Papers
Thu 7 Aug 2025
395 papers
- ARL-Based Multi-Action Market Making with Hawkes Processes and Variable VolatilityDeep reinforcement learning methods → Adversarial robustness and RL in finance
- FinAgentBench: A Benchmark Dataset for Agentic Retrieval in Financial Question AnsweringLLM agents and tool use → Financial trading and forecasting agents
- A Survey on Video Temporal Grounding with Multimodal Large Language ModelMultimodal LLMs / vision-language models → Video understanding with MLLMs
- RTTC: Reward-Guided Collaborative Test-Time ComputeLLM reasoning → Test-time compute and efficient thinking +2
- FedCoT: Communication-Efficient Federated Reasoning Enhancement for Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- Decoupling Understanding from Reasoning via Problem Space Mapping for Small-Scale Model ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Synthetic Data Generation for Emotional Depth Faces: Optimizing Conditional DCGANs via Genetic Algorithms in the Latent Space and Stabilizing Training with Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- HiSTM: Hierarchical Spatiotemporal Mamba for Cellular Traffic ForecastingState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- Quantum-Efficient Reinforcement Learning Solutions for Last-Mile On-Demand DeliveryDeep reinforcement learning methods → Quantum reinforcement learning
- HiFi-Mamba: Dual-Stream W-Laplacian Enhanced Mamba for High-Fidelity MRI ReconstructionState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- IAD-R1: Reinforcing Consistent Reasoning in Industrial Anomaly DetectionLLM reasoning → Chain-of-thought reasoning for driving
- IRL-VLA: Training an Vision-Language-Action Policy via Reward World ModelWorld models → Embodied and robot world models +2
- Operationalizing Serendipity: Multi-Agent AI Workflows for Enhanced Materials Characterization with Theory-in-the-LoopLLM agents and tool use → Medical and scientific domain agents
- ETTA: Efficient Test-Time Adaptation for Vision-Language Models through Dynamic Embedding UpdatesMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Large language models show fragile cognitive reasoning about human emotionsLLM reasoning → Audio-language model reasoning
- A Markov Decision Process Framework for Early Maneuver Decisions in Satellite Collision AvoidanceDeep reinforcement learning methods → RL for robot navigation and UAV control
- Interpretable Modeling of Driver Attention Shifts with a Vision-Language ModelMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object InteractionDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Guardians and Offenders: A Survey on Harmful Content Generation and Safety Mitigation of LLMLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- MAISI-v2: Accelerated 3D High-Resolution Medical Image Synthesis with Rectified Flow and Region-specific Contrastive LossDiffusion models → Medical imaging and segmentation
- UnGuide: Learning to Forget with LoRA-Guided Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- WebWatcher: Breaking New Frontier of Vision-Language Deep Research AgentLLM agents and tool use → Multimodal and embodied agents
- InfiGUI-G1: Advancing GUI Grounding with Adaptive Exploration Policy OptimizationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- CLAPP: The CLASS LLM Agent for Pair ProgrammingLLM agents and tool use → Web, search, and research agents
- Klear-CodeTest: Scalable Test Case Generation for Code Reinforcement LearningLLM reasoning → Reasoning for agents, planning and code
- Grid-Agent: An LLM-Powered Multi-Agent System for Power Grid ControlLLM agents and tool use → Financial trading and forecasting agents
- Genie Envisioner: A Unified World Foundation Platform for Robotic ManipulationDiffusion models → Diffusion and flow policies for robotics
- Towards Generalizable Safety in Crowd Navigation via Conformal Uncertainty HandlingDeep reinforcement learning methods → RL for robot navigation and UAV control
- On the Generalization of SFT: A Reinforcement Learning Perspective with Reward RectificationLLM reasoning → Reinforcement learning for reasoning
- How Do LLMs Persuade? Linear Probes Can Uncover Persuasion Dynamics in Multi-Turn ConversationsMechanistic interpretability → Probing deception, bias and beliefs
- Simulating Human-Like Learning Dynamics with LLM-Empowered AgentsLLM agents and tool use → Educational agents and math problem solving
- The Missing Reward: Active Inference in the Era of ExperienceLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Learning to Reason for FactualityLLM reasoning → Hallucination detection and mitigation
- Test-Time Reinforcement Learning for GUI Grounding via Region ConsistencyLLM reasoning → Multimodal reasoning +1
- GroundAct: Can LLM Agents Ground Actions in Environmental States?LLM agents and tool use → General LLM agent frameworks and benchmarks
- Cooper: Co-Optimizing Policy and Reward Models in Reinforcement Learning for Large Language ModelsLLM reasoning → Reinforcement learning for reasoning +1
- Shuffle-R1: Efficient RL framework for Multimodal Large Language Models via Data-centric Dynamic ShuffleLLM reasoning → Multimodal reasoning +1
- Uni-cot: Towards Unified Chain-of-Thought Reasoning Across Text and VisionLLM reasoning → Multimodal reasoning
- LLaVA-RE: Binary Image-Text Relevancy Evaluation with Multimodal Large Language ModelMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- MathSmith: Towards Extremely Hard Mathematical Reasoning by Forging Synthetic Problems with a Reinforced PolicyLLM reasoning → Mathematical reasoning
- Follow-Your-Instruction: A Comprehensive MLLM Agent for World Data SynthesisMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +2
- MV-Debate: Multi-view Agent Debate with Dynamic Reflection Gating for Multimodal Harmful Content Detection in Social MediaLLM safety and security → Safety alignment, refusal and guardrails
- Do Political Opinions Transfer Between Western Languages? An Analysis of Unaligned and Aligned Multilingual LLMsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Adapting Vision-Language Models Without Labels: A Comprehensive SurveyMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- AI vs. Human Moderators: A Comparative Evaluation of Multimodal LLMs in Content Moderation for Brand SafetyMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- RankArena: A Unified Platform for Evaluating Retrieval, Reranking and RAG with Human and LLM FeedbackRetrieval-augmented generation → Generation and context integration
- Auto-Eval Judge: Towards a General Agentic Framework for Task Completion EvaluationLLM agents and tool use → General LLM agent frameworks and benchmarks
- MagicHOI: Leveraging 3D Priors for Accurate Hand-object Reconstruction from Short Monocular Video ClipsDiffusion models → Diffusion and flow policies for robotics
- AutoIAD: Manager-Driven Multi-Agent Collaboration for Automated Industrial Anomaly DetectionLLM agents and tool use → Software engineering coding agents
- MELLA: Bridging Linguistic Capability and Cultural Groundedness for Low-Resource Language MLLMsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- GRAIL:Learning to Interact with Large Knowledge Graphs for Retrieval Augmented ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +1
- InfiAlign: A Scalable and Sample-Efficient Framework for Aligning LLMs to Enhance Reasoning CapabilitiesLLM reasoning → Test-time compute and efficient thinking +1
- MM2CT: MR-to-CT translation for multi-modal image fusion with mambaState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Time-reversed Flow Matching with Worst Transport in High-dimensional Latent Space for Image Anomaly DetectionDiffusion models → Flow matching, time series and science
- Multimodal LLM-assisted Evolutionary Search for Programmatic Control PoliciesMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf InteractionsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- LLM-based Multi-Agent Copilot for Quantum SensorLLM agents and tool use → Medical and scientific domain agents
- From Detection to Correction: Backdoor-Resilient Face Recognition via Vision-Language Trigger Detection and Noise-Based NeutralizationLLM safety and security → Backdoor and data poisoning attacks
- DeepPHY: Benchmarking Agentic VLMs on Physical ReasoningLLM reasoning → Spatial and embodied reasoning +2
- DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning ModelEnd-to-end autonomous driving → End-to-end system architecture
- UNCAGE: Contrastive Attention Guidance for Masked Generative Transformers in Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
- Real-Time Iteration Scheme for Diffusion PolicyDiffusion models → Diffusion and flow policies for robotics
- StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward ModelsLLM reasoning → Multimodal reasoning +2
- Can Language Models Critique Themselves? Investigating Self-Feedback for Retrieval Augmented Generation at BioASQ 2025Retrieval-augmented generation → Agentic RAG, agents and memory +1
- Information-Theoretic Graph Fusion with Vision-Language-Action Model for Policy Reasoning and Dual Robotic ControlLLM reasoning → Spatial and embodied reasoning +1
- The Term 'Agent' Has Been Diluted Beyond Utility and Requires RedefinitionLLM agents and tool use → General LLM agent frameworks and benchmarks
- Efficient Reasoning for Large Reasoning Language Models via Certainty-Guided Reflection SuppressionLLM reasoning → Test-time compute and efficient thinking
- Textual Inversion for Efficient Adaptation of Open-Vocabulary Object Detectors Without ForgettingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- mKG-RAG: Leveraging Multimodal Knowledge Graphs in Retrieval-Augmented Generation for Knowledge-intensive VQAMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- A Novel Architecture for Symbolic Reasoning with Decision Trees and LLM AgentsLLM reasoning → Reasoning benchmarks and evaluation +1
- ASkDAgger: Active Skill-level Data Aggregation for Interactive Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
- Estimating Musical Surprisal from Audio in Autoregressive Diffusion Model Noise SpacesDiffusion models → Audio, speech and music
- SONAR-LLM: Autoregressive Transformer that Thinks in Sentence Embeddings and Speaks in TokensLLM reasoning → Diffusion reasoning and test-time scaling
- Towards Embodied Agentic AI: Review and Classification of LLM- and VLM-Driven Robot Autonomy and InteractionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- RLHF Fine-Tuning of LLMs for Alignment with Implicit User Feedback in Conversational RecommendersLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM ReasoningLLM reasoning → Test-time compute and efficient thinking
- SGDFuse: SAM-Guided Diffusion Model for High-Fidelity Infrared and Visible Image FusionDiffusion models → Image generation, text-to-image and editing
- MoBE: Mixture-of-Basis-Experts for Compressing MoE-based LLMsMixture-of-experts → MoE large language models
- Navigating the Trade-off: A Synthesis of Defensive Strategies for Zero-Shot Adversarial Robustness in Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- ArbiViewGen: Controllable Arbitrary Viewpoint Camera Data Generation for Autonomous Driving via Stable Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
- Resource-Limited Joint Multimodal Sentiment Reasoning and Classification via Chain-of-Thought Enhancement and DistillationLLM reasoning → Audio-language model reasoning
- ReasoningTrack: Chain-of-Thought Reasoning for Long-term Vision-Language TrackingLLM reasoning → Multimodal reasoning
- VFlowOpt: A Token Pruning Framework for LMMs with Visual Information Flow-Guided OptimizationMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- SPEX: A Vision-Language Model for Land Cover Extraction on Spectral Remote Sensing ImagesMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- QA-Dragon: Query-Aware Dynamic RAG System for Knowledge-Intensive Visual Question AnsweringMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- STEPWISE-CODEX-Bench: Evaluating Complex Multi-Function Comprehension and Fine-Grained Execution ReasoningLLM reasoning → Reasoning for agents, planning and code
- Learning to See and Act: Task-Aware Virtual View Exploration for Robotic ManipulationVision-language-action models → 3D and spatial-aware VLA
- ReCode: Reinforcing Code Generation with Reasoning-Process RewardsLLM reasoning → Reinforcement learning for reasoning +1
- PhysPatch: A Physically Realizable and Transferable Adversarial Patch Attack for Multimodal Large Language Models-based Autonomous Driving SystemsLLM reasoning → Chain-of-thought reasoning for driving +2
- Aligning LLMs on a Budget: Inference-Time Alignment with Heuristic Reward ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Domain-driven Metrics for Reinforcement Learning: A Case Study on Epidemic Control using Agent-based SimulationDeep reinforcement learning methods → RL for clinical treatment and surgery
- PrinciplismQA: A Philosophy-Grounded Approach to Assessing LLM-Human Clinical Medical Ethics AlignmentLLM reasoning → Clinical and biomedical applications
- Navigating Through Paper Flood: Advancing LLM-based Paper Evaluation through Domain-Aware Retrieval and Latent ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- Reasoning through Exploration: A Reinforcement Learning Framework for Robust Function CallingLLM reasoning → Reinforcement learning for reasoning +1
- Beyond Automation: Socratic AI, Epistemic Agency, and the Implications of the Emergence of Orchestrated Multi-Agent Learning ArchitecturesLLM agents and tool use → Educational agents and math problem solving
- RAP: Real-time Audio-driven Portrait Animation with Video Diffusion TransformerDiffusion models → Audio, speech and music
- BEE-RAG: Balanced Entropy Engineering for Retrieval-Augmented GenerationRetrieval-augmented generation → Generation and context integration
- JPS: Jailbreak Multimodal Large Language Models with Collaborative Visual Perturbation and Textual SteeringMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- MedMKEB: A Comprehensive Knowledge Editing Benchmark for Medical Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- Cognitive Duality for Adaptive Web AgentsLLM agents and tool use → Web, search, and research agents
All 395
- Analyzing the Impact of Multimodal Perception on Sample Complexity and Optimization Landscapes in Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion TransformerDiffusion models → Image generation, text-to-image and editing
- Finding Needles in Images: Can Multimodal LLMs Locate Fine Details?Multimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- MedMambaLite: Hardware-Aware Mamba for Medical Image ClassificationState-space sequence models (S4, Mamba) → Mamba for medical image analysis +1
- SPaCe: Unlocking Sample-Efficient Large Language Models Training With Self-Pace Curriculum LearningLLM reasoning → Reinforcement learning for reasoning
- Towards Hallucination-Free Music: A Reinforcement Learning Preference Optimization Framework for Reliable Song GenerationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Can Large Language Models Integrate Spatial Data? Empirical Insights into Reasoning Strengths and Computational WeaknessesLLM reasoning → Spatial and embodied reasoning
- Multimodal Causal-Driven Representation Learning for Generalizable Medical Image SegmentationMultimodal LLMs / vision-language models → Medical vision-language models
- Generative AI for Object-Oriented Programming: Writing the Right Code and Reasoning the Right LogicLLM reasoning → Reasoning for agents, planning and code
- R-Zero: Self-Evolving Reasoning LLM from Zero DataLLM reasoning → Reasoning for agents, planning and code +1
- AgenticData: An Agentic Data Analytics System for Heterogeneous DataLLM agents and tool use → Web, search, and research agents
- REF-VC: Robust, Expressive and Fast Zero-Shot Voice Conversion with Diffusion TransformersDiffusion models → Audio, speech and music
- Hierarchical Deep Deterministic Policy Gradient for Autonomous Maze Navigation of Mobile RobotsDeep reinforcement learning methods → RL for robot navigation and UAV control
- Steering One-Step Diffusion Model with Fidelity-Rich Decoder for Fast Image CompressionDiffusion models → Diffusion for compression and wireless
- A Metric for MLLM Alignment in Large-scale RecommendationMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- Accelerating Conditional Prompt Learning via Masked Image Modeling for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- A Feature Engineering Approach for Business Impact-Oriented Failure Detection in Distributed Instant Payment Systems
- Robust Market Making: To Quote, or not To Quote
- HemePLM-Diffuse: A Scalable Generative Framework for Protein-Ligand Dynamics in Large Biomolecular System
- Fair Play in the Newsroom: Actor-Based Filtering Gender Discrimination in Text Corpora
- Revealing Neurocognitive and Behavioral Patterns by Unsupervised Manifold Learning from Dynamic Brain Data
- LLM-Based Intelligent Agents for Music Recommendation: A Comparison with Classical Content-Based Filtering
- RRRA: Resampling and Reranking through a Retriever Adapter
- Collaborative Learning-Enhanced Lightweight Models for Predicting Arterial Blood Pressure Waveform in a Large-scale Perioperative Dataset
- Conformal P-Value in Multiple-Choice Question Answering Tasks with Provable Risk Control
- LATTE: Learning Aligned Transactions and Textual Embeddings for Bank Clients
- A Rose by Any Other Name Would Smell as Sweet: Categorical Homotopy Theory for Large Language Models
- Breath as a biomarker: A survey of contact and contactless applications and approaches in respiratory monitoring
- RL-MoE: An Image-Based Privacy Preserving Approach In Intelligent Transportation System
- A Neurosymbolic Framework for Interpretable Cognitive Attack Detection in Augmented Reality
- MedPatch: Confidence-Guided Multi-Stage Fusion for Multimodal Clinical Data
- Long-Term Client Selection for Federated Learning with Non-IID Data: A Truthful Auction Approach
- scAGC: Learning Adaptive Cell Graphs with Contrastive Guidance for Single-Cell Clustering
- Generative Artificial Intelligence in Medical Imaging: Foundations, Progress, and Clinical Translation
- DQT: Dynamic Quantization Training via Dequantization-Free Nested Integer Arithmetic
- A Context-aware Attention and Graph Neural Network-based Multimodal Framework for Misogyny Detection
- FedMP: Tackling Medical Feature Heterogeneity in Federated Learning from a Manifold Perspective
- LLM-BI: Towards Fully Automated Bayesian Inference with Large Language Models
- Algorithmic Shortlisting in Participatory Budgeting
- GFlowNets for Learning Better Drug-Drug Interaction Representations
- Efficient Safety Testing of Autonomous Vehicles via Adaptive Search over Crash-Derived Scenarios
- Semi-Supervised Supply Chain Fraud Detection with Unsupervised Pre-Filtering
- Teaching Introduction to Programming in the times of AI: A case study of a course re-design
- ImpliHateVid: A Benchmark Dataset and Two-stage Contrastive Learning Framework for Implicit Hate Speech Detection in Videos
- Surformer v1: Transformer-Based Surface Classification Using Tactile and Vision Features
- Bridging Brain Connectomes and Clinical Reports for Early Alzheimer's Disease Diagnosis
- Robust Image Stitching with Optimal Plane
- Estimating the size of a set using cascading exclusion
- HOLODECK 2.0: Vision-Language-Guided 3D World Generation with Editing
- Planning Agents on an Ego-Trip: Leveraging Hybrid Ego-Graph Ensembles for Improved Tool Retrieval in Enterprise Task Planning
- User-Intent-Driven Semantic Communication via Adaptive Deep Understanding
- Training chord recognition models on artificially generated audio
- Multi-view Gaze Target Estimation
- Safety of Embodied Navigation: A Survey
- Temporal Cluster Assignment for Efficient Real-Time Video Segmentation
- Towards Transparent Ethical AI: A Roadmap for Trustworthy Robotic Systems
- Online Budget Allocation with Censored Semi-Bandit Feedback
- Discovering Properties of Inflectional Morphology in Neural Emergent Communication
- An Effective Approach for Node Classification in Textual Graphs
- NanoCodec: Towards High-Quality Ultra Fast Speech LLM Inference
- Optimal Linear Baseline Models for Scientific Machine Learning
- "Mirror" Large Language Model Evaluations of Depression are Criterion Contaminated
- TSMS-SAM2: Multi-scale Temporal Sampling Augmentation and Memory-Splitting Pruning for Promptable Video Object Segmentation and Tracking in Surgical Scenarios
- MZEN: Multi-Zoom Enhanced NeRF for 3-D Reconstruction with Unknown Camera Poses
- Optimization-Free Style Transfer for 3D Gaussian Splats
- Human-like fleeting memory improves language learning but impairs reading time prediction in transformer language models
- AI-Guided Exploration of Large-Scale Codebases
- Basic interactive algorithms: Preview
- Holistic Explainable AI (H-XAI): Extending Transparency Beyond Developers in AI-Driven Decision Making
- From Imperfect Signals to Trustworthy Structure: Confidence-Aware Inference from Heterogeneous and Reliability-Varying Utility Data
- Few-Shot Deployment of Pretrained MRI Transformers in Brain Imaging Tasks
- FineDialFact: A benchmark for Fine-grained Dialogue Fact Verification
- Neural Operator-Based Nonlinear Nudging for Chaotic Dynamical Systems
- Whither symbols in the era of advanced neural networks?
- Improving Masked Style Transfer using Blended Partial Convolution
- A Framework for Inherently Safer AGI through Language-Mediated Active Inference
- Stochastic Trace Optimization of Parameter Dependent Matrices Based on Statistical Learning Theory
- UniFFBench: Evaluating Universal Machine Learning Force Fields Against Experimental Measurements
- Detecting Model Misspecification in Cosmology with Scale-Dependent Normalizing Flows
- Generalized Few-Shot Out-of-Distribution Detection
- A Graph-Based Framework for Exploring Mathematical Patterns in Physics: A Proof of Concept
- PEACH: A sentence-aligned Parallel English-Arabic Corpus for Healthcare
- Reduction Techniques for Survival Analysis
- G-UBS: Towards Robust Understanding of Implicit Feedback via Group-Aware User Behavior Simulation
- Identifiability of the minimum-trace directed acyclic graph and hill climbing algorithms without strict local optima under weakly increasing error variances
- A Physiologically-Constrained Neural Network Digital Twin Framework for Replicating Glucose Dynamics in Type 1 Diabetes
- Multi-Faceted Large Embedding Tables for Pinterest Ads Ranking
- FaceAnonyMixer: Cancelable Faces via Identity Consistent Latent Space Mixing
- KuaiLive: A Real-time Interactive Dataset for Live Streaming Recommendation
- GAP: Gaussianize Any Point Clouds with Text Guidance
- MOSEv2: A More Challenging Dataset for Video Object Segmentation in Complex Scenes
- H-Net++: Hierarchical Dynamic Chunking for Tokenizer-Free Language Modelling in Morphologically-Rich Languages
- Physically Controllable Relighting of Photographs
- TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution
- Hi3DEval: Advancing 3D Generation Evaluation with Hierarchical Validity
- Provable one-poison backdoor attacks on linear models and ReLU neural networks
- WeTok: Powerful Discrete Tokenization for High-Fidelity Visual Reconstruction
- Optimizing IoT Threat Detection with Kolmogorov-Arnold Networks (KANs)
- Enhancing PyKEEN with Multiple Negative Sampling Solutions for Knowledge Graph Embedding Models
- DART: Dual Adaptive Refinement Transfer for Open-Vocabulary Multi-Label Recognition
- Iterative Learning of Computable Phenotypes for Treatment Resistant Hypertension using Large Language Models
- iFairy: the First 2-bit Complex LLM with All Parameters in ±1, ± i
- High-Order Error Bounds for Markovian LSA with Richardson-Romberg Extrapolation
- X-VFL: A New Vertical Federated Learning Framework with Cross Completion and Decision Subspace Alignment
- L1-Regularized Functional Support Vector Machine
- On the Design of Expressive and Trainable Pulse-based Quantum Machine Learning Models
- SPGISpeech 2.0: Transcribed multi-speaker financial audio for speaker-tagged transcription
- Conformal Sets in Multiple-Choice Question Answering under Black-Box Settings with Provable Coverage Guarantees
- Tractable Sharpness-Aware Learning of Probabilistic Circuits
- Mixed-Initiative Dialog for Human-Robot Collaborative Manipulation
- CoCoLex: Confidence-guided Copy-based Decoding for Grounded Legal Text Generation
- Point cloud segmentation for 3D Clothed Human Layering
- Looking into the Unknown: Exploring Action Discovery for Segmentation of Known and Unknown Actions
- When Deepfake Detection Meets Graph Neural Network:a Unified and Lightweight Learning Framework
- The World According to LLMs: How Geographic Origin Influences LLMs' Entity Deduction Capabilities
- Optimal Brain Connection: Towards Efficient Structural Pruning
- Leveraging AI to Accelerate Medical Data Cleaning: A Comparative Study of AI-Assisted vs. Traditional Methods
- FS-IQA: Certified Feature Smoothing for Robust Image Quality Assessment
- Head Anchor Enhanced Detection and Association for Crowded Pedestrian Tracking
- Streamlining Admission with LOR Insights: AI-Based Leadership Assessment in Online Master's Program
- LAG: Logic-Augmented Generation from a Cartesian Perspective
- Revealing Latent Information: A Physics-inspired Self-supervised Pre-training Framework for Noisy and Sparse Events
- Symmetry Understanding of 3D Shapes via Chirality Disentanglement
- Parameter-free entropy-regularized multi-view clustering with hierarchical feature selection
- SMOL-MapSeg: Show Me One Label as prompt
- Exact and Heuristic Algorithms for Constrained Biclustering
- MoMA: A Mixture-of-Multimodal-Agents Architecture for Enhancing Clinical Prediction Modelling
- Keep It Real: Challenges in Attacking Compression-Based Adversarial Purification
- Can Large Language Models Generate Effective Datasets for Emotion Recognition in Conversations?
- Embedding Alignment in Code Generation for Audio
- Prediction of Survival Outcomes under Clinical Presence Shift: A Joint Neural Network Architecture
- Rethinking Creativity Evaluation: A Critical Analysis of Existing Creativity Evaluations
- Let's Measure Information Step-by-Step: AI-Based Evaluation Beyond Vibes
- TASE: Token Awareness and Structured Evaluation for Multilingual Language Models
- F2PASeg: Feature Fusion for Pituitary Anatomy Segmentation in Endoscopic Surgery
- Bench-2-CoP: Can We Trust Benchmarking for EU AI Compliance?
- Task complexity shapes internal representations and robustness in neural networks
- EnergyPatchTST: Multi-scale Time Series Transformers with Uncertainty Estimation for Energy Forecasting
- LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models
- Learning Geometric-Aware Quadrature Rules for Functional Minimization
- Tail-Risk-Safe Monte Carlo Tree Search under PAC-Level Guarantees
- Online Sparsification of Bipartite-Like Clusters in Graphs
- Competing Risks: Impact on Risk Estimation and Algorithmic Fairness
- Whose Truth? Pluralistic Geo-Alignment for (Agentic) AI
- MyCulture: Exploring Malaysia's Diverse Culture under Low-Resource Language Constraints
- Group Causal Policy Optimization for Post-Training Large Language Models
- Large Language Models Transform Organic Synthesis From Reaction Prediction to Automation
- Federated Multi-Objective Learning with Controlled Pareto Frontiers
- Negative Binomial Variational Autoencoders for Overdispersed Latent Modeling
- Smoothing Slot Attention Iterations and Recurrences
- Echo State Networks for Bitcoin Time Series Prediction
- Physical Adversarial Camouflage through Gradient Calibration and Regularization
- MolSnap: Snap-Fast Molecular Generation with Latent Variational Mean Flow
- Cumulative Learning Rate Adaptation: Revisiting Path-Based Schedules for SGD and Adam
- NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning
- On the Reliability of Sampling Strategies in Offline Recommender Evaluation
- Artificial Intelligence-Based Classification of Spitz Tumors
- An Explainable Machine Learning Framework for Railway Predictive Maintenance using Data Streams from the Metro Operator of Portugal
- Echo: Decoupling Inference and Training for Large-Scale RL Alignment on Heterogeneous Swarms
- Deformable Attention Graph Representation Learning for Histopathology Whole Slide Image Analysis
- CT-GRAPH: Hierarchical Graph Attention Network for Anatomy-Guided CT Report Generation
- The TUB Sign Language Corpus Collection
- Cross-View Localization via Redundant Sliced Observations and A-Contrario Validation
- Latent Preference Bandits
- Optimal Corpus Aware Training for Neural Machine Translation
- Building Effective Safety Guardrails in AI Education Tools
- Evaluation of a Sign Language Avatar on Comprehensibility, User Experience & Acceptability
- PriorRG: Prior-Guided Contrastive Pre-training and Coarse-to-Fine Decoding for Chest X-ray Report Generation
- Multi-Modal Multi-Behavior Sequential Recommendation with Conditional Diffusion-Based Feature Denoising
- Minimal Model Reasoning in Description Logics: Don't Try This at Home!
- NomicLaw: Emergent Trust and Strategic Argumentation in LLMs During Collaborative Law-Making
- 3DGabSplat: 3D Gabor Splatting for Frequency-adaptive Radiance Field Rendering
- Harmonic fractal transformation for modeling complex neuronal effects: from bursting and noise shaping to waveform sensitivity and noise-induced subthreshold spiking
- Unsupervised Deep Learning for Inverse Problems in Computed Tomography
- Divide-and-Conquer for Enhancing Unlabeled Learning, Stability, and Plasticity in Semi-supervised Continual Learning
- CoCAViT: Compact Vision Transformer with Robust Global Coordination
- Adaptive Batch Size and Learning Rate Scheduler for Stochastic Gradient Descent Based on Minimization of Stochastic First-order Oracle Complexity
- VS-LLM: Visual-Semantic Depression Assessment based on LLM for Drawing Projection Test
- Optimal Growth Schedules for Batch Size and Learning Rate in SGD that Reduce SFO Complexity
- FlowState: Sampling-Rate-Equivariant Time-Series Forecasting
- Decision-Making with Deliberation: Meta-reviewing as a Document-grounded Dialogue
- Wavelet-Guided Dual-Frequency Encoding for Remote Sensing Change Detection
- B4DL: A Benchmark for 4D LiDAR LLM in Spatio-Temporal Understanding
- An Explainable Natural Language Framework for Identifying and Notifying Target Audiences In Enterprise Communication
- Understanding and Mitigating Errors of LLM-Generated RTL Code
- Robust Tracking with Particle Filtering for Fluorescent Cardiac Imaging
- Marine Chlorophyll Prediction and Driver Analysis based on LSTM-RF Hybrid Models
- CF3: Compact and Fast 3D Feature Fields
- Salt-Rock Creep Deformation Forecasting Using Deep Neural Networks and Analytical Models for Subsurface Energy Storage Applications
- A Study of Gender Classification Techniques Based on Iris Images: A Deep Survey and Analysis
- RegionMed-CLIP: A Region-Aware Multimodal Contrastive Learning Pre-trained Model for Medical Image Understanding
- CodeBoost: Boosting Code LLMs by Squeezing Knowledge from Code Snippets with RL
- Periodic evaluation of defined-contribution pension fund: A dynamic risk measure approach
- Coarse-to-Fine Joint Registration of MR and Ultrasound Images via Imaging Style Transfer
- Pruning Large Language Models by Identifying and Preserving Functional Networks
- Driver Assistant: Persuading Drivers to Adjust Secondary Tasks Using Large Language Models
- Cross-LoRA: A Data-Free LoRA Transfer Framework across Heterogeneous LLMs
- FDC-Net: Rethinking the association between EEG artifact removal and multi-dimensional affective computing
- ADSEL: Adaptive Dual Self-Expression Learning for EEG Feature Selection via Incomplete Multi-Dimensional Emotion Labels
- CWEFS: Brain volume conduction effects inspired channel-wise EEG feature selection for multi-dimensional emotion recognition
- Segmenting the Complex and Irregular in Two-Phase Flows: A Real-World Empirical Study with SAM2
- Don't Reach for the Stars: Rethinking Topology for Resilient Federated Learning
- ML-based Short Physical Performance Battery future score prediction based on questionnaire data
- DFW: A Novel Weighting Scheme for Covariate Balancing and Treatment Effect Estimation
- Textual and Visual Guided Task Adaptation for Source-Free Cross-Domain Few-Shot Segmentation
- High-Dimensional Differentially Private Quantile Regression: Distributed Estimation and Statistical Inference
- Advanced Hybrid Transformer LSTM Technique with Attention and TS Mixer for Drilling Rate of Penetration Prediction
- SpectroStream: A Versatile Neural Codec for General Audio
- Bidding-Aware Retrieval for Multi-Stage Consistency in Online Advertising
- EndoMatcher: Generalizable Endoscopic Image Matcher via Multi-Domain Pre-training for Robot-Assisted Surgery
- FAITH: A Framework for Assessing Intrinsic Tabular Hallucinations in Finance
- EvoGraph: Hybrid Directed Graph Evolution toward Software 3.0
- Balancing Accuracy and Novelty with Sub-Item Popularity
- Physics-Informed Time-Integrated DeepONet: Temporal Tangent Space Operator Learning for High-Accuracy Inference
- Incident Response Planning Using a Lightweight Large Language Model with Reduced Hallucination
- Refining Gaussian Splatting: A Volumetric Densification Approach
- SPA++: Generalized Graph Spectral Alignment for Versatile Domain Adaptation
- ATLANTIS at SemEval-2025 Task 3: Detecting Hallucinated Text Spans in Question Answering
- Human Activity Recognition from Smartphone Sensor Data for Clinical Trials
- Near Optimal Inference for the Best-Performing Algorithm
- Multi-tracklet Tracking for Generic Targets with Adaptive Detection Clustering
- Hybrid quantum tensor networks for aeroelastic applications
- Beyond Pixels: Medical Image Quality Assessment with Implicit Neural Representations
- S2M-Former: Spiking Symmetric Mixing Branchformer for Brain Auditory Attention Detection
- X-MoGen: Unified Motion Generation across Humans and Animals
- Rotation Equivariant Arbitrary-scale Image Super-Resolution
- Onboarding Without Forgetting: Hypernetwork Personalization with Data-Free Replay for Personalized Federated Learning
- FCBV-Net: Category-Level Robotic Garment Smoothing via Feature-Conditioned Bimanual Value Prediction
- Tool Graph Retriever: Exploring Dependency Graph-based Tool Retrieval for Large Language Models
- Speech LLMs in Low-Resource Scenarios: Data Volume Requirements and the Impact of Pretraining on High-Resource Languages
- Chemist Eye: A Visual Language Model-Powered System for Safety Monitoring and Robot Decision-Making in Self-Driving Laboratories
- Graph-based Event Log Repair
- PSEO: Optimizing Post-hoc Stacking Ensemble Through Hyperparameter Tuning
- Deep Neural Networks with General Activations: Super-Convergence in Sobolev Norms
- Deep Learning-based Animal Behavior Analysis: Insights from Mouse Chronic Pain Models
- FedGIN: Federated Learning with Dynamic Global Intensity Non-linear Augmentation for Organ Segmentation using Multi-modal Images
- HFedATM: Hierarchical Federated Domain Generalization via Optimal Transport and Regularized Mean Aggregation
- Attention Basin: Why Contextual Position Matters in Large Language Models
- Latent Expression Generation for Referring Image Segmentation and Grounding
- AHDMIL: Asymmetric Hierarchical Distillation Multi-Instance Learning for Fast and Accurate Whole-Slide Image Classification
- EasySize: Elastic Analog Circuit Sizing via LLM-Guided Heuristic Search
- Learning from Similarity-Confidence and Confidence-Difference
- Fairness in Dysarthric Speech Synthesis: Understanding Intrinsic Bias in Dysarthric Speech Cloning using F5-TTS
- MultiCheck: Strengthening Web Trust with Unified Multimodal Fact Verification
- Sculpting Margin Penalty: Intra-Task Adapter Merging and Classifier Calibration for Few-Shot Class-Incremental Learning
- PoseGen: In-Context LoRA Finetuning for Pose-Controllable Long Human Video Generation
- Cold-Start Active Preference Learning in Socio-Economic Domains
- Integrated Influence: Data Attribution with Baseline
- AdaFusion: Prompt-Guided Inference with Adaptive Fusion of Pathology Foundation Models
- From Isolation to Alignment: Unified LoRA for Efficient Multi-Task Learning
- Align-for-Fusion: Harmonizing Triple Preferences via Dual-oriented Diffusion for Cross-domain Sequential Recommendation
- ULU: A Unified Activation Function
- TANGO: Graph Neural Dynamics via Learned Energy and Tangential Flows
- Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks
- Two tales for a geometric Jensen--Shannon divergence
- Decoupling Continual Semantic Segmentation
- A Study of the Framework and Real-World Applications of Language Embedding for 3D Scene Understanding
- DualMat: PBR Material Estimation via Coherent Dual-Path Diffusion
- Learning from Oblivion: Predicting Knowledge Overflowed Weights via Retrodiction of Forgetting
- Human-AI Schema Discovery and Application for Creative Problem Solving
- HAMoBE: Hierarchical and Adaptive Mixture of Biometric Experts for Video-based Person ReID
- A Novel Image Similarity Metric for Scene Composition Structure
- Q-DPTS: Quantum Differentially Private Time Series Forecasting via Variational Quantum Circuits
- An ML-based Approach to Predicting Software Change Dependencies: Insights from an Empirical Study on OpenStack
- Evaluation of Finetuned LLMs in AMR Parsing
- Will You Be Aware? Eye Tracking-Based Modeling of Situational Awareness in Augmented Reality
- Dialogues Aspect-based Sentiment Quadruple Extraction via Structural Entropy Minimization Partitioning
- Skin-SOAP: A Weakly Supervised Framework for Generating Structured SOAP Notes
- AU-IQA: A Benchmark Dataset for Perceptual Quality Assessment of AI-Enhanced User-Generated Content
- Making Prompts First-Class Citizens for Adaptive LLM Pipelines
- The Docking Game: Loop Self-Play for Fast, Dynamic, and Accurate Prediction of Flexible Protein-Ligand Binding
- A Multi-Stage Large Language Model Framework for Extracting Suicide-Related Social Determinants of Health
- CRAM: Large-scale Video Continual Learning with Bootstrapped Compression
- Disentangling Bias by Modeling Intra- and Inter-modal Causal Attention for Multimodal Sentiment Analysis
- Attribute Guidance With Inherent Pseudo-label For Occluded Person Re-identification
- Situated Epistemic Infrastructures: A Diagnostic Framework for Post-Coherence Knowledge
- Modeling Rapid Contextual Learning in the Visual Cortex with Fast-Weight Deep Autoencoder Networks
- Unified modality separation: A vision-language framework for unsupervised domain adaptation
- RCUKF: Data-Driven Modeling Meets Bayesian Estimation
- Propagating Sparse Depth via Depth Foundation Model for Out-of-Distribution Depth Completion
- Supervised Machine Learning Methods with Uncertainty Quantification for Exoplanet Atmospheric Retrievals from Transmission Spectroscopy
- CSRAP: Enhanced Canvas Attention Scheduling for Real-Time Mission Critical Perception
- UGOD: Uncertainty-Guided Differentiable Opacity and Soft Dropout for Enhanced Sparse-View 3DGS
- Laplacian Analysis Meets Dynamics Modelling: Gaussian Splatting for 4D Reconstruction
- Perceive-Sample-Compress: Towards Real-Time 3D Gaussian Splatting
- Anti-Jamming Sensing with Distributed Reconfigurable Intelligent Metasurface Antennas
- Open-world Point Cloud Semantic Segmentation: A Human-in-the-loop Framework
- MENDR: Manifold Explainable Neural Data Representations
- AdvDINO: Domain-Adversarial Self-Supervised Representation Learning for Spatial Proteomics
- Tesserae: Scalable Placement Policies for Deep Learning Workloads
- Compressed Decentralized Momentum Stochastic Gradient Methods for Nonconvex Optimization
- Self-Error Adjustment: Theory and Practice of Balancing Individual Performance and Diversity in Ensemble Learning
- REINA: Regularized Entropy Information-Based Loss for Efficient Simultaneous Speech Translation
- Towards Robust Evaluation of Visual Activity Recognition: Resolving Verb Ambiguity with Sense Clustering
- TRKT: Weakly Supervised Dynamic Scene Graph Generation with Temporal-enhanced Relation-aware Knowledge Transferring