Papers
Thu 26 Feb 2026
455 papers
- Agentic Exploration of PDE Spaces using Latent Foundation Models for Parameterized SimulationsLLM agents and tool use → Web, search, and research agents
- Probing to Refine: Reinforcement Distillation of LLMs via Explanatory InversionLLM reasoning → Reinforcement learning for reasoning
- When the Pure Reasoner Meets the Impossible Object: Analytic vs. Synthetic Fine-Tuning and the Suppression of Genesis in Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Empirical Characterization of Inference-Time Elicited Probability Transformations in Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- NextMem: Towards Latent Factual Memory for LLM-based AgentsLLM agents and tool use → Agent memory systems
- SR-TTT Does Not Learn Retrieval: A Correction and Mechanistic Post-Mortem of Surprisal-Aware Residual Test-Time TrainingEfficient LLM inference and serving → KV cache optimization
- Hidden in the Metadata: Stealth Poisoning Attacks on Multimodal Retrieval-Augmented GenerationMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- LookWise: Knowing When and Where to Look for Fine-Grained Visual Reasoning in Multimodal Large Language ModelsLLM reasoning → Multimodal reasoning +1
- ConFoThinking: Consolidated Focused Attention Driven Thinking for Visual Question AnsweringLLM reasoning → Multimodal reasoning
- Rudder: Steering Prefetching in Distributed GNN Training using LLM AgentsLLM agents and tool use → Web, search, and research agents
- RT-NeuS: Towards Real-Time Neuro-Symbolic Video Understanding via Adaptive Temporal VerificationLLM reasoning → Multimodal reasoning
- All in One: Unifying Deepfake Detection, Tampering Localization, and Source Tracing with a Robust Landmark-Identity WatermarkLLM safety and security → Watermarking generated content and models
- TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous drivingEnd-to-end autonomous driving → End-to-end system architecture
- IDP Accelerator: Agentic Document Intelligence from Extraction to Compliance ValidationLLM agents and tool use → Web, search, and research agents
- Truncated Step-Level Sampling with Process Rewards for Retrieval-Augmented ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +1
- DesignSense: A Human Preference Dataset and Reward Modeling Framework for Graphic Layout GenerationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- U-CAN: Utility-Aware Contrastive Attenuation for Efficient Unlearning in Generative RecommendationLLM safety and security → Membership inference attacks
- MediX-R1: Open Ended Medical Reinforcement LearningMultimodal LLMs / vision-language models → Medical vision-language models +1
- Scale Can't Overcome Pragmatics: The Impact of Reporting Bias on Vision-Language ReasoningLLM reasoning → Multimodal reasoning +1
- Retrieve and Segment: Are a Few Examples Enough to Bridge the Supervision Gap in Open-Vocabulary Segmentation?Multimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Toward Expert Investment Teams:A Multi-Agent LLM System with Fine-Grained Trading TasksLLM agents and tool use → Financial trading and forecasting agents
- ThinkOmni: Lifting Textual Reasoning to Omni-modal Scenarios via Guidance DecodingLLM reasoning → Multimodal reasoning
- A Mixture-of-Experts Model for Multimodal Emotion Recognition in ConversationsMixture-of-experts → Multimodal MoE models
- Mollified Value LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- CXReasonAgent: Evidence-Grounded Diagnostic Reasoning Agent for Chest X-raysLLM reasoning → Clinical and biomedical applications
- Evaluating Stochasticity in Deep Research AgentsLLM agents and tool use → Web, search, and research agents
- Risk-Aware World Model Predictive Control for Generalizable End-to-End Autonomous DrivingWorld models → World models for autonomous driving +2
- A Model-Free Universal AIDeep reinforcement learning methods → RL theory and sample complexity
- Agency and Architectural Limits: Why Optimization-Based Systems Cannot Be Norm-ResponsiveLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Spatio-Temporal Token Pruning for Efficient High-Resolution GUI AgentsEfficient LLM inference and serving → Visual token pruning in multimodal models
- Large Multimodal Models as General In-Context ClassifiersMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Why Diffusion Language Models Struggle with Truly Parallel (Non-Autoregressive) Decoding?LLM reasoning → Diffusion reasoning and test-time scaling +2
- Plug-and-Play Diffusion Meets ADMM: Dual-Variable Coupling for Robust Medical Image ReconstructionDiffusion models → Inverse problems and image restoration
- InnerQ: Hardware-Aware Tuning-Free Quantization of KV Cache for Large Language ModelsEfficient LLM inference and serving → KV cache quantization
- SC-Arena: A Natural Language Benchmark for Single-Cell Reasoning with Knowledge-Augmented EvaluationLLM reasoning → Clinical and biomedical applications
- ESAA: Event Sourcing for Autonomous Agents in LLM-Based Software EngineeringLLM agents and tool use → Agent threats, guardrails and governance
- Uni-Animator: Towards Unified Visual ColorizationDiffusion models → Image generation, text-to-image and editing
- MTRAG-UN: A Benchmark for Open Challenges in Multi-Turn RAG ConversationsRetrieval-augmented generation → Conversational and speech RAG
- DyaDiT: A Multi-Modal Diffusion Transformer for Socially Favorable Dyadic Gesture GenerationDiffusion models → Audio, speech and music
- MetaOthello: A Controlled Study of Multiple World Models in TransformersWorld models → World models for language agents +1
- PATRA: Pattern-Aware Alignment and Balanced Reasoning for Time Series Question AnsweringLLM reasoning → Time series reasoning
- Efficient Encoder-Free Fourier-based 3D Large Multimodal ModelMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- The Trinity of Consistency as a Defining Principle for General World ModelsWorld models → World models for language agents
- Modality Collapse as Mismatched Decoding: Information-Theoretic Limits of Multimodal LLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Provably Efficient Regularized Online RLHF with Generalized Bilinear PreferencesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- SpectralMamba-UNet: Frequency-Disentangled State Space Modeling for Texture-Structure Consistent Medical Image SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Three AI-agents walk into a bar . . . . `Lord of the Flies' tribalism emerges among smart AI-AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Cytoarchitecture in Words: Weakly Supervised Vision-Language Modeling for Human Brain MicroscopyMultimodal LLMs / vision-language models → Medical vision-language models
- Assessing Deanonymization Risks with Stylometry-Assisted LLM AgentLLM agents and tool use → Agent threats, guardrails and governance
- CiteLLM: An Agentic Platform for Trustworthy Scientific Reference DiscoveryLLM agents and tool use → Web, search, and research agents
- GeoWorld: Geometric World ModelsWorld models → Latent predictive world models
- LLMServingSim 2.0: A Unified Simulator for Heterogeneous and Disaggregated LLM Serving InfrastructureEfficient LLM inference and serving → Serving systems and request scheduling
- DMAligner: Enhancing Image Alignment via Diffusion Model Based View SynthesisDiffusion models → Diffusion foundations and sampling
- Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy OptimizationLLM agents and tool use → Agent memory systems
- Managing Uncertainty in LLM-based Multi-Agent System OperationLLM agents and tool use → Medical and scientific domain agents
- Obscure but Effective: Classical Chinese Jailbreak Prompt Optimization via Bio-Inspired SearchLLM safety and security → Jailbreaking
- SPM-Bench: Benchmarking Large Language Models for Scanning Probe MicroscopyLLM reasoning → Multimodal reasoning
- Certified Circuits: Stability Guarantees for Mechanistic CircuitsMechanistic interpretability → Circuits and mechanistic analysis
- FactGuard: Agentic Video Misinformation Detection via Reinforcement LearningLLM reasoning → Multimodal reasoning +2
- UCM: Unified Modeling of Camera Control and Memory with Time-aware Positional Encoding Warping for World ModelsWorld models → Video-generation world models and simulators
- Can Agents Distinguish Visually Hard-to-Separate Diseases in a Zero-Shot Setting? A Pilot StudyMultimodal LLMs / vision-language models → Medical vision-language models +1
- General Agent EvaluationLLM agents and tool use → General LLM agent frameworks and benchmarks
- ClawMobile: Rethinking Smartphone-Native Agentic SystemsLLM reasoning → Reasoning for agents, planning and code +1
- MSJoE: Jointly Evolving MLLM and Sampler for Efficient Long-Form Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Where Vision Becomes Text: Locating the OCR Routing Bottleneck in Vision-Language ModelsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- OmniGAIA: Towards Native Omni-Modal AI AgentsLLM agents and tool use → Multimodal and embodied agents
- DySL-VLA: Efficient Vision-Language-Action Model Inference via Dynamic-Static Layer-Skipping for Robot ManipulationLLM reasoning → Spatial and embodied reasoning +1
- Test-Time Scaling with Diffusion Language Models via Reward-Guided StitchingLLM reasoning → Diffusion reasoning and test-time scaling +2
- Rejection Mixing: Fast Semantic Propagation of Mask Tokens for Efficient DLLM InferenceEfficient LLM inference and serving → Diffusion LLM and MoE inference
- GraspLDP: Towards Generalizable Grasping Policy via Latent DiffusionDiffusion models → Diffusion and flow policies for robotics +1
- From Blind Spots to Gains: Diagnostic-Driven Iterative Training for Large Multimodal ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- DeepPresenter: Environment-Grounded Reflection for Agentic Presentation GenerationLLM agents and tool use → Multimodal and embodied agents
- TCM-DiffRAG: Personalized Syndrome Differentiation Reasoning Method for Traditional Chinese Medicine based on Knowledge Graph and Chain of ThoughtLLM reasoning → Clinical and biomedical applications +1
- Hierarchy-of-Groups Policy Optimization for Long-Horizon Agentic TasksLLM reasoning → Reinforcement learning for reasoning +1
- When Should an AI Act? A Human-Centered Model of Scene, Context, and Behavior for Agentic AI DesignLLM agents and tool use → General LLM agent frameworks and benchmarks
- Multi-agent imitation learning with function approximation: Linear Markov games and beyondOffline RL and imitation learning from data → Imitation learning methods
- MiroFlow: Towards High-Performance and Robust Open-Source Agent Framework for General Deep Research TasksLLM agents and tool use → Web, search, and research agents
- Unleashing the Potential of Diffusion Models for End-to-End Autonomous DrivingDiffusion models → Diffusion and flow policies for robotics +1
- SceneTransporter: Optimal Transport-Guided Compositional Latent Diffusion for Single-Image Structured 3D Scene GenerationDiffusion models → 3D, point cloud and scene generation
- Transformer Actor-Critic for Efficient Freshness-Aware Resource AllocationDeep reinforcement learning methods → RL for energy, networks and operations
- AMA-Bench: Evaluating Long-Horizon Memory for Agentic ApplicationsLLM agents and tool use → Agent memory systems
- Imagination Helps Visual Reasoning, But Not Yet in Latent SpaceLLM reasoning → Multimodal reasoning +1
- Towards Better RL Training Data Utilization via Second-Order RolloutLLM reasoning → Reinforcement learning for reasoning
- Evaluating and Improving Automated Repository-Level Rust Issue Resolution with LLM-based AgentsLLM agents and tool use → Software engineering coding agents
- Beyond Detection: Multi-Scale Hidden-Code for Natural Image Deepfake Recovery and Factual RetrievalLLM safety and security → Watermarking generated content and models
- Know What You Know: Metacognitive Entropy Calibration for Verifiable RL ReasoningLLM reasoning → Reinforcement learning for reasoning
- SPATIALALIGN: Aligning Dynamic Spatial Relationships in Video GenerationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- ProjFlow: Projection Sampling with Flow Matching for Zero-Shot Exact Spatial Motion ControlDiffusion models → Diffusion and flow policies for robotics
- HulluEdit: Single-Pass Evidence-Consistent Subspace Editing for Mitigating Hallucinations in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- AgentSentry: Mitigating Indirect Prompt Injection in LLM Agents via Temporal Causal Diagnostics and Context PurificationLLM agents and tool use → Agent threats, guardrails and governance +1
- Interpreting and Steering State-Space Models via Activation Subspace BottlenecksState-space sequence models (S4, Mamba) → Core SSM architectures for language
- RLHFless: Serverless Computing for Efficient RLHFLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- IRSDE-Despeckle: A Physics-Grounded Diffusion Model for Generalizable Ultrasound DespecklingDiffusion models → Medical imaging and segmentation
- SoPE: Spherical Coordinate-Based Positional Embedding for Enhancing Spatial Perception of 3D LVLMsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Enhancing Geometric Perception in VLMs via Translator-Guided Reinforcement LearningLLM reasoning → Spatial and embodied reasoning +1
- Reinforcing Real-world Service Agents: Balancing Utility and Cost in Task-oriented DialogueLLM agents and tool use → Reinforcement learning for LLM agents
- No Caption, No Problem: Caption-Free Membership Inference via Model-Fitted EmbeddingsDiffusion models → Robustness, privacy and adversarial aspects +1
- Switch-Hurdle: A MoE Encoder with AR Hurdle Decoder for Intermittent Demand ForecastingMixture-of-experts → MoE for time series and graphs
- SUPERGLASSES: Benchmarking Vision Language Models as Intelligent Agents for AI Smart GlassesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- Toward Personalized LLM-Powered Agents: Foundations, Evaluation, and Future DirectionsLLM agents and tool use → General LLM agent frameworks and benchmarks
All 455
- ViCLIP-OT: The First Foundation Vision-Language Model for Vietnamese Image-Text Retrieval with Optimal TransportMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Search More, Think Less: Rethinking Long-Horizon Agentic Search for Efficiency and GeneralizationLLM agents and tool use → Web, search, and research agents
- Rethinking the Practicality of Vision-language-action Model: A Comprehensive Benchmark and An Improved BaselineVision-language-action models → Generalist VLA models and benchmarks
- dLLM: Simple Diffusion Language ModelingDiffusion models → Discrete and text diffusion
- Denoising as Path Planning: Training-Free Acceleration of Diffusion Models with DPCacheDiffusion models → Diffusion foundations and sampling
- AHBid: An Adaptable Hierarchical Bidding Framework for Cross-Channel AdvertisingDeep reinforcement learning methods → RL theory and sample complexity
- Compress the Easy, Explore the Hard: Difficulty-Aware Entropy Regularization for Efficient LLM ReasoningLLM reasoning → Test-time compute and efficient thinking
- MobilityBench: A Benchmark for Evaluating Route-Planning Agents in Real-World Mobility ScenariosLLM agents and tool use → Multimodal and embodied agents
- Instruction-based Image Editing with Planning, Reasoning, and GenerationLLM reasoning → Multimodal reasoning
- ContextRL: Enhancing MLLM's Knowledge Discovery Efficiency with Context-Augmented RLLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- Spectrally Distilled Representations Aligned with Instruction-Augmented LLMs for Satellite ImageryMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Mitigating Membership Inference in Intermediate Representations with Differentially Private TrainingLLM safety and security → Membership inference attacks
- DP-aware AdaLN-Zero: Taming Conditioning-Induced Heavy-Tailed Gradients in Differentially Private DiffusionDiffusion models → Diffusion foundations and sampling
- EvolveGen: Algorithmic Level Hardware Model Checking Benchmark Generation through Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- SideQuest: Model-Driven KV Cache Management for Long-Horizon Agentic ReasoningLLM reasoning → Test-time compute and efficient thinking +2
- φ-DPO: Fairness Direct Preference Optimization Approach to Continual Learning in Large Multimodal ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP +1
- BetterScene: 3D Scene Synthesis with Representation-Aligned Generative ModelDiffusion models → 3D, point cloud and scene generation
- Causal Motion Diffusion Models for Autoregressive Motion GenerationDiffusion models → Video generation
- FLYING SERVING: On-the-Fly Parallelism Switching for Large Language Model ServingEfficient LLM inference and serving → Serving systems and request scheduling
- TabDLM: Free-Form Tabular Data Generation via Joint Numerical-Language DiffusionDiffusion models → Flow matching, time series and science
- Strategy Executability in Mathematical Reasoning: Leveraging Human-Model Differences for Effective GuidanceLLM reasoning → Mathematical reasoning
- IBCircuit: Towards Holistic Circuit Discovery with Information BottleneckMechanistic interpretability → Circuits and mechanistic analysis
- Metamorphic Testing of Vision-Language Action-Enabled RobotsVision-language-action models → Generalist VLA models and benchmarks
- Gradient Dominance in the Linear Quadratic Regulator: A Unified Analysis for Continuous-Time and Discrete-Time SystemsDeep reinforcement learning methods → RL for games and combinatorial optimization
- Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG TrainingRetrieval-augmented generation → Agentic RAG, agents and memory +1
- Guidance Matters: Rethinking the Evaluation Pitfall for Text-to-Image GenerationDiffusion models → Diffusion foundations and sampling
- Layer-Targeted Multilingual Knowledge Erasure in Large Language ModelsLLM safety and security → Machine unlearning
- CourtGuard: A Model-Agnostic Framework for Zero-Shot Policy Adaptation in LLM SafetyLLM safety and security → Safety alignment, refusal and guardrails
- Stable Adaptive Thinking via Advantage Shaping and Length-Aware Gradient RegulationLLM reasoning → Test-time compute and efficient thinking
- Multilingual Safety Alignment Via Sparse Weight EditingLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- DrivePTS: A Progressive Learning Framework with Textual and Structural Enhancement for Driving Scene GenerationEnd-to-end autonomous driving → Generative simulation for driving
- Requesting Expert Reasoning: Augmenting LLM Agents with Learned Collaborative InterventionLLM reasoning → Reasoning for agents, planning and code +1
- Agentic AI for Intent-driven Optimization in Cell-free O-RANLLM agents and tool use → Agentic AI for wireless networks
- RAIN-Merging: A Gradient-Free Method to Enhance Instruction Following in Large Reasoning Models with Preserved Thinking FormatLLM reasoning → Test-time compute and efficient thinking
- Generative Agents Navigating Digital LibrariesLLM agents and tool use → Web, search, and research agents
- Cognitive Models and AI Algorithms Provide Templates for Designing Language AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- RepoMod-Bench: A Benchmark for Code Repository Modernization via Implementation-Agnostic TestingLLM agents and tool use → Software engineering coding agents
- SignVLA: A Gloss-Free Vision-Language-Action Framework for Real-Time Sign Language-Guided Robotic ManipulationVision-language-action models → Generalist VLA models and benchmarks
- Metacognitive Behavioral Tuning of Large Language Models for Multi-Hop Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
- Sharp Convergence Rates for Masked Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Reinforcement-aware Knowledge Distillation for LLM ReasoningLLM reasoning → Prompting and chain-of-thought reasoning +1
- Measuring Research Convergence in Interdisciplinary Teams Using Large Language Models and Graph Analytics
- Generative Active Testing: Efficient LLM Evaluation via Proxy Task Adaptation
- How Motivation Relates to Generative AI Use: A Large-Scale Survey of Mexican High School Students
- Significance-Gain Pair Encoding for LLMs: A Statistical Alternative to Frequency-Based Subword Merging
- HATL: Hierarchical Adaptive-Transfer Learning Framework for Sign Language Machine Translation
- Breeze Taigi: Benchmarks and Models for Taiwanese Hokkien Speech Recognition and Synthesis
- MAPLE: Metadata Augmented Private Language Evolution
- Constraint-aware Path Planning from Natural Language Instructions Using Large Language Models
- Quality Assessment of Public Summary of Training Content for GPAI models required by AI Act Article 53(1)(d)
- GenAI Integration into Engineering Education: A Case Study of an Introductory Undergraduate Engineering Course
- A Survey on Quantitative Modeling of Trust in Online Social Networks
- The DMA Streaming Framework: Kernel-Level Buffer Orchestration for High-Performance AI Data Paths
- The AetherFloat Family: Block-Scale-Free Quad-Radix Floating-Point Architectures for AI Accelerators
- Quantum Deep Learning: A Comprehensive Review
- MPBMC: Multi-Property Bounded Model Checking with GNN-guided Clustering
- An Explainable Ensemble Framework for Alzheimer's Disease Prediction Using Structured Clinical and Cognitive Data
- SkillNet: Create, Evaluate, and Connect AI Skills
- Perfect score on IPhO 2025 theory by Gemini agent
- Automated Measurement of Geniohyoid Muscle Thickness During Speech Using Deep Learning and Ultrasound
- RLShield: Practical Multi-Agent RL for Financial Cyber Defense with Attack-Surface MDPs and Real-Time Response Orchestration
- ThreatFormer-IDS: Robust Transformer Intrusion Detection with Zero-Day Generalization and Explainable Attribution
- Zero-Shot and Supervised Bird Image Segmentation Using Foundation Models: A Dual-Pipeline Approach with Grounding DINO~1.5, YOLOv11, and SAM~2.1
- Test Case Prioritization: A Snowballing Literature Review and TCPFramework with Approach Combinators
- Embedding Morphology into Transformers for Cross-Robot Policy Learning
- Engineering FAIR Privacy-preserving Applications that Learn Histories of Disease
- NNiT: Width-Agnostic Neural Network Generation with Structurally Aligned Weight Spaces
- Detecting Cognitive Signatures in Typing Behavior for Non-Intrusive Authorship Verification
- Bridging Policy and Real-World Dynamics: LLM-Augmented Rebalancing for Shared Micromobility Systems
- Self-Attention And Beyond the Infinite: Towards Linear Transformers with Infinite Self-Attention
- Automated Discovery of Improved Constant Weight Binary Codes
- Summer-22B: A Systematic Approach to Dataset Engineering and Training at Scale for Video Foundation Model
- A Novel Evolutionary Method for Automated Skull-Face Overlay in Computer-Aided Craniofacial Superimposition
- Image-Based Classification of Olive Species Specific to Turkiye with Deep Neural Networks
- Exploring the AI Obedience: Why is Generating a Pure Color Image Harder than CyberPunk?
- Reverse CAPTCHA: Evaluating LLM Susceptibility to Invisible Unicode Instruction Injection
- A Boundary-Metric Evaluation Protocol for Whiteboard Stroke Segmentation Under Extreme Imbalance
- GazeXPErT: An Expert Eye-tracking Dataset for Interpretable and Explainable AI in Oncologic FDG-PET/CT Scans
- SKINOPATHY AI: Smartphone-Based Ophthalmic Screening and Longitudinal Tracking Using Lightweight Computer Vision
- Hierarchical Multi-Scale Graph Learning with Knowledge-Guided Attention for Whole-Slide Image Survival Analysis
- France or Spain or Germany or France: A Neural Account of Non-Redundant Redundant Disjunctions
- Humans and LLMs Diverge on Probabilistic Inferences
- Planning under Distribution Shifts with Causal POMDPs
- Synthetic Visual Genome 2: Extracting Large-scale Spatio-Temporal Scene Graphs from Videos
- Causal Identification from Counterfactual Data: Completeness and Bounding Results
- Component Centric Placement Using Deep Reinforcement Learning
- Automated Dose-Based Anatomic Region Classification of Radiotherapy Treatment for Big Data Applications
- Partition Function Estimation under Bounded f-Divergence
- Few-Shot Continual Learning for 3D Brain MRI with Frozen Foundation Models
- Active Value Querying to Minimize Additive Error in Subadditive Set Function Learning
- Neural Operators Can Discover Functional Clusters
- V-MORALS: Visual Morse Graph-Aided Estimation of Regions of Attraction in a Learned Latent Space
- Uncovering Physical Drivers of Dark Matter Halo Structures with Auxiliary-Variable-Guided Generative Models
- Lap2: Revisiting Laplace DP-SGD for High Dimensions via Majorization Theory
- Modelling and Simulation of Neuromorphic Datasets for Anomaly Detection in Computer Vision
- SegReg: Latent Space Regularization for Improved Medical Image Segmentation
- Sample Size Calculations for Developing Clinical Prediction Models: Overview and pmsims R package
- FedDAG: Clustered Federated Learning via Global Data and Gradient Integration for Heterogeneous Environments
- Spiky Rank and Its Applications to Rigidity and Circuits
- SGDC: Structurally-Guided Dynamic Convolution for Medical Image Segmentation
- Uncertainty-aware Language Guidance for Concept Bottleneck Models
- FHIRPath-QA: Executable Question Answering over FHIR Electronic Health Records
- Cross-Representation Knowledge Transfer for Improved Sequential Recommendations
- Optimization of Edge Directions and Weights for Mixed Guidance Graphs in Lifelong Multi-Agent Path Finding
- On the Limits of Interpretable Machine Learning in Quintic Root Classification
- Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks
- Global Interpretability via Automated Preprocessing: A Framework Inspired by Psychiatric Questionnaires
- BiKA: Kolmogorov-Arnold-Network-inspired Ultra Lightweight Neural Network Hardware Accelerator
- CiteAudit: You Cited It, But Did You Read It? A Benchmark for Verifying Scientific References in the LLM Era
- Multiprojective Geometry of Compatible Triples of Fundamental and Essential Matrices
- SALIENT: Frequency-Aware Paired Diffusion for Controllable Long-Tail CT Detection
- Human Supervision as an Information Bottleneck: A Unified Theory of Error Floors in Human-Guided Learning
- EvoX: Meta-Evolution for Automated Discovery
- Brain-OF: An Omnifunctional Foundation Model for fMRI, EEG and MEG
- Long Range Frequency Tuning for QML
- Demystifying Action Space Design for Robotic Manipulation Policies
- Learning to Generate Secure Code via Token-Level Rewards
- Isotropic Activation Functions Enable Deindividuated Neurons and Adaptive Topologies
- Complex Networks and the Drug Repositioning Problem
- VGG-T3: Offline Feed-Forward 3D Reconstruction at Scale
- Model Agreement via Anchoring
- SeeThrough3D: Occlusion Aware 3D Control in Text-to-Image Generation
- A Dataset is Worth 1 MB
- Sensor Generalization for Adaptive Sensing in Event-based Object Detection via Joint Distribution Training
- SOTAlign: Semi-Supervised Alignment of Unimodal Vision and Language Models via Optimal Transport
- FlashOptim: Optimizers for Memory-Efficient Training
- Mean Estimation from Coarse Data: Characterizations and Efficient Algorithms
- Differentiable Zero-One Loss via Hypersimplex Projections
- Understanding Usage and Engagement in AI-Powered Scientific Research Tools: The Asta Interaction Dataset
- Bitwise Systolic Array Architecture for Runtime-Reconfigurable Multi-precision Quantized Multiplication on Hardware Accelerators
- Utilizing LLMs for Industrial Process Automation
- LLM Novice Uplift on Dual-Use, In Silico Biology Tasks
- Reconstruction of cosmic-ray direction and energy in radio arrays using deep ensemble graph neural networks
- ParamMem: Augmenting Language Agents with Parametric Reflective Memory
- Generalized Rapid Action Value Estimation in Memory-Constrained Environments
- Invariant Transformation and Resampling based Epistemic-Uncertainty Reduction
- Evaluating Zero-Shot and One-Shot Adaptation of Small Language Models in Leader-Follower Interaction
- A Proper Scoring Rule for Virtual Staining
- Inferential Mechanics Part 1: Causal Mechanistic Theories of Machine Learning in Chemical Biology with Implications
- The logic of KM belief update is contained in the logic of AGM belief revision
- PRIMA: Pre-Training with Risk-Integrated Image--Metadata Alignment for Medical Diagnosis with LLM-Based Feature Aggregation
- Conformalized Neural Networks for Federated Uncertainty Quantification under Dual Heterogeneity
- ManifoldGD: Training-Free Hierarchical Manifold Guidance for Diffusion-Based Dataset Distillation
- Towards Long-Form Spatio-Temporal Video Grounding
- PGVMS: A Prompt-Guided Unified Framework for Virtual Multiplex IHC Staining with Pathological Semantic Learning
- LineGraph2Road: Structural Graph Reasoning on Line Graphs for Road Network Extraction
- SPARTA: Scalable and Principled Benchmark of Tree-Structured Multi-hop QA over Text and Tables
- ODEBrain: Continuous-Time EEG Graph for Modeling Dynamic Brain Networks
- Zeroth-Order Stackelberg Control in Combinatorial Congestion Games
- Discourse-Aware Dual-Track Streaming Response for Low-Latency Spoken Dialogue Systems
- Decomposing Private Image Generation via Coarse-to-Fine Wavelet Modeling
- MASRubric: Auditing Information Flow in Multi-Agent Systems with Failure-Distilled Pitfall Rubrics
- Mitigating Legibility Tax with Decoupled Prover-Verifier Games
- Scaling Search Relevance: Augmenting App Store Ranking with LLM-Generated Judgments
- ReCoN-Ipsundrum: An Inspectable Recurrent Persistence Loop Agent with Affect-Coupled Control and Mechanism-Linked Consciousness Indicator Assays
- Skarimva: Skeleton-based Action Recognition is a Multi-view Application
- MovieTeller: Tool-augmented Movie Synopsis with ID Consistent Progressive Abstraction
- UniScale: Unified Scale-Aware 3D Reconstruction for Multi-View Understanding via Prior Injection for Robotic Perception
- Takeuchi's Information Criteria as Generalization Measures for DNNs Close to NTK Regime
- Multidimensional Task Learning: A Unified Tensor Framework for Computer Vision Tasks
- Through BrokenEyes: How Eye Disorders Impact Face Detection?
- EmbodMocap: In-the-Wild 4D Human-Scene Reconstruction for Embodied Agents
- Motion-aware Event Suppression for Event Cameras
- ColoDiff: Integrating Dynamic Consistency With Content Awareness for Colonoscopy Video Generation
- Tell Me What To Learn: Generalizing Neural Memory to be Controllable in Natural Language
- Fine-Tuning Without Forgetting In-Context Learning: A Theoretical Analysis of Linear Attention Models
- FairQuant: Fairness-Aware Mixed-Precision Quantization for Medical Image Classification
- Efficient Adaptation of ROMs for Unsteady Flows Using Data Assimilation
- Closing the gap on tabular data with Fourier and Implicit Categorical Features
- Induction Meets Biology: Mechanisms of Repeat Detection in Protein Language Models
- Phys-3D: Physics-Constrained Real-Time Crowd Tracking and Counting on Railway Platforms
- Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking
- Learning Continuous Wasserstein Barycenter Space for Generalized All-in-One Image Restoration
- SettleFL: Trustless and Scalable Reward Settlement Protocol for Federated Learning on Permissionless Blockchains (Extended version)
- AgentVista: Evaluating Multimodal Agents in Ultra-Challenging Realistic Visual Scenarios
- A Decision-Theoretic Formalisation of Steganography With Applications to LLM Monitoring
- Benchmarking Temporal Web3 Intelligence: Lessons from the FinSurvival 2025 Challenge
- On Sample-Efficient Generalized Planning via Learned Transition Models
- Partial recovery of meter-scale surface weather
- Prediction of Diffusion Coefficients in Mixtures with Tensor Completion
- No Labels, No Look-Ahead: Unsupervised Online Video Stabilization with Classical Priors
- An Analysis of Role Semantics in Directed Dynamic Graph Modeling for Edge Classification
- From Calibration to Refinement: Seeking Certainty via Probabilistic Evidence Propagation for Noisy-Label Person Re-Identification
- From Agnostic to Specific: Latent Preference Diffusion for Multi-Behavior Sequential Recommendation
- Bound to Disagree: Generalization Bounds via Certifiable Surrogates
- Multi-Agent Large Language Model Based Emotional Detoxification Through Personalized Intensity Control for Consumer Protection
- Automated Vulnerability Detection in Source Code Using Deep Representation Learning
- TriLite: Efficient Weakly Supervised Object Localization with Universal Visual Features and Tri-Region Disentanglement
- Devling into Adversarial Transferability on Image Classification: Review, Benchmark, and Evaluation
- FLIGHT: Fibonacci Lattice-based Inference for Geometric Heading in real-Time
- WARM-CAT: Warm-Started Test-Time Comprehensive Knowledge Accumulation for Compositional Zero-Shot Learning
- Learning Physical Operators using Neural Operators
- PRAC: Principal-Random Subspace for LLM Activation Compression and Memory-Efficient Training
- Locally Adaptive Decay Surfaces for High-Speed Face and Landmark Detection with Event Cameras
- Enhancing CVRP Solver through LLM-driven Automatic Heuristic Design
- Physics-informed neural particle flow for the Bayesian update step
- Q-Tag: Watermarking Quantum Circuit Generative Models
- Accelerated Online Risk-Averse Policy Evaluation in POMDPs with Theoretical Guarantees and Novel CVaR Bounds
- Quantity Convergence, Quality Divergence: Disentangling Fluency and Accuracy in L2 Mandarin Prosody
- Make It Hard to Hear, Easy to Learn: Long-Form Bengali ASR and Speaker Diarization via Extreme Augmentation and Perfect Alignment
- Align then Adapt: Rethinking Parameter-Efficient Transfer Learning in 4D Perception
- Toward Automatic Filling of Case Report Forms: A Case Study on Data from an Italian Emergency Department
- MoDora: Tree-Based Semi-Structured Document Analysis System
- RhythmBERT: A Self-Supervised Language Model Based on Latent Representations of ECG Waveforms for Heart Disease Detection
- Affine-Scaled Attention: Towards Flexible and Stable Transformer Attention
- Learning-based Multi-agent Race Strategies in Formula 1
- Latent Matters: Learning Deep State-Space Models
- D-FINE-seg: Object Detection and Instance Segmentation Framework with multi-backend deployment
- PackUV: Packed Gaussian UV Maps for 4D Volumetric Video
- Learning Disease-Sensitive Latent Interaction Graphs From Noisy Cardiac Flow Measurements
- Small Object Detection Model with Spatial Laplacian Pyramid Attention and Multi-Scale Features Enhancement in Aerial Images
- WISER: Wider Search, Deeper Thinking, and Adaptive Fusion for Training-Free Zero-Shot Composed Image Retrieval
- Low-degree Lower bounds for clustering in moderate dimension
- SubspaceAD: Training-Free Few-Shot Anomaly Detection via Subspace Modeling
- RQ-Reg: A Residual-Quantization-Based Framework for Continuous Value Prediction in Recommender Systems
- Helmlab: A Two-Space Family of Analytical, Data-Driven Color Spaces for UI Design Systems
- Regular Fourier Features for Nonstationary Gaussian Processes
- Scattering Transform for Auditory Attention Decoding
- Residual Koopman Spectral Profiling for Predicting and Preventing Transformer Training Instability
- Kernel Integrated R2: A Measure of Dependence
- RepSPD: Enhancing SPD Manifold Representation in EEGs via Dynamic Graphs
- An automatic counting algorithm for the quantification and uncertainty analysis of the number of microglial cells trainable in small and heterogeneous datasets
- Modeling Expert AI Diagnostic Alignment via Immutable Inference Snapshots
- Discovery of Interpretable Physical Laws in Materials via Language-Model-Guided Symbolic Regression
- A note on the area under the likelihood and the fake evidence for model selection
- Scaling Laws of Global Weather Models
- Frequency-Ordered Tokenization for Better Text Compression
- MM-NeuroOnco: A Multimodal Benchmark and Instruction Dataset for MRI-Based Brain Tumor Diagnosis
- Effective sample size approximations as entropy measures
- OpenFS: Multi-Hand-Capable Fingerspelling Recognition with Implicit Signing-Hand Detection and Frame-Wise Letter-Conditioned Synthesis
- ToProVAR: Efficient Visual Autoregressive Modeling via Tri-Dimensional Entropy-Aware Semantic Analysis and Sparsity Optimization
- Velocity and stroke rate reconstruction of canoe sprint team boats based on panned and zoomed video recordings
- pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation
- MSINO: Curvature-Aware Sobolev Optimization for Manifold Neural Networks
- Generalization Bounds of Stochastic Gradient Descent in Homogeneous Neural Networks
- A Holistic Framework for Robust Bangla ASR and Speaker Diarization with Optimized VAD and CTC Alignment
- Beyond NNGP: Large Deviations and Feature Learning in Bayesian Neural Networks
- WaterVideoQA: ASV-Centric Perception and Rule-Compliant Reasoning via Multi-Modal Agents
- OSDaR-AR: Enhancing Railway Perception Datasets via Multi-modal Augmented Reality
- Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor
- Towards Multimodal Domain Generalization with Few Labels
- SIGMA: A Semantic-Grounded Instruction-Driven Generative Multi-Task Recommender at AliExpress
- CeRA: Breaking the Linear Ceiling of Low-Rank Adaptation with Non-linearity Retained at Inference
- PSQE: A Theoretical-Practical Approach to Pseudo Seed Quality Enhancement for Unsupervised Multimodal Entity Alignment
- A Data-Driven Approach to Support Clinical Renal Replacement Therapy
- SPD Learn: A Geometric Deep Learning Python Library for Neural Decoding Through Trivialization
- Unsupervised Continual Learning for Amortized Bayesian Inference
- Fair feature attribution for multi-output prediction: a Shapley-based perspective
- Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space
- Learning Tangent Bundles and Characteristic Classes with Autoencoder Atlases
- SO3UFormer: Learning Intrinsic Spherical Features for Rotation-Robust Panoramic Dense Prediction
- Effective QA-driven Annotation of Predicate-Argument Relations Across Languages
- MEDNA-DFM: A Dual-View FiLM-MoE Model for Explainable DNA Methylation Prediction
- Decentralized Ranking Aggregation via Gossip: Convergence and Robustness
- Improving Neural Argumentative Stance Classification in Controversial Topics with Emotion-Lexicon Features
- A data- and compute-efficient chest X-ray foundation model beyond aggressive scaling
- The AI Research Assistant: Promise, Peril, and a Proof of Concept
- Direction-Flipped Influence Audits Reveal Hidden Structure in Moral Choices of LLMs
- Reflectance Multispectral Imaging for Soil Composition Estimation and USDA Texture Classification
- TARAZ: Persian Short-Answer Question Benchmark for Cultural Evaluation of Language Models
- Hypernetwork-based approach for grid-independent functional data clustering
- FlexMS: A Unified Public Benchmark for Molecule Tandem Mass Spectrum Prediction
- CMSA-Net: Causal Multi-scale Aggregation with Adaptive Multi-source Reference for Video Polyp Segmentation
- Face Time Traveller : Travel Through Ages Without Losing Identity
- Accelerating Local LLMs on Resource-Constrained Edge Devices via Distributed Prompt Caching
- PhotoAgent: Exploratory Visual Aesthetic Planning with Large Vision Models
- GSTurb: Gaussian Splatting for Atmospheric Turbulence Mitigation
- Doubly Adaptive Channel and Spatial Attention for Semantic Image Communication by IoT Devices
- Robust Human Trajectory Prediction via Self-Supervised Skeleton Representation Learning
- Natural Language Declarative Prompting (NLD-P): A Modular Governance Method for Prompt Design Under Model Drift
- Probing for Knowledge Attribution in Large Language Models
- QSIM: Mitigating Overestimation in Multi-Agent Reinforcement Learning via Action Similarity Weighted Q-Learning
- TrajTok: Learning Trajectory Tokens enables better Video Understanding
- KMLP: A Scalable Hybrid Architecture for Web-Scale Tabular Data Modeling
- TherapyProbe: Generating Design Knowledge for Relational Safety in Mental Health Chatbots Through Adversarial Simulation
- ClinDet-Bench: Beyond Abstention, Evaluating Judgment Determinability of LLMs in Clinical Decision-Making
- Distributed LLM Pretraining During Renewable Curtailment Windows: A Feasibility Study
- Decomposing Physician Disagreement in HealthBench
- AuditBench: Evaluating Alignment Auditing Techniques on Models with Hidden Behaviors
- Towards Simulating Social Media Users with LLMs: Evaluating the Operational Validity of Conditioned Comment Prediction
- Set-based v.s. Distribution-based Representations of Epistemic Uncertainty: A Comparative Study
- Generative Data Transformation: From Mixed to Unified Data
- AMLRIS: Alignment-aware Masked Learning for Referring Image Segmentation
- Simulation-based Optimization for Augmented Reading
- Asymmetric Idiosyncrasies in Multimodal Models
- Generative Recommendation for Large-Scale Advertising
- Sapling-NeRF: Geo-Localised Sapling Reconstruction in Forests for Ecological Monitoring
- Extending Czech Aspect-Based Sentiment Analysis with Opinion Terms: Dataset and LLM Benchmarks
- Human Label Variation in Implicit Discourse Relation Recognition
- Replacing Multi-Step Assembly of Data Preparation Pipelines with One-Step LLM Pipeline Generation for Table QA
- UFO-DETR: Frequency-Guided End-to-End Detector for UAV Tiny Objects
- Same Words, Different Judgments: How Preferences Vary Across Modalities
- Knob: A Physics-Inspired Gating Interface for Interpretable and Controllable Neural Dynamics
- IMMACULATE: A Practical LLM Auditing Framework via Verifiable Computation
- DPSQL+: A Differentially Private SQL Library with a Minimum Frequency Rule
- Tokenization, Fusion and Decoupling: Bridging the Granularity Mismatch Between Large Language Models and Knowledge Graphs
- Enhancing Persuasive Dialogue Agents by Synthesizing Cross-Disciplinary Communication Strategies
- GFRRN: Explore the Gaps in Single Image Reflection Removal
- Accelerating LLM Pre-Training through Flat-Direction Dynamics Enhancement
- SPMamba-YOLO: An Underwater Object Detection Network Based on Multi-Scale Feature Enhancement and Global Context Modeling
- Forecasting Bacterial Antimicrobial Resistance Trends Using Machine Learning on WHO GLASS Surveillance Data: A Retrieval-Augmented Generation Approach for Policy Decision Support
- Monocular Open Vocabulary Occupancy Prediction for Indoor Scenes
- ArtPro: Self-Supervised Articulated Object Reconstruction with Adaptive Integration of Mobility Proposals
- LEDA: Latent Semantic Distribution Alignment for Multi-domain Graph Pre-training
- Scaling Audio-Visual Quality Assessment Dataset via Crowdsourcing
- Deepfake Word Detection by Next-token Prediction using Fine-tuned Whisper
- Interactive Medical-SAM2 GUI: A Napari-based semi-automatic annotation tool for medical images
- Vectorizing the Trie: Efficient Constrained Decoding for LLM-based Generative Retrieval on Accelerators
- MUG: Meta-path-aware Universal Heterogeneous Graph Pre-Training
- Plug, Play, and Fortify: A Low-Cost Module for Robust Multimodal Image Understanding Models
- QuadSync: Quadrifocal Tensor Synchronization via Tucker Decomposition
- Tackling Privacy Heterogeneity in Differentially Private Federated Learning
- TorchLean: Formalizing Neural Networks in Lean
- HyperKKL: Enabling Non-Autonomous State Estimation through Dynamic Weight Conditioning
- CRAG: Can 3D Generative Models Help 3D Assembly?
- DiffBMP: Differentiable Rendering with Bitmap Primitives
- CGSA: Class-Guided Slot-Aware Adaptation for Source-Free Object Detection
- Coded-E2LF: Coded Aperture Light Field Imaging from Events
- Advancing accelerator virtual beam diagnostics through latent evolution modeling: an integrated solution to forward, inverse, tuning, and UQ problems
- Semantic Tube Prediction: Beating LLM Data Efficiency with JEPA
- LoR-LUT: Learning Compact 3D Lookup Tables via Low-Rank Residuals
- CoLyricist: Enhancing Lyric Writing with AI through Workflow-Aligned Support
- Transformers converge to invariant algorithmic cores
- Don't let the information slip away
- pQuant: Towards Effective Low-Bit Language Models via Decoupled Linear Quantization-Aware Training
- Correcting Human Labels for Rater Effects in AI Evaluation: An Item Response Theory Approach
- Towards Faithful Industrial RAG: A Reinforced Co-adaptation Framework for Advertising QA
- S2O: Early Stopping for Sparse Attention via Online Permutation
- GIFSplat: Generative Prior-Guided Iterative Feed-Forward 3D Gaussian Splatting from Sparse Views
- Quality-Aware Robust Multi-View Clustering for Heterogeneous Observation Noise
- SwiftNDC: Fast Neural Depth Correction for High-Fidelity 3D Reconstruction
- Addressing Climate Action Misperceptions with Generative AI
- Operationalizing Fairness: Post-Hoc Threshold Optimization Under Hard Resource Limits
- Autoregressive Visual Decoding from EEG Signals
- Relatron: Automating Relational Machine Learning over Relational Databases
- Identifying Multi-Hit Cancer Drivers Without Massive Parallelization: A CP, MIP, and Column Generation Framework
- Towards Dynamic Dense Retrieval with Routing Strategy
- SFL-Net: Source-Factorized Latent Representation Learning for Multi-Contrast MRI to Tau-PET Synthesis
- HARU-Net: Hybrid Attention Residual U-Net for Edge-Preserving Denoising in Cone-Beam Computed Tomography
- Ruyi2 Technical Report
- LUMOS: Democratizing SciML Workflows with L0-Regularized Learning for Unified Feature and Parameter Adaptation
- Persistent Nonnegative Matrix Factorization via Multi-Scale Graph Regularization
- A Synergistic Approach: Dynamics-AI Ensemble in Tropical Cyclone Forecasting
- Coarse-to-Fine Learning of Dynamic Causal Structures
- Dynamic Level Sets
- Predicting Tennis Serve directions with Machine Learning
- Iterative Prompt Refinement for Dyslexia-Friendly Text Summarization Using GPT-4o
- Efficient Dialect-Aware Modeling and Conditioning for Low-Resource Taiwanese Hakka Speech Processing
- TFPS: A Temporal Filtration-enhanced Positive Sample Set Construction Method for Implicit Collaborative Filtering
- TEFL: Prediction-Residual-Guided Rolling Forecasting for Multi-Horizon Time Series
- A Mathematical Theory of Agency and Intelligence
- Pix2Key: Controllable Open-Vocabulary Retrieval with Semantic Decomposition and Self-Supervised Visual Dictionary Learning
- Rethinking Floorplan Generation with Space Syntax: From Design Theory to Model Improvement
- Mapping the Landscape of Artificial Intelligence in Life Cycle Assessment Using Large Language Models
- From Shallow Bayesian Neural Networks to Gaussian Processes: General Convergence, Identifiability and Scalable Inference