Papers
Wed 25 Feb 2026
407 papers
- LLM-Based Multi-Agent Systems for Code Generation: A Multi-Vocal Literature ReviewLLM agents and tool use → Software engineering coding agents
- OOWM: Structuring Embodied Reasoning and Planning via Object-Oriented Programmatic World ModelingWorld models → World models for language agents +1
- Help Without Being Asked: A Deployed Proactive Agent System for On-Call Support with Continuous Self-ImprovementLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- FinReasoning: A Hierarchical Benchmark for Reliable Financial Research ReportingLLM reasoning → Reasoning for agents, planning and code
- GeoChallenge: A Multi-Answer Multiple-Choice Benchmark for Geometric Reasoning with DiagramsLLM reasoning → Spatial and embodied reasoning
- Enhancing Legal LLMs through Metadata-Enriched RAG Pipelines and Direct Preference OptimizationRetrieval-augmented generation → Legal and financial RAG +1
- DuCCAE: A Hybrid Engine for Immersive Conversation via Collaboration, Augmentation, and EvolutionLLM agents and tool use → General LLM agent frameworks and benchmarks
- An Agentic System for Schema Aware NL2SQL GenerationLLM agents and tool use → Web, search, and research agents
- Multi-hop Reasoning and Retrieval in Embedding Space: Leveraging Large Language Models with KnowledgeLLM reasoning → Knowledge- and tool-augmented reasoning
- Beyond Attention: True Adaptive World Models via Spherical Kernel OperatorWorld models → Latent predictive world models
- Explain in Your Own Words: Improving Reasoning via Token-Selective Dual Knowledge DistillationLLM reasoning → Prompting and chain-of-thought reasoning +1
- How Transformers Reject Wrong Answers: Rotational Dynamics of Factual Constraint ProcessingMechanistic interpretability → Probing deception, bias and beliefs
- Your Code Agent Can Grow Alongside You with Structured MemoryLLM agents and tool use → Software engineering coding agents
- Speculative Decoding Scaling Laws (SDSL): Throughput Optimization Made SimpleEfficient LLM inference and serving → Speculative decoding
- Adaptive Multi-Objective Tiered Storage Configuration for KV Cache in LLM ServiceEfficient LLM inference and serving → KV cache optimization
- HEARTS: Benchmarking LLM Reasoning on Health Time SeriesLLM reasoning → Clinical and biomedical applications
- HELIOS: Harmonizing Early Fusion, Late Fusion, and LLM Reasoning for Multi-Granular Table-Text RetrievalLLM reasoning → Knowledge- and tool-augmented reasoning
- FlowPortrait: Reinforcement Learning for Audio-Driven Portrait Video GenerationDeep reinforcement learning methods → RL training of language and agent models
- EfficientPosterGen: Semantic-aware Efficient Poster Generation via Token Compression and Accurate Violation DetectionEfficient LLM inference and serving → Visual token pruning in multimodal models
- Dr. Seg: Revisiting GRPO Training for Visual Large Language Models through Perception-Oriented DesignLLM reasoning → Multimodal reasoning
- Attention to Neural Plagiarism: Diffusion Models Can Plagiarize Your Copyrighted Images!Diffusion models → Robustness, privacy and adversarial aspects +1
- Physics-Consistent Diffusion for Efficient Fluid Super-Resolution via Multiscale Residual CorrectionDiffusion models → Flow matching, time series and science
- Leveraging large multimodal models for audio-video deepfake detection: a pilot studyMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Flow Matching is Adaptive to Manifold StructuresDiffusion models → Flow matching, time series and science
- VeRO: A Harness for Agents to Optimize AgentsLLM agents and tool use → Software engineering coding agents
- When to Act, Ask, or Learn: Uncertainty-Aware Policy SteeringDiffusion models → Diffusion and flow policies for robotics
- Beyond Dominant Patches: Spatial Credit Redistribution For Grounded Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- ConstraintBench: Benchmarking LLM Constraint Reasoning on Direct OptimizationLLM reasoning → Test-time compute and efficient thinking
- MammoWise: Multi-Model Local RAG Pipeline for Mammography Report GenerationRetrieval-augmented generation → Medical and biomedical RAG
- Exploring Multimodal LMMs for Online Episodic Memory Question Answering on the EdgeMultimodal LLMs / vision-language models → Video understanding with MLLMs
- CWM: Contrastive World Models for Action Feasibility Learning in Embodied Agent PipelinesWorld models → Embodied and robot world models +1
- Silent Egress: When Implicit Prompt Injection Makes LLM Agents Leak Without a TraceLLM agents and tool use → Agent threats, guardrails and governance +1
- A Framework for Assessing AI Agent Decisions and Outcomes in AutoML PipelinesLLM agents and tool use → General LLM agent frameworks and benchmarks
- Calibrated Test-Time Guidance for Bayesian InferenceDiffusion models → Inverse problems and image restoration
- Adversarial Hubness Detector: Detecting Hubness Poisoning in Retrieval-Augmented Generation SystemsRetrieval-augmented generation → Privacy and security of RAG
- SimpleOCR: Rendering Visualized Questions to Teach MLLMs to ReadMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- ArchAgent: Agentic AI-driven Computer Architecture DiscoveryLLM agents and tool use → Software engineering coding agents
- Absorbing Discrete Diffusion for Speech EnhancementDiffusion models → Audio, speech and music
- Epistemic Filtering and Collective Hallucination: A Jury Theorem for Confidence-Calibrated AgentsLLM agents and tool use → Social simulation and multi-agent debate
- Towards Autonomous Memory AgentsLLM agents and tool use → Agent memory systems
- Contextual Memory Virtualisation: DAG-Based State Management and Structurally Lossless Trimming for LLM AgentsLLM reasoning → Reasoning for agents, planning and code +1
- E3VA: Enhancing Emotional Expressiveness in Virtual Conversational AgentsLLM agents and tool use → Social simulation and multi-agent debate
- Decoder-based Sense Knowledge DistillationKnowledge distillation → Knowledge distillation for LLMs
- Structure and Redundancy in Large Language Models: A Spectral Study via Random Matrix TheoryKnowledge distillation → General knowledge distillation methods
- Training Agents to Self-Report MisbehaviorLLM agents and tool use → Agent threats, guardrails and governance
- Agent Behavioral Contracts: Formal Specification and Runtime Enforcement for Reliable Autonomous AI AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Learning Rewards, Not Labels: Adversarial Inverse Reinforcement Learning for Machinery Fault DetectionOffline RL and imitation learning from data → Inverse reinforcement learning +1
- UpSkill: Mutual Information Skill Learning for Structured Response Diversity in LLMsLLM reasoning → Reinforcement learning for reasoning
- BrepCoder: A Unified Multimodal Large Language Model for Multi-task B-rep ReasoningLLM reasoning → Spatial and embodied reasoning +1
- FIRE: A Comprehensive Benchmark for Financial Intelligence and Reasoning EvaluationLLM reasoning → Reasoning for agents, planning and code
- Entropy-Controlled Flow MatchingDiffusion models → Flow matching, time series and science
- Code World Models for Parameter Control in Evolutionary AlgorithmsWorld models → World models for language agents
- Poisoned AcousticsLLM safety and security → Backdoor and data poisoning attacks
- Solaris: Building a Multiplayer Video World Model in MinecraftWorld models → Video-generation world models and simulators
- Improving Parametric Knowledge Access in Reasoning Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- GUI-Libra: Training Native GUI Agents to Reason and Act with Action-aware Supervision and Partially Verifiable RLLLM agents and tool use → GUI and mobile agents
- Provable Last-Iterate Convergence for Multi-Objective Safe LLM Alignment via Optimistic Primal-DualLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- NoLan: Mitigating Object Hallucinations in Large Vision-Language Models via Dynamic Suppression of Language PriorsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- MedTri: A Platform for Structured Medical Report Normalization to Enhance Vision-Language PretrainingMultimodal LLMs / vision-language models → Medical vision-language models
- WeaveTime: Stream from Earlier Frames into Emergent Memory in VideoLLMsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- SWE-Prot'eg'e: Learning to Selectively Collaborate With an Expert Unlocks Small Language Models as Software Engineering AgentsLLM agents and tool use → Software engineering coding agents
- Probing the Geometry of Diffusion Models with the String MethodDiffusion models → Flow matching, time series and science
- Brain3D: Brain Report Automation via Inflated Vision Transformers in 3DMultimodal LLMs / vision-language models → Medical vision-language models
- Understanding Artificial Theory of Mind: Perturbed Tasks and Reasoning in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Language Models Exhibit Inconsistent Biases Towards Algorithmic Agents and Human ExpertsLLM agents and tool use → Social simulation and multi-agent debate
- Learning Quantum Data Distribution via Chaotic Quantum Diffusion ModelDiffusion models → Diffusion foundations and sampling
- NESTOR: A Nested MOE-based Neural Operator for Large-Scale PDE Pre-TrainingMixture-of-experts → MoE theory and gating functions
- RobustVisRAG: Causality-Aware Vision-Based Retrieval-Augmented Generation under Visual DegradationsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- World Guidance: World Modeling in Condition Space for Action GenerationWorld models → Embodied and robot world models +1
- PanoEnv: Exploring 3D Spatial Intelligence in Panoramic Environments with Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- When LoRA Betrays: Backdooring Text-to-Image Models by Masquerading as Benign AdaptersDiffusion models → Robustness, privacy and adversarial aspects +1
- MindDriver: Introducing Progressive Multimodal Reasoning for Autonomous DrivingLLM reasoning → Chain-of-thought reasoning for driving +2
- RADAR: Reasoning as Discrimination with Aligned Representations for LLM-based Knowledge Graph ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- MEDSYN: Benchmarking Multi-EviDence SYNthesis in Complex Clinical Cases for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- ExpLang: Improved Exploration and Exploitation in LLM Reasoning with On-Policy Thinking Language SelectionLLM reasoning → Reinforcement learning for reasoning
- DynamicGTR: Leveraging Graph Topology Representation Preferences to Boost VLM Capabilities on Graph QAsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- ProactiveMobile: A Comprehensive Benchmark for Boosting Proactive Intelligence on Mobile DevicesLLM agents and tool use → GUI and mobile agents
- FewMMBench: A Benchmark for Multimodal Few-Shot LearningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- LightSim: A Lightweight Cell Transmission Model Simulator for Traffic Signal Control ResearchDeep reinforcement learning methods → RL for autonomous driving and traffic
- A Multi-Turn Framework for Evaluating AI Misuse in Fraud and Cybercrime ScenariosLLM safety and security → Prompt injection and agent security
- Self-Curriculum Model-based Reinforcement Learning for Shape Control of Deformable Linear ObjectsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Prompt Architecture Determines Reasoning Quality: A Variable Isolation Study on the Car Wash ProblemLLM reasoning → Prompting and chain-of-thought reasoning
- Where Agent Frameworks Fall Short: Examining Functional Challenges and Usability ConcernsLLM agents and tool use → Software engineering coding agents
- Excitation: Momentum For ExpertsMixture-of-experts → Expert routing strategies
- D-COT: Disciplined Chain-of-Thought Learning for Efficient Reasoning in Small Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- XStreamVGGT: Extremely Memory-Efficient Streaming Vision Geometry Grounded Transformer with KV Cache CompressionEfficient LLM inference and serving → Token pruning and merging for ViTs
- Beyond Static Artifacts: A Forensic Benchmark for Video Deepfake Reasoning in Vision Language ModelsLLM reasoning → Multimodal reasoning +1
- Easy to Learn, Yet Hard to Forget: Towards Robust Unlearning Under BiasLLM safety and security → Machine unlearning
- Generalisation of RLHF under Reward Shift and Clipped KL RegularisationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Accelerating Diffusion via Hybrid Data-Pipeline Parallelism Based on Conditional Guidance SchedulingDiffusion models → Diffusion foundations and sampling
- Offline Reasoning for Efficient Recommendation: LLM-Empowered Persona-Profiled Item IndexingLLM reasoning → LLM reasoning for recommendation
- Enhancing Multi-Modal LLMs Reasoning via Difficulty-Aware Group NormalizationLLM reasoning → Multimodal reasoning +1
- Joint-Aligned Latent Action: Towards Scalable VLA Pretraining in the WildVision-language-action models → Human-video and latent-action pretraining
- Explore-on-Graph: Incentivizing Autonomous Exploration of Large Language Models on Knowledge Graphs with Path-refined Reward ModelingLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Evaluating the relationship between regularity and learnability in recursive numeral systems using Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- SurGo-R1: Benchmarking and Modeling Contextual Reasoning for Operative Zone in Surgical VideoLLM reasoning → Clinical and biomedical applications
- Dynamic Multimodal Activation Steering for Hallucination Mitigation in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs +1
- E-comIQ-ZH: A Human-Aligned Dataset and Benchmark for Fine-Grained Evaluation of E-commerce Posters with Chain-of-ThoughtLLM reasoning → Multimodal reasoning
- TiMi: Empower Time Series Transformers with Multimodal Mixture of ExpertsMixture-of-experts → MoE for time series and graphs
- Primary-Fine Decoupling for Action Generation in Robotic ImitationOffline RL and imitation learning from data → Robot manipulation imitation learning
All 407
- AkiraRust: Re-thinking LLM-aided Rust Repair Using a Feedback-guided Thinking SwitchLLM reasoning → Reasoning for agents, planning and code
- Hierarchical LLM-Based Multi-Agent Framework with Prompt Optimization for Multi-Robot Task PlanningLLM agents and tool use → General LLM agent frameworks and benchmarks
- DWA-KD: Dual-Space Weighting and Time-Warped Alignment for Cross-Tokenizer Knowledge DistillationKnowledge distillation → Knowledge distillation for LLMs
- CCCaption: Dual-Reward Reinforcement Learning for Complete and Correct Image CaptioningDeep reinforcement learning methods → RL training of language and agent models
- Score-Based Conditional Flow Models for MIMO Receiver Design with Superimposed PilotsDiffusion models → Diffusion for compression and wireless
- PPCR-IM: A System for Multi-layer DAG-based Public Policy Consequence Reasoning and Social Indicator MappingLLM reasoning → Causal reasoning in LLMs
- Scalable Multilingual Multimodal Machine Translation with Speech-Text FusionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- AgentLTV: An Agent-Based Unified Search-and-Evolution Framework for Automated Lifetime Value PredictionLLM agents and tool use → Web, search, and research agents
- Self-Correcting VLA: Online Action Refinement via Sparse World ImaginationVision-language-action models → Reinforcement learning and post-training
- RuCL: Stratified Rubric-Based Curriculum Learning for Multimodal Large Language Model ReasoningLLM reasoning → Reinforcement learning for reasoning +1
- Multi-Layer Scheduling for MoE-Based LLM ReasoningMixture-of-experts → Efficient MoE training and inference systems +1
- When More Is Less: A Systematic Analysis of Spatial and Commonsense Information for Visual Spatial ReasoningLLM reasoning → Spatial and embodied reasoning +1
- Structurally Aligned Subtask-Level Memory for Software Engineering AgentsLLM agents and tool use → Software engineering coding agents
- NGDB-Zoo: Towards Efficient and Scalable Neural Graph Databases TrainingLLM reasoning → Knowledge- and tool-augmented reasoning
- A Hidden Semantic Bottleneck in Conditional Embeddings of Diffusion TransformersDiffusion models → Diffusion foundations and sampling
- Breaking Semantic-Aware Watermarks via LLM-Guided Coherence-Preserving Semantic InjectionDiffusion models → Robustness, privacy and adversarial aspects +1
- CADC: Content Adaptive Diffusion-Based Generative Image CompressionDiffusion models → Diffusion for compression and wireless
- Duel-Evolve: Reward-Free Test-Time Scaling via LLM Self-PreferencesLLM reasoning → Test-time compute and efficient thinking +1
- Learning End-to-End Control for Omnidirectional Aerial Motion on Overactuated Tilt-rotor QuadrotorsDeep reinforcement learning methods → RL for robot navigation and UAV control
- Revisiting RAG Retrievers: An Information Theoretic BenchmarkRetrieval-augmented generation → RAG pipeline design and evaluation
- DualPath: Breaking the Storage Bandwidth Bottleneck in Agentic LLM InferenceEfficient LLM inference and serving → Serving systems and request scheduling
- Mamba Meets Scheduling: Learning to Solve Flexible Job Shop Scheduling with Efficient Sequence ModelingState-space sequence models (S4, Mamba) → Core SSM architectures for language
- ARLArena: A Unified Framework for Stable Agentic Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
- Reasoning-Driven Design of Single Atom Catalysts via a Multi-Agent Large Language Model FrameworkLLM agents and tool use → Medical and scientific domain agents
- Which Tool Response Should I Trust? Tool-Expertise-Aware Chest X-ray Agent with Multimodal Agentic LearningLLM agents and tool use → Medical and scientific domain agents
- Training Generalizable Collaborative Agents via Strategic Risk AversionLLM agents and tool use → Reinforcement learning for LLM agents
- See It, Say It, Sorted: An Iterative Training-Free Framework for Visually-Grounded Multimodal Reasoning in LVLMsLLM reasoning → Multimodal reasoning +1
- Beyond Refusal: Probing the Limits of Agentic Self-Correction for Semantic Sensitive InformationLLM agents and tool use → Agent threats, guardrails and governance +1
- Both Ends Count! Just How Good are LLM Agents at "Text-to-Big SQL"?LLM agents and tool use → Web, search, and research agents
- Pancake: Hierarchical Memory System for Multi-Agent LLM ServingLLM agents and tool use → Agent memory systems
- The Design Space of Tri-Modal Masked Diffusion ModelsDiffusion models → Discrete and text diffusion
- D-Flow SGLD: Source-Space Posterior Sampling for Scientific Inverse Problems with Flow MatchingDiffusion models → Flow matching, time series and science
- Geometric Priors for Generalizable World Models via Vector Symbolic ArchitectureWorld models → Latent predictive world models
- Factorizing formal contexts from closures of necessity operators
- Avenir-UX: Automated UX Evaluation via Simulated Human Web Interaction with GUI Grounding
- ShobdoSetu: A Data-Centric Framework for Bengali Long-Form Speech Recognition and Speaker Diarization
- LARFT: Closing the Cognition-Action Gap for Length Instruction Following in Large Language Models
- A comprehensive study of LLM-based argument classification: from Llama through DeepSeek to GPT-5.2
- Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams
- Spelling Correction in Healthcare Query-Answer Systems: Methods, Retrieval Impact, and Empirical Evaluation
- BenchBrowser: Retrieving Evidence for Evaluating Benchmark Validity
- DECODE: Dual-Enhanced Conditioned Diffusion for EEG Forecasting
- Tokenization vs. Augmentation: A Systematic Study of Writer Variance in IMU-Based Online Handwriting Recognition
- Neural-Symbolic Logic Query Answering in Non-Euclidean Space
- Knowledge, Rules and Their Embeddings: Two Paths towards Neuro-Symbolic JEPA
- Federated Personal Knowledge Graph Completion with Lightweight Large Language Models for Personalized Recommendations
- Evaluation of Audio Language Models for Fairness, Safety, and Security
- Deep Convolutional Architectures for EEG Classification: A Comparative Study with Temporal Augmentation and Confidence-Based Voting
- Architectural Design and Performance Analysis of FPGA based AI Accelerators: A Comprehensive Review
- RECAP: Local Hebbian Prototype Learning as a Self-Organizing Readout for Reservoir Dynamics
- OnDA: On-device Channel Pruning for Efficient Personalized Keyword Spotting
- DINOv3 Meets YOLO26 for Weed Detection in Vegetable Crops
- FujiView: Multimodal Late-Fusion for Predicting Scenic Visibility
- BiCLIP: Bidirectional and Consistent Language-Image Processing for Robust Medical Image Segmentation
- Pulse-Driven Neural Architecture: Learnable Oscillatory Dynamics for Robust Continuous-Time Sequence Processing
- Multiview Progress Prediction of Robot Activities
- Cross-Task Benchmarking of CNN Architectures
- Explainability-Aware Evaluation of Transfer Learning Models for IoT DDoS Detection Under Resource Constraints
- Importance of Prompt Optimisation for Error Detection in Medical Notes Using Language Models
- Sydney Telling Fables on AI and Humans: A Corpus Tracing Memetic Transfer of Persona between LLMs
- Efficient Continual Learning in Language Models via Thalamically Routed Cortical Columns
- Mind the Gap in Cultural Alignment: Task-Aware Culture Management for Large Language Models
- Beyond performance-wise Contribution Evaluation in Federated Learning
- Automating the Detection of Requirement Dependencies Using Large Language Models
- Identifying Crucial Attention Heads for Multilingual Language Models: Retrieval and Retrieval-Transition Heads
- A Fusion of context-aware based BanglaBERT and Two-Layer Stacked LSTM Framework for Multi-Label Cyberbullying Detection
- ECHO: Encoding Communities via High-order Operators
- How Do Latent Reasoning Methods Perform Under Weak and Strong Supervision?
- From Bias to Balance: Fairness-Aware Paper Recommendation for Equitable Peer Review
- veScale-FSDP: Flexible and High-Performance FSDP at Scale
- GetBatch: Distributed Multi-Object Retrieval for ML Data Loading
- LoBoost: Fast Model-Native Local Conformal Prediction for Gradient-Boosted Trees
- mmWave Radar Aware Dual-Conditioned GAN for Speech Reconstruction of Signals With Low SNR
- TopoEdit: Fast Post-Optimization Editing of Topology Optimized Structures
- Causality neq Invariance: Function and Concept Vectors in LLMs
- Revisiting Chebyshev Polynomial and Anisotropic RBF Models for Tabular Regression
- CLIP Is Shortsighted: Paying Attention Beyond the First Sentence
- A Learning-Based Hybrid Decision Framework for Matching Systems with User Departure Detection
- Exploring Human Behavior During Abstract Rule Inference and Problem Solving with the Cognitive Abstraction and Reasoning Corpus
- MolFM-Lite: Multi-Modal Molecular Property Prediction with Conformer Ensemble Attention and Cross-Modal Fusion
- SAFARI: A Community-Engaged Approach and Dataset of Stereotype Resources in the Sub-Saharan African Context
- Vibe Researching as Wolf Coming: Can AI Agents with Skills Replace or Augment Social Scientists?
- Predicting Multi-Drug Resistance in Bacterial Isolates Through Performance Comparison and LIME-based Interpretation of Classification Models
- Vision Transformers Need More Than Registers
- Detecting Hate and Inflammatory Content in Bengali Memes: A New Multimodal Dataset and Co-Attention Framework
- Disentangling Shared and Target-Enriched Topics via Background-Contrastive Non-negative Matrix Factorization
- Enhancing Renal Tumor Malignancy Prediction: Deep Learning with Automatic 3D CT Organ Focused Attention
- AeroDGS: Physically Consistent Dynamic Gaussian Splatting for Single-Sequence Aerial 4D Reconstruction
- Sampling from Constrained Gibbs Measures: with Applications to High-Dimensional Bayesian Inference
- EyeLayer: Integrating Human Attention Patterns into LLM-Based Code Summarization
- Learning geometry-dependent lead-field operators for forward ECG modeling
- Optimizing Neural Network Architecture for Medical Image Segmentation Using Monte Carlo Tree Search
- Scaling In, Not Up? Testing Thick Citation Context Analysis with GPT-5 and Fragile Prompts
- GRAU: Generic Reconfigurable Activation Unit Design for Neural Network Hardware Accelerators
- Enabling clinical use of foundation models for computational pathology
- A 1/R Law for Kurtosis Contrast in Balanced Mixtures
- Testable Learning of General Halfspaces under Massart Noise
- Decoding the Hook: A Multimodal LLM Framework for Analyzing the Hooking Period of Video Ads
- AviaSafe: A Physics-Informed Data-Driven Model for Aviation Safety-Critical Cloud Forecasts
- When Should a Model Change Its Mind? An Energy-Based Theory and Regularizer for Concept Drift in Electrocardiogram (ECG) Signals
- Topology enables learning-based hydrodynamic prediction of the global river system
- Manifold of Failure: Behavioral Attraction Basins in Language Models
- What Topological and Geometric Structure Do Biological Foundation Models Learn? Evidence from 141 Hypotheses
- Reliable XAI Explanations in Sudden Cardiac Death Prediction for Chagas Cardiomyopathy
- Multi-Level Causal Embeddings
- OmniZip: Learning a Unified and Lightweight Lossless Compressor for Multi-Modal Data
- Early Risk Stratification of Dosing Errors in Clinical Trials Using Machine Learning
- Differentially Private Truncation of Unbounded Data via Public Second Moments
- Integrating Machine Learning Ensembles and Large Language Models for Heart Disease Prediction Using Voting Fusion
- Learning to reconstruct from saturated data: audio declipping and high-dynamic range imaging
- RETLLM: Training and Data-Free MLLMs for Multimodal Information Retrieval
- X-REFINE: XAI-based RElevance input-Filtering and archItecture fiNe-tuning for channel Estimation
- Deep Accurate Solver for the Geodesic Problem
- Positional-aware Spatio-Temporal Network for Large-Scale Traffic Prediction
- Support Tokens, Stability Margins, and a New Foundation for Robust LLMs
- Prior Knowledge-enhanced Spatio-temporal Epidemic Forecasting
- CQSA: Byzantine-robust Clustered Quantum Secure Aggregation in Federated Learning
- AutoQRA: Joint Optimization of Mixed-Precision Quantization and Low-rank Adapters for Efficient LLM Fine-Tuning
- Data-Driven Supervision of a Thermal-Hydraulic Process Towards a Physics-Based Digital Twin
- WaveSSM: Multiscale State-Space Models for Non-stationary Signal Attention
- CryoNet.Refine: A One-step Diffusion Model for Rapid Refinement of Structural Models with Cryo-EM Density Map Restraints
- Sustainable LLM Inference using Context-Aware Model Switching
- Orthogonal Weight Modification Enhances Learning Scalability and Convergence Efficiency without Gradient Backpropagation
- Neu-PiG: Neural Preconditioned Grids for Fast Dynamic Surface Reconstruction on Long Sequences
- WHOLE: World-Grounded Hand-Object Lifted from Egocentric Videos
- Recovered in Translation: Efficient Pipeline for Automated Translation of Benchmarks and Datasets
- SumTablets: A Transliteration Dataset of Sumerian Tablets
- Off-The-Shelf Image-to-Image Models Are All You Need To Defeat Image Protection Schemes
- Surrogate models for Rock-Fluid Interaction: A Grid-Size-Invariant Approach
- LiCQA : A Lightweight Complex Question Answering System
- Discovering Subgroups with Exceptional Survival Characteristics
- Mixed Magnification Aggregation for Generalizable Region-Level Representations in Computational Pathology
- DySCO: Dynamic Attention-Scaling Decoding for Long-Context Language Models
- CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness
- Dynamic Personality Adaptation in Large Language Models via State Machines
- CoLoGen: Progressive Learning of Concept-Localization Duality for Unified Image Generation
- Enhancing Framingham Cardiovascular Risk Score Transparency through Logic-Based XAI
- When AI Writes, Whose Voice Remains? Quantifying Cultural Marker Erasure Across World English Varieties in Large Language Models
- Lumosaic: Hyperspectral Video via Active Illumination and Coded-Exposure Pixels
- SigmaQuant: Hardware-Aware Heterogeneous Quantization Method for Edge DNN Inference
- Sample Complexity Bounds for Robust Mean Estimation with Mean-Shift Contamination
- IndicIFEval: A Benchmark for Verifiable Instruction-Following Evaluation in 14 Indic Languages
- GeoDiv: Framework For Measuring Geographical Diversity In Text-To-Image Models
- Slice and Explain: Logic-Based Explanations for Neural Networks through Domain Slicing
- Don't stop me now: How Validation Criteria Affect Checkpoint Selection and Early Stopping
- On Imbalanced Regression with Hoeffding Trees
- WeatherCity: Urban Scene Reconstruction with Controllable Multi-Weather Transformation
- Petri Net Relaxation for Infeasibility Explanation and Sequential Task Planning
- Overview of the CXR-LT 2026 Challenge: Multi-Center Long-Tailed and Zero Shot Chest X-ray Classification
- Learning to Drive is a Free Gift: Large-Scale Label-Free Autonomy Pretraining from Unposed In-The-Wild Videos
- Confidence-Driven Multi-Scale Model Selection for Cost-Efficient Inference
- MBD-ML: Many-body dispersion from machine learning for molecules and materials
- Coarsening Bias from Variable Discretization in Causal Functionals
- AdaSpot: Spend Resolution Where It Matters for Precise Event Spotting
- Semantic Partial Grounding via LLMs
- DualWeaver: Synergistic Feature Weaving Surrogates for Multivariate Forecasting with Univariate Time Series Foundation Models
- FlowCorrect: Efficient Interactive Correction of Generative Flow Policies for Robotic Manipulation
- Physics-Informed Machine Learning for Vessel Shaft Power and Fuel Consumption Prediction: Interpretable KAN-based Approach
- AutoSew: A Geometric Approach to Stitching Prediction with Graph Neural Networks
- SPGen: Stochastic scanpath generation for paintings using unsupervised domain adaptation
- DLT-Corpus: A Large-Scale Text Collection for the Distributed Ledger Technology Domain
- TG-ASR: Translation-Guided Learning with Parallel Gated Cross Attention for Low-Resource Automatic Speech Recognition
- RT-RMOT: A Dataset and Framework for RGB-Thermal Referring Multi-Object Tracking
- RGB-Event HyperGraph Prompt for Kilometer Marker Recognition based on Pre-trained Foundation Models
- Disease Progression and Subtype Modeling for Combined Discrete and Continuous Input Data
- Function-Space Empirical Bayes Regularisation with Student's t Priors
- A Diversity Diet for a Healthier Model: A Case Study of French ModernBERT
- Neural solver for Wasserstein Geodesics and optimal transport dynamics
- Enhancing LLM-Based Test Generation by Eliminating Covered Code
- Outpatient Appointment Scheduling Optimization with a Genetic Algorithm Approach
- Solving stiff dark matter equations via Jacobian Normalization with Physics-Informed Neural Networks
- PatchDenoiser: Parameter-efficient multi-scale patch learning and fusion denoiser for Low-dose CT imaging
- CxMP: A Linguistic Minimal-Pair Benchmark for Evaluating Constructional Understanding in Language Models
- Dream-SLAM: Dreaming the Unseen for Active SLAM in Dynamic Environments
- Compact Circulant Layers with Spectral Priors
- Global-Aware Edge Prioritization for Pose Graph Initialization
- Robustness in sparse artificial neural networks trained with adaptive topology
- Estimation and Optimization of Ship Fuel Consumption in Maritime: Review, Challenges and Future Directions
- Learning to Collaborate via Structures: Cluster-Guided Item Alignment for Federated Recommendation
- Global-Local Dual Perception for MLLMs in High-Resolution Text-Rich Image Translation
- Bayesian Generative Adversarial Networks via Gaussian Approximation for Tabular Data Synthesis
- Algorithmic Blindness in Large Language Models: A Calibration Study of Performance Prediction
- Learning to Fuse and Reconstruct Multi-View Graphs for Diabetic Retinopathy Grading
- Mobile-Ready Automated Triage of Diabetic Retinopathy Using Digital Fundus Images
- Directed Ordinal Diffusion Regularization for Progression-Aware Diabetic Retinopathy Grading
- Hidden Topics: Measuring Sensitive AI Beliefs with List Experiments
- A Framework for Cross-Domain Generalization in Coronary Artery Calcium Scoring Across Gated and Non-Gated Computed Tomography
- Small Wins Big: Comparing Large Language Models and Domain Fine-Tuned Models for Sarcasm Detection in Code-Mixed Hinglish Text
- Geometry-as-context: Modulating Explicit 3D in Scene-consistent Video Generation to Geometry Context
- Learning Unknown Interdependencies for Decentralized Root Cause Analysis in Nonlinear Dynamical Systems
- Bridging Through Absence: How Comeback Researchers Bridge Knowledge Gaps Through Structural Re-emergence
- Learning in the Null Space: Small Singular Values for Continual Learning
- Scan Clusters, Not Pixels: A Cluster-Centric Paradigm for Efficient Ultra-high-definition Image Restoration
- Protein Graph Neural Networks for Heterogeneous Cryo-EM Reconstruction
- The Error of Deep Operator Networks Is the Sum of Its Parts: Branch-Trunk and Mode Error Decompositions
- TIRAuxCloud: A Thermal Infrared Dataset for Day and Night Cloud Detection
- UNet-Based Keypoint Regression for 3D Cone Localization in Autonomous Racing
- EndoDDC: Learning Sparse to Dense Reconstruction for Endoscopic Robotic Navigation via Diffusion Depth Completion
- 2-Step Agent: A Framework for the Interaction of a Decision Maker with AI Decision Support
- How to Take a Memorable Picture? Empowering Users with Actionable Feedback
- GFPL: Generative Federated Prototype Learning for Resource-Constrained and Data-Imbalanced Vision Task
- Personalized Graph-Empowered Large Language Model for Proactive Information Access
- Distill and Align Decomposition for Enhanced Claim Verification
- Understanding Annotation Error Propagation and Learning an Adaptive Policy for Expert Intervention in Barrett's Video Segmentation
- Meta-FC: Meta-Learning with Feature Consistency for Robust and Generalizable Watermarking
- Scalable Kernel-Based Distances for Statistical Inference and Integration
- xai-cola: A Python library for sparsifying counterfactual explanations
- JSAM: Privacy Straggler-Resilient Joint Client Selection and Incentive Mechanism Design in Differentially Private Federated Learning
- Resilient Federated Chain: Transforming Blockchain Consensus into an Active Defense Layer for Federated Learning
- UniVBench: Towards Unified Evaluation for Video Foundation Models
- StoryMovie: A Dataset for Semantic Alignment of Visual Stories with Movie Scripts and Subtitles
- DocDjinn: Controllable Synthetic Document Generation with VLMs and Handwriting Diffusion
- Joint Shadow Generation and Relighting via Light-Geometry Interaction Maps
- SemVideo: Reconstructs What You Watch from Brain Activity via Hierarchical Semantic Guidance
- SkyReels-V4: Multi-modal Video-Audio Generation, Inpainting and Editing model
- GeoMotion: Rethinking Motion Segmentation via Latent 4D Geometry
- An Evaluation of Context Length Extrapolation in Long Code via Positional Embeddings and Efficient Attention
- Neural Learning of Fast Matrix Multiplication Algorithms: A StrassenNet Approach
- Efficient Scaling of LLM Training with Flexible Context Parallelism
- Therapist-Robot-Patient Physical Interaction is Worth a Thousand Words: Enabling Intuitive Therapist Guidance via Remote Haptic Control
- From Statics to Dynamics: Physics-Aware Image Editing with Latent Transition Priors
- UniWhisper: Efficient Continual Multi-task Training for Robust Universal Audio Representation
- RAMSeS: Robust and Adaptive Model Selection for Time-Series Anomaly Detection Algorithms
- Improving Implicit Discourse Relation Recognition with Natural Language Explanations from LLMs
- SAPNet++: Evolving Point-Prompted Instance Segmentation with Semantic and Spatial Awareness
- Survey on Neural Routing Solvers
- Learning from Yesterday's Error: An Efficient Online Learning Method for Traffic Demand Prediction
- LiREC-Net: A Target-Free and Learning-Based Network for LiDAR, RGB, and Event Calibration
- From Words to Amino Acids: Does the Curse of Depth Persist?
- RABot: Reinforcement-Guided Graph Augmentation for Imbalanced and Noisy Social Bot Detection
- fEDM+: A Risk-Based Fuzzy Ethical Decision Making Framework with Principle-Level Explainability and Pluralistic Validation
- The ASIR Courage Model: A Phase-Dynamic Framework for Truth Transitions in Human and AI Systems
- Robust Long-Form Bangla Speech Processing: Automatic Speech Recognition and Speaker Diarization
- Structure-to-Image: Zero-Shot Depth Estimation in Colonoscopy via High-Fidelity Sim-to-Real Adaptation
- SigVLP: Sigmoid Volume-Language Pre-Training for Self-Supervised CT-Volume Adaptive Representation Learning
- Private and Robust Contribution Evaluation in Federated Learning
- C2TC: A Training-Free Framework for Efficient Tabular Data Condensation
- TranX-Adapter: Bridging Artifacts and Semantics within MLLMs for Robust AI-generated Image Detection
- Two-Stage Active Distribution Network Voltage Control via LLM-RL Collaboration: A Hybrid Knowledge-Data-Driven Approach
- Innovative Tooth Segmentation Using Hierarchical Features and Bidirectional Sequence Modeling
- Assessing airborne laser scanning and aerial photogrammetry for deep learning-based stand delineation
- Learning spatially adaptive sparsity level maps for arbitrary convolutional dictionaries
- Brain Tumor Segmentation with Special Emphasis on the Non-Enhancing Brain Tumor Compartment
- Learning Complex Physical Regimes via Coverage-oriented Uncertainty Quantification: An application to the Critical Heat Flux
- SF3D-RGB: Scene Flow Estimation from Monocular Camera and Sparse LiDAR
- Hierarchical Lead Critic based Multi-Agent Reinforcement Learning
- Trie-Aware Transformers for Generative Recommendation
- Error-awareness Accelerates Active Automata Learning
- Space-Time Forecasting of Dynamic Scenes with Motion-aware Gaussian Grouping
- Send Less, Perceive More: Masked Quantized Point Cloud Communication for Loss-Tolerant Collaborative Perception
- HybridINR-PCGC: Hybrid Lossless Point Cloud Geometry Compression Bridging Pretrained Model and Implicit Neural Representation
- Following the Diagnostic Trace: Visual Cognition-guided Cooperative Network for Chest X-Ray Diagnosis
- Sparsity Induction for Accurate Post-Training Pruning of Large Language Models
- Multimodal Survival Modeling and Fairness-Aware Clinical Machine Learning for 5-Year Breast Cancer Risk Prediction
- Mitigating Structural Noise in Low-Resource S2TT: An Optimized Cascaded Nepali-English Pipeline with Punctuation Restoration
- Lie Flow: Video Dynamic Fields Modeling and Predicting with Lie Algebra as Geometric Physics Principle
- Multi-dimensional Assessment and Explainable Feedback for Counselor Responses to Client Resistance in Text-based Counseling with LLMs
- CARE: A Molecular-Guided Foundation Model with Adaptive Region Modeling for Whole Slide Image Analysis
- Axial-Centric Cross-Plane Attention for 3D Medical Image Classification
- UniHand: A Unified Model for Diverse Controlled 4D Hand Motion Modeling
- Tokenizing Semantic Segmentation with Run Length Encoding
- Revisiting the Bertrand Paradox via Equilibrium Analysis of No-regret Learners
- Virtual Biopsy for Intracranial Tumors Diagnosis on MRI
- MixSarc: A Bangla-English Code-Mixed Corpus for Implicit Meaning Identification
- Deep Clustering based Boundary-Decoder Net for Inter and Intra Layer Stress Prediction of Heterogeneous Integrated IC Chip
- Iterative Closed-Loop Motion Synthesis for Scaling the Capabilities of Humanoid Control
- Retrieval Challenges in Low-Resource Public Service Information: A Case Study on Food Pantry Access
- SEF-MAP: Subspace-Decomposed Expert Fusion for Robust Multimodal HD Map Prediction
- ABM-UDE: Developing Surrogates for Epidemic Agent-Based Models via Scientific Machine Learning
- Exploring Human-Machine Coexistence in Symmetrical Reality
- MultiAnimate: Pose-Guided Image Animation Made Extensible
- Goodness-of-Fit Tests for Latent Class Models with Ordinal Categorical Data
- How many asymmetric communities are there in multi-layer directed networks?
- Routing by Reaching: Composition of Pre-trained GFlowNets for Multi-Objective Generation
- Power and Limitations of Aggregation in Compound AI Systems
- Generalizing Visual Geometry Priors to Sparse Gaussian Occupancy Prediction
- From Basis to Basis: Gaussian Particle Representation for Interpretable PDE Operators
- Extending Sequence Length is Not All You Need: Effective Integration of Multimodal Signals for Gene Expression Prediction
- MUON+: Towards More Effective Muon via One Additional Normalization Step for LLM Pre-training
- Enhancing Multilingual Embeddings via Multi-Way Parallel Text Alignment
- VasGuideNet: Vascular Topology-Guided Couinaud Liver Segmentation with Structural Contrastive Loss
- IHF-Harmony: Multi-Modality Magnetic Resonance Images Harmonization using Invertible Hierarchy Flow Model
- Pseudo-View Enhancement via Confidence Fusion for Unposed Sparse-View Reconstruction
- LiLo-VLA: Compositional Long-Horizon Manipulation via Linked Object-Centric Policies
- One Brain, Omni Modalities: Towards Unified Non-Invasive Brain Decoding with Large Language Models
- Fair Model-based Clustering
- WaterVIB: Learning Minimal Sufficient Watermark Representations via Variational Information Bottleneck
- AHAN: Asymmetric Hierarchical Attention Network for Identical Twin Face Verification
- A Researcher's Guide to Empirical Risk Minimization
- Easy3E: Feed-Forward 3D Asset Editing via Rectified Voxel Flow
- Learning Recursive Multi-Scale Representations for Irregular Multivariate Time Series Forecasting
- GradAlign: Gradient-Aligned Data Selection for LLM Reinforcement Learning
- Evaluating the Usage of African-American Vernacular English in Large Language Models
- Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning
- Perceptual Quality Optimization of Image Super-Resolution
- Global Sequential Testing for Multi-Stream Auditing
- Efficient Inference after Directionally Stable Adaptive Experiments
- A Knowledge-Driven Approach to Music Segmentation, Music Source Separation and Cinematic Audio Source Separation
- Automatic Map Density Selection for Locally-Performant Visual Place Recognition
- Unsupervised Discovery of Intermediate Phase Order in the Frustrated J1-J2 Heisenberg Model via Prometheus Framework
- Asymptotically Fast Clebsch-Gordan Tensor Products with Vector Spherical Harmonics
- iMiGUE-Speech: A Spontaneous Speech Dataset for Affective Analysis
- Effects of Training Data Quality on Classifier Performance
- VecGlypher: Unified Vector Glyph Generation with Language Models
- Revisiting Text Ranking in Deep Research
- When Learning Hurts: Fixed-Pole RNN for Real-Time Online Training
- Adversarial Robustness of Deep Learning-Based Thyroid Nodule Segmentation in Ultrasound