rendering, Optimization and Generative AI
- Emotion-Disentangled Embedding Alignment for Noise-Robust and Cross-Corpus Speech Emotion Recognition
- Visual Anomaly Detection for Reliable Robotic Implantation of Flexible Microelectrode Array
- MMAudioSep: Taming Video-to-Audio Generative Model Towards Video/Text-Queried Sound Separation
- MEC3O: Multi-Expert Consensus for Code Time Complexity Prediction
- Spatio-Temporal Graph Convolutional Networks for EV Charging Demand Forecasting Using Real-World Multi-Modal Data Integration
- LLM Based Long Code Translation using Identifier Replacement
- Humanoid Artificial Consciousness Designed with Large Language Model Based on Psychoanalysis and Personality Theory
- MAKO: Meta-Adaptive Koopman Operators for Learning-based Model Predictive Control of Parametrically Uncertain Nonlinear Systems
- Repairing Regex Vulnerabilities via Localization-Guided Instructions
- Exploring Single Domain Generalization of LiDAR-based Semantic Segmentation under Imperfect Labels
- Convergence of optimizers implies eigenvalues filtering at equilibrium
- Do LLMs Really Know What They Don't Know? Internal States Mainly Reflect Knowledge Recall Rather Than Truthfulness
- Exploring Cross-Lingual Knowledge Transfer via Transliteration-Based MLM Fine-Tuning for Critically Low-resource Chakma Language
- Automated Refinement of Essay Scoring Rubrics for Language Models via Reflect-and-Revise
- D'er'everb'eration non-supervis'ee de la parole par mod`ele hybride
- The Environmental Impacts of Language Model Training Keep Rising Now is the Time to Catch Impacts on the Rebound
- MagicDock: Toward Docking-oriented De Novo Ligand Design via Gradient Inversion
- Value-State Gated Attention for Mitigating Extreme-Token Phenomena in Transformers
- LitE-SQL: A Lightweight and Efficient Text-to-SQL Framework with Vector-based Schema Linking and Execution-Guided Self-Correction
- Towards Better & Faster Autoregressive Image Generation: From the Perspective of Entropy
- TripScore: Aligning LLMs for Real-World Travel Planning via Expert-Calibrated Reward
- SQS: Bayesian DNN Compression through Sparse Quantized Sub-distributions
- Speculative Jacobi-Denoising Decoding for Accelerating Autoregressive Text-to-image Generation
- PlatformX: An End-to-End Transferable Platform for Energy-Efficient Neural Architecture Search
- CAPC-CG: A Large-Scale, Expert-Directed LLM-Annotated Corpus of Adaptive Policy Communication in China
- FedL2T: Personalized Federated Learning with Two-Teacher Distillation for Seizure Prediction
- SEER: Sustainability Enhanced Engineering of Software Requirements
- Uncolorable Examples: Preventing Unauthorized AI Colorization via Perception-Aware Chroma-Restrictive Perturbation
- HandEval: Taking the First Step Towards Hand Quality Evaluation in Generated Images
- mmJoints: Expanding Joint Representations Beyond (x,y,z) in mmWave-Based 3D Pose Estimation
- Learning Regularizers: Learning Optimizers that can Regularize
- SAM2-3dMed: Empowering SAM2 for 3D Medical Image Segmentation
- Beyond Prefixes: Graph-as-Memory Cross-Attention for Knowledge Graph Completion with Large Language Models
- HiBBO: HiPPO-based Space Consistency for High-dimensional Bayesian Optimisation
- Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation
- A Human Behavioral Baseline for Collective Governance in Software Projects
- Denoised Diffusion for Object-Focused Image Augmentation
- FS-RWKV: Leveraging Frequency Spatial-Aware RWKV for 3T-to-7T MRI Translation
- Progressive Uncertainty-Guided Evidential U-KAN for Trustworthy Medical Image Segmentation
- SHERLOCK: Towards Dynamic Knowledge Adaptation in LLM-enhanced E-commerce Risk Management
- Physically Valid Biomolecular Interaction Modeling with Gauss-Seidel Projection
- Variability Aware Recursive Neural Network (VARNN): A Residual-Memory Model for Capturing Temporal Deviation in Sequence Regression Modeling
- SOP-Maze: Evaluating Large Language Models on Complicated Business Standard Operating Procedures
- Bi-level Meta-Policy Control for Dynamic Uncertainty Calibration in Evidential Deep Learning
- MATT-CTR: Unleashing a Model-Agnostic Test-Time Paradigm for CTR Prediction with Confidence-Guided Inference Paths
- Co-Authoring the Self: A Human-AI Interface for Interest Reflection in Recommenders
- AB-PINNs: Adaptive-Basis Physics-Informed Neural Networks for Residual-Driven Domain Decomposition
- SegTrans: Transferable Adversarial Examples for Segmentation Models
- Simple and Robust Forecasting of Spatiotemporally Correlated Small Earth Data with A Tabular Foundation Model
- A Representer Theorem for Hawkes Processes via Penalized Least Squares Minimization
- Artificial Impressions: Evaluating Large Language Model Behavior Through the Lens of Trait Impressions
- Velocity and Density-Aware RRI Analysis and Optimization for AoI Minimization in IoV SPS
- A Frequency-Domain Analysis of the Multi-Armed Bandit Problem: A New Perspective on the Exploration-Exploitation Trade-off
- Gradient-Guided Furthest Point Sampling for Robust Training Set Selection
- A Unified Biomedical Named Entity Recognition Framework with Large Language Models
- Modeling Time-Lapse Trajectories to Characterize Cranberry Growth
- Designing and Evaluating an AI-enhanced Immersive Multidisciplinary Simulation (AIMS) for Interprofessional Education
- FinAuditing: A Financial Taxonomy-Structured Multi-Document Benchmark for Evaluating LLMs
- An Improved Model-Free Decision-Estimation Coefficient with Applications in Adversarial MDPs
- Vector Graph-Based Repository Understanding for Issue-Driven File Retrieval
- Slicing Is All You Need: Towards A Universal One-Sided Algorithm for Distributed Matrix Multiplication
- GTAlign: Game-Theoretic Alignment of LLM Assistants for Social Welfare
- Quality Estimation Reranking for Document-Level Translation