Papers
Sun 19 Apr 2026
271 papers
- Topology-Aware Data Movement for Disaggregated GPU InferenceEfficient LLM inference and serving → Serving systems and request scheduling
- Recurrent Reasoning on Symbolic Puzzles with Sequence ModelsLLM reasoning → Test-time compute and efficient thinking
- Agentic Social Affordance Framework (ASAF): Agent Identity Design as a Collaboration Interface in Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- The Granularity Gap: A Multi-Dimensional Cross-Generational Audit of Sycophancy in Gemini ModelsLLM safety and security → Safety alignment, refusal and guardrails
- Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline MethodsLLM reasoning → Reasoning benchmarks and evaluation
- Internalizing Outcome Supervision into Process Supervision: A New Paradigm for Reinforcement Learning for ReasoningLLM reasoning → Reinforcement learning for reasoning
- MACS: Modality-Aware Capacity Scaling for Efficient Multimodal MoE InferenceMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Predictive Multi-Tier Memory Management for KV Cache in Large-Scale GPU InferenceEfficient LLM inference and serving → KV cache optimization
- Lost in Motion: Vision Language Models Fail the Dynamic Gauges TestMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- KnowPilot: Your Knowledge-Driven Copilot for Domain TasksLLM agents and tool use → General LLM agent frameworks and benchmarks
- Easy Samples Are All You Need: Self-Evolving LLMs via Data-Efficient Reinforcement LearningSynthetic data and self-improvement for LLMs → Self-play RL for reasoning
- Towards Self-Improving Error Diagnosis in Multi-Agent SystemsLLM agents and tool use → Software engineering coding agents +1
- Poly-EPO: Training Exploratory Reasoning ModelsLLM reasoning → Reinforcement learning for reasoning
- Infrastructure-Centric World Models: Bridging Temporal Depth and Spatial Breadth for Roadside PerceptionWorld models → World models for autonomous driving
- ThreadSumm: Summarization of Nested Discourse Threads Using Tree of ThoughtsLLM reasoning → Reasoning benchmarks and evaluation
- HCFD: A Benchmark for Audio Deepfake Detection in HealthcareState-space sequence models (S4, Mamba) → Speech and audio SSMs
- BioVLM: Routing Prompts, Not Parameters, for Cross-Modality Generalization in Biomedical VLMsMultimodal LLMs / vision-language models → Medical vision-language models
- SLO-Guard: Crash-Aware, Budget-Consistent Autotuning for SLO-Constrained LLM ServingEfficient LLM inference and serving → Serving systems and request scheduling
- ViPS: Video-informed Pose Spaces for Auto-Rigged MeshesDiffusion models → Video generation
- KnowledgeBerg: Evaluating Systematic Knowledge Coverage and Compositional Reasoning in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- WhatIf: Interactive Exploration of LLM-Powered Social Simulations for Policy ReasoningLLM reasoning → Reasoning for agents, planning and code
- Provable Coordination for LLM Agents via Message Sequence ChartsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Agents Explore but Agents Ignore: LLMs Lack Environmental CuriosityLLM agents and tool use → General LLM agent frameworks and benchmarks
- DGSSM: Diffusion guided state-space models for multimodal salient object detectionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- DIRCR: Dual-Inference Rule-Contrastive Reasoning for Solving RAVENsLLM reasoning → Multimodal reasoning
- Beyond Fine-Tuning: In-Context Learning and Chain-of-Thought for Reasoned Distractor GenerationLLM reasoning → Reasoning benchmarks and evaluation
- Beyond Static Snapshots: A Grounded Evaluation Framework for Language Models at the Agentic FrontierLLM reasoning → Reinforcement learning for reasoning +2
- Target Parameterization in Diffusion Models for Nonlinear Spatiotemporal System IdentificationDiffusion models → Flow matching, time series and science
- SafeAgent: A Runtime Protection Architecture for Agentic SystemsLLM agents and tool use → Agent threats, guardrails and governance
- CoSearch: Joint Training of Reasoning and Document Ranking via Reinforcement Learning for Agentic SearchLLM agents and tool use → Web, search, and research agents
- SVL: Goal-Conditioned Reinforcement Learning as Survival LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- OPSDL: On-Policy Self-Distillation for Long-Context Language ModelsKnowledge distillation → On-policy and self-distillation for LLMs
- Safer Trajectory Planning with CBF-guided Diffusion Model for Unmanned Aerial VehiclesDiffusion models → Diffusion and flow policies for robotics
- RS-HyRe-R1: A Hybrid Reward Mechanism to Overcome Perceptual Inertia for Remote Sensing Images UnderstandingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- SkillGraph: Self-Evolving Multi-Agent Collaboration with Multimodal Graph TopologyMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +2
- Towards Shutdownable Agents: Generalizing Stochastic Choice in RL Agents and LLMsLLM agents and tool use → Reinforcement learning for LLM agents
- CoAct: Co-Active LLM Preference Learning with Human-AI SynergyLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Coevolving Representations in Joint Image-Feature DiffusionDiffusion models → Diffusion foundations and sampling
- AutoVQA-G: Self-Improving Agentic Framework for Automated Visual Question Answering and Grounding AnnotationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +2
- Answer Only as Precisely as Justified: Calibrated Claim-Level Specificity Control for Agentic SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Waking Up Blind: Cold-Start Optimization of Supervision-Free Agentic Trajectories for Grounded Visual PerceptionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Project Prometheus: Bridging the Intent Gap in Agentic Program Repair via Reverse-Engineered Executable SpecificationsLLM agents and tool use → Software engineering coding agents
- Agentic Education: Using Claude Code to Teach Claude CodeLLM agents and tool use → Software engineering coding agents
- Transparent and Controllable Recommendation Filtering via Multimodal Multi-Agent CollaborationLLM agents and tool use → Agentic recommender systems
- EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and RetrievalRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- TrafficClaw: A Generalizable LLM Agent in the Unified Physical Environment for Urban Traffic ControlLLM agents and tool use → Multimodal and embodied agents
- Compiling Deterministic Structure into SLM HarnessesLLM reasoning → Reasoning for agents, planning and code
- Self-Consistency from Only Two Samples: CoT-PoT Ensembling for Efficient LLM ReasoningLLM reasoning → Test-time compute and efficient thinking
- Jupiter-N Technical ReportLLM reasoning → Reasoning benchmarks and evaluation
- Where to Focus: Query-Modulated Multimodal Keyframe Selection for Long Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- ARMove: Learning to Predict Human Mobility through Agentic ReasoningLLM reasoning → Spatial and embodied reasoning +1
- Reward Score Matching: Unifying Reward-based Fine-tuning for Flow and Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
- Think before Go: Hierarchical Reasoning for Image-goal NavigationLLM reasoning → Spatial and embodied reasoning
- EvoMaster: A Foundational Evolving Agent Framework for Agentic Science at ScaleLLM agents and tool use → Web, search, and research agents
- STRIDE: Strategic Iterative Decision-Making for Retrieval-Augmented Multi-Hop Question AnsweringRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Phase-Scheduled Multi-Agent Systems for Token-Efficient CoordinationLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Beyond Meta-Reasoning: Metacognitive Consolidation for Self-Improving LLM ReasoningLLM reasoning → Test-time compute and efficient thinking +1
- Speculative Decoding for Autoregressive Video GenerationDiffusion models → Video generation +1
- Representation-Guided Parameter-Efficient LLM UnlearningLLM safety and security → Machine unlearning
- SpatialImaginer: Towards Adaptive Visual Imagination for Spatial ReasoningLLM reasoning → Spatial and embodied reasoning +1
- Towards a Data-Parameter Correspondence for LLMs: A Preliminary DiscussionLLM safety and security → Machine unlearning
- When Text Hijacks Vision: Benchmarking and Mitigating Text Overlay-Induced Hallucination in Vision Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- T-DuMpRa: Teacher-guided Dual-path Multi-prototype Retrieval Augmented framework for fine-grained medical image classificationRetrieval-augmented generation → Medical and biomedical RAG
- More Than Meets the Eye: Measuring the Semiotic Gap in Vision-Language Models via Semantic AnchorageMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Hive: A Multi-Agent Infrastructure for Algorithm- and Task-Level ScalingLLM agents and tool use → General LLM agent frameworks and benchmarks
- AutoSearch: Adaptive Search Depth for Efficient Agentic RAG via Reinforcement LearningRetrieval-augmented generation → Agentic RAG, agents and memory +1
- Rethinking the Comparison Unit in Sequence-Level Reinforcement Learning: An Equal-Length Paired Training Framework from Loss Correction to Sample ConstructionDeep reinforcement learning methods → RL training of language and agent models
- Signal or Noise in Multi-Agent LLM-based Stock Recommendations?LLM agents and tool use → Financial trading and forecasting agents
- Align Documents to Questions: Question-Oriented Document Rewriting for Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Towards Joint Quantization and Token Pruning of Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- When Background Matters: Breaking Medical Vision Language Models by Transferable AttackMultimodal LLMs / vision-language models → Medical vision-language models
- A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and SolutionsLLM reasoning → Reinforcement learning for reasoning
- Interpolating Discrete Diffusion Models with Controllable ResamplingDiffusion models → Discrete and text diffusion
- Knows: Agent-Native Structured Research RepresentationsLLM agents and tool use → Web, search, and research agents
- Efficient Test-Time Scaling via Temporal Reasoning AggregationLLM reasoning → Test-time compute and efficient thinking
- RoTRAG: Rule of Thumb Reasoning for Conversation Harm Detection with Retrieval-Augmented GenerationLLM reasoning → Reasoning for agents, planning and code +2
- Cat-DPO: Category-Adaptive Safety AlignmentLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- CRISP: Compressing Redundancy in Chain-of-Thought via Intrinsic Saliency PruningLLM reasoning → Test-time compute and efficient thinking
- LLaTiSA: Towards Difficulty-Stratified Time Series Reasoning from Visual Perception to SemanticsLLM reasoning → Time series reasoning
- Probabilistic Programs of ThoughtLLM reasoning → Reasoning for agents, planning and code
- Clover: A Neural-Symbolic Agentic Harness with Stochastic Tree-of-Thoughts for Verified RTL RepairLLM reasoning → Reasoning for agents, planning and code +1
- HalluClear: Diagnosing, Evaluating and Mitigating Hallucinations in GUI AgentsLLM agents and tool use → Medical and scientific domain agents
- MedPRMBench: A Fine-grained Benchmark for Process Reward Models in Medical ReasoningLLM reasoning → Clinical and biomedical applications +1
- Instinct vs. Reflection: Unifying Token and Verbalized Confidence in Multimodal Large ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic SearchLLM reasoning → Reasoning for agents, planning and code +1
- Are Emotion and Rhetoric Neurons in LLM? Neuron Recognition and Adaptive Masking for Emotion-Rhetoric Prediction SteeringLLM reasoning → Audio-language model reasoning
- Seeing Isn't Believing: Mitigating Belief Inertia via Active Intervention in Embodied AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Bit-Flip Vulnerability of Shared KV-Cache Blocks in LLM Serving SystemsEfficient LLM inference and serving → KV cache optimization
- RemoteShield: Enable Robust Multimodal Large Language Models for Earth ObservationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- GaLa: Hypergraph-Guided Visual Language Models for Procedural PlanningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- HeadRank: Decoding-Free Passage Reranking via Preference-Aligned Attention HeadsLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- From Language to Action: Enhancing LLM Task Efficiency with Task-Aware MCP Server RecommendationLLM agents and tool use → Tool learning and function calling
- Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLMMultimodal LLMs / vision-language models → Image editing and quality assessment
- A Multi-Agent Approach for Claim Verification from Tabular Data DocumentsLLM agents and tool use → Web, search, and research agents
- LASER: Low-Rank Activation SVD for Efficient RecursionLLM reasoning → Test-time compute and efficient thinking
- Bilinear Input Modulation for Mamba: Koopman Bilinear Forms for Memory Retention and Multiplicative ComputationState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Dynamics of Cognitive Heterogeneity: Investigating Behavioral Biases in Multi-Stage Supply Chains with LLM-Based SimulationLLM agents and tool use → Social simulation and multi-agent debate
- Cross-Modal Attention Analysis and Optimization in Vision-Language Models: A Study on Visual ReliabilityMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Continual Safety Alignment via Gradient-Based Sample SelectionLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Guardrails in Logit Space: Safety Token Regularization for LLM AlignmentLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
All 271
- Demystifying the unreasonable effectiveness of online alignment methodsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- DreamShot: Personalized Storyboard Synthesis with Video Diffusion PriorDiffusion models → Video generation
- Do LLM-derived graph priors improve multi-agent coordination?LLM agents and tool use → Reinforcement learning for LLM agents
- Persona-Based Requirements Engineering for Explainable Multi-Agent Educational Systems: A Scenario Simulator for Clinical Reasoning TrainingLLM agents and tool use → Medical and scientific domain agents
- Layer-wise MoE Routing Locality under Shared-Prefix Code Generation: Token-Identity Decomposition and Compile-Equivalent Fork RedundancyMixture-of-experts → Expert routing strategies
- LLM Framework for Discovering Major Mathematical Conjectures: AI's Quest for the Next Riemann Hypothesis
- AI Tool Discovery at Scale: All You Need is DNS
- AI-Driven Analytics of Team-Teaching Talk: Acoustic Patterns across Experience, Cohorts and the Learning Design
- Community-Specific Slang and Entity Detection via Semantic Shift in Fine-Tuned Language Models
- Evaluating Hallucinations in Domain-Adapted Large Language Models
- TinyJudge: Unverifiable Constraint Alignment via Lightweight Specialist Ensembles
- Bidirectional Small-Granularity Search between Code and Text
- Human-AI Collaboration for Estimating Scientific Replicability
- Evolutionary fine tuning of quantized convolution-based deep learning models
- AirFM-DDA: Air-Interface Foundation Model in the Delay-Doppler-Angle Domain for AI-Native 6G
- What Physics do Data-Driven MoCap-to-Radar Models Learn?
- Intervention-Aware Multiscale Representation Learning from Imaging Phenomics and Perturbation Transcriptomics
- 2D Pre-Training for 3D Pose Estimation
- MetaEarth3D: Unlocking World-scale 3D Generation with Spatially Scalable Generative Modeling
- DGHMesh: A Large-scale Dual-radar mmWave Dataset and Generalization-focused Benchmark for Human Mesh Reconstruction
- Shape: A Self-Supervised 3D Geometry Foundation Model for Industrial CAD Analysis
- SGP-SAM: Self-Gated Prompting for Transferring 3D Segment Anything Models to Lesion Segmentation
- WeatherSeg: Weather-Robust Image Segmentation using Teacher-Student Dual Learning and Classifier-Updating Attention
- On Solving the Multiple Variable Gapped Longest Common Subsequence Problem
- FASE : A Fairness-Aware Spatiotemporal Event Graph Framework for Predictive Policing
- NeuroAI and Beyond: Bridging Between Advances in Neuroscience and Artificial Intelligence
- Virtual boundary integral neural network for three-dimensional exterior acoustic problems
- Prior-Fitted Functional Flow: In-Context Generative Models for Pharmacokinetics
- Low Light Image Enhancement Challenge at NTIRE 2026
- Peerispect: Claim Verification in Scientific Peer Reviews
- ATLAS: Constitution-Conditioned Latent Geometry and Redistribution Across Language Models and Neural Perturbation Data
- Semantic Density Effect (SDE): Maximizing Information Per Token Improves LLM Accuracy
- Video-Robin: Autoregressive Diffusion Planning for Intent-Grounded Video-to-Music Generation
- PV-SQL: Synergizing Database Probing and Rule-based Verification for Text-to-SQL Agents
- Self-Supervised Super-Resolution for Sentinel-5P Hyperspectral Images
- Measuring Distribution Shift in User Prompts and Its Effects on LLM Performance
- On The Mathematics of the Natural Physics of Optimization
- Copy First, Translate Later: Interpreting Translation Dynamics in Multilingual Pretraining
- Does Welsh media need a review? Detecting bias in Nation.Cymru's political reporting
- Toward Reusability of AI Models Using Dynamic Updates of AI Documentation
- FlowC2S: Flowing from Current to Succeeding Frames for Fast and Memory-Efficient Video Continuation
- STRIKE: Additive Feature-Group-Aware Stacking Framework for Credit Default Prediction
- Conditional Attribution for Root Cause Analysis in Time-Series Anomaly Detection
- Characterizing Model-Native Skills
- STEP-PD: Stage-Aware and Explainable Parkinson's Disease Severity Classification Using Multimodal Clinical Assessments
- Polarization and Integration in Global AI Research
- Terminal Wrench: A Dataset of 331 Reward-Hackable Environments and 3,632 Exploit Trajectories
- AIRA: AI-Induced Risk Audit: A Structured Inspection Framework for AI-Generated Code
- How Much Data is Enough? The Zeta Law of Discoverability in Biomedical Data, featuring the enigmatic Riemann zeta function
- Recovery Guarantees for Continual Learning of Dependent Tasks: Memory, Data-Dependent Regularization, and Data-Dependent Weights
- PBSBench: A Multi-Level Vision-Language Framework and Benchmark for Hematopathology Whole Slide Image Interpretation
- MAPLE: A Meta-learning Framework for Cross-Prompt Essay Scoring
- Diverse Dictionary Learning
- Multi-Camera Self-Calibration in Sports Motion Capture: Leveraging Human and Stick Poses
- UniGeo: Unifying Geometric Guidance for Camera-Controllable Image Editing via Video Models
- Causal-Temporal Event Graphs: A Formal Model for Recursive Agent Execution Traces
- Contraction and Hourglass Persistence for Learning on Graphs, Simplices, and Cells
- PoliLegalLM: A Technical Report on a Large Language Model for Political and Legal Affairs
- Dual Strategies for Test-Time Adaptation
- Real-Time Cellist Postural Evaluation With On-Device Computer Vision
- VIDS: A Verified Imaging Dataset Standard for Medical AI
- From Admission to Invariants: Measuring Deviation in Delegated Agent Systems
- ONTO: A Token-Efficient Columnar Notation for LLM Input Optimization
- Atomic Decision Boundaries: A Structural Requirement for Guaranteeing Execution-Time Admissibility in Autonomous Systems
- Learning Unanimously Acceptable Lotteries via Queries
- Edit Fidelity Field: Semantics-Aware Region Isolation for Training-Free Scene Text Editing
- Generative AI Technologies, Techniques & Tensions: A Primer
- A Probabilistic Consensus-Driven Approach for Robust Counterfactual Explanations
- Matlas: A Semantic Search Engine for Mathematics
- Trustworthy deep domain adaptation for wearable photoplethysmography signal analysis with decision-theoretic uncertainty quantification
- Unveiling Deepfakes: A Frequency-Aware Triple Branch Network for Deepfake Detection
- Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading
- Dual-Anchoring: Addressing State Drift in Vision-Language Navigation
- UniMesh: Unifying 3D Mesh Understanding and Generation
- Machine Learning Hamiltonian Dynamical Systems with Sparse and Noisy Data
- Language models recognize dropout and Gaussian noise applied to their activations
- Beyond the Bellman Fixed Point: Geometry and Fast Policy Identification in Value Iteration
- From Adaptation to Generalization: Adaptive Visual Prompting for Medical Image Segmentation
- HSG: Hyperbolic Scene Graph
- Learned Nonlocal Feature Matching and Filtering for RAW Image Denoising
- SegTTA: Training-Free Test-Time Augmentation for Zero-Shot Medical Imaging Segmentation
- HyKey: Hyperspectral Keypoint Detection and Matching in Minimally Invasive Surgery
- Attention Is not Everything: Efficient Alternatives for Vision
- DEM Refinement and Validation on the Lunar Surface Using Shape-from-Shading with Chandrayaan-2 OHRC Imagery
- MoVE: Translating Laughter and Tears via Mixture of Vocalization Experts in Speech-to-Speech Translation
- Long-CODE: Isolating Pure Long-Context as an Orthogonal Dimension in Video Evaluation
- Neural Adjoint Method for Meta-optics: Accelerating Volumetric Inverse Design via Fourier Neural Operators
- A unified convergence theory for adaptive first-order methods in the nonconvex case, including AdaNorm, full and diagonal AdaGrad and Muon
- TransXion: A High-Fidelity Graph Benchmark for Realistic Anti-Money Laundering
- Project resilience as network robustness
- The Open-Weight Paradox: Why Restricting Access to AI Models May Undermine the Safety It Seeks to Protect
- DuConTE: Dual-Granularity Text Encoder with Topology-Constrained Attention for Text-attributed Graphs
- Algorithmic Contiguity from Low-Degree Heuristic II: Predicting Detection-Recovery Gaps
- On the Generalization Bounds of Symbolic Regression with Genetic Programming
- Contrastive Analysis of Linguistic Representations in Large Language Model Outputs through Structured Synthetic Data Generation and Abstracted N-gram Associations
- Who Watches the Watchmen? Humans Disagree With Translation Metrics on Unseen Domains
- RISC-V Functional Safety for Autonomous Automotive Systems: An Analytical Framework and Research Roadmap for ML-Assisted Certification
- MESA: A Training-Free Multi-Exemplar Deep Framework for Restoring Ancient Inscription Textures
- Deep learning based Non-Rigid Volume-to-Surface Registration for Brain Shift compensation Using Point Cloud
- Just Repair: A Minimal Denoising Network for Time Series Anomaly Detection
- StrEBM: A Structured Latent Energy-Based Model for Blind Source Separation
- Study and Improvement of Search Algorithms in Multi-Player Perfect-Information Games
- AnchorMem: Anchored Facts with Associative Contexts for Building Memory in Large Language Models
- Towards Generalizable Deepfake Image Detection with Vision Transformers
- Leveraging Kernel Symmetry for Joint Compression and Error Mitigation in Edge Model Transfer
- ArgBench: Benchmarking LLMs on Computational Argumentation Tasks
- LLM-Guided Strategy Synthesis for Scalable Equality Saturation
- Plausible Patients, Impossible Populations: Auditing Epidemiological Fidelity in Large Language Model Mental Health Simulations
- Still Between Us? Evaluating and Improving Voice Assistant Robustness to Third-Party Interruptions
- SOCIA-EVO: Automated Simulator Construction via Dual-Anchored Bi-Level Optimization
- SPaRSe-TIME: Saliency-Projected Low-Rank Temporal Modeling for Efficient and Interpretable Time Series Prediction
- Formal Foundations of Agentic Business Process Management
- Logical Computational Linguistics
- FLARE: Task-agnostic embedding model evaluation through a normalization process
- Dual-Resolution Attention-Gated Deep Learning with Ordinal Regression for Diabetic Retinopathy Grading: A Quantified Assessment of Cross-Domain Generalization
- Neuro-Symbolic Resolution of Recommendation Conflicts in Multimorbidity Clinical Guidelines
- Precise Debugging Benchmark: Is Your Model Debugging or Regenerating?
- Capacity-Controlled Global Attention for Graph Transformers
- A Universal Avoidance Method for Diverse Multi-branch Generation
- R-FLoRA: Residual-Statistic-Gated Low-Rank Adaptation for Single-Image Face Morphing Attack Detection
- E2E-GMNER: End-to-End Generative Grounded Multimodal Named Entity Recognition
- Calibrated? Not for Everyone: How Sexual Orientation and Religious Markers Distort LLM Accuracy and Confidence in Medical QA
- SkillFlow:Benchmarking Lifelong Skill Discovery and Evolution for Autonomous Agents
- Generalizable Face Forgery Detection via Separable Prompt Learning
- The First Challenge on Mobile Real-World Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview
- Chaos-Enhanced Prototypical Networks for Few-Shot Medical Image Classification
- Frequency-guided Multi-level Reasoning for Scene Graph Generation in Video
- Beyond "I Don't Know": Evaluating LLM Self-Awareness in Discriminating Data and Model Uncertainty
- REALM: Reliable Expertise-Aware Language Model Fine-Tuning from Noisy Annotations
- Spectral Forensics of Diffusion Attention Graphs for Copy-Move Forgery Detection
- Depth Adaptive Efficient Visual Autoregressive Modeling
- HorizonBench: Long-Horizon Personalization with Evolving Preferences
- PestVL-Net: Enabling Multimodal Pest Learning via Fine-grained Vision-Language Interaction
- Fully Analog Resonant Recurrent Neural Network via Metacircuit
- The Continuity Layer: Why Intelligence Needs an Architecture for What It Carries Forward
- HopRank: Self-Supervised LLM Preference-Tuning on Graphs for Few-Shot Node Classification
- Understanding U.S. Users' Security and Privacy Transparency Needs for Consumer-Facing Generative AI
- Fractal Characterization of Low-Correlation Signals in AI-Generated Image Detection
- Rectification Difficulty and Optimal Sample Allocation in LLM-Augmented Surveys
- Rethinking Meeting Effectiveness: A Benchmark and Framework for Temporal Fine-grained Automatic Meeting Effectiveness Evaluation
- HORIZON: A Benchmark for In-the-wild User Behaviour Modeling
- REZE: Representation Regularization for Domain-adaptive Text Embedding Pre-finetuning
- A Unified Compliance Aggregator Framework for Automated Multi-Tool Security Assessment of Linux Systems
- VIBE: Voice-Induced open-ended Bias Evaluation for Large Audio-Language Models via Real-World Speech
- DORA Explorer: Improving the Exploration Ability of LLMs Without Training
- Safe and Policy-Compliant Multi-Agent Orchestration for Enterprise AI
- Fringe Projection Based Vision Pipeline for Autonomous Hard Drive Disassembly
- Yanasse: Finding New Proofs from Deep Vision's Analogies, Part 1
- Revisiting Auxiliary Losses for Conditional Depth Routing: An Empirical Study
- Region-Affinity Attention for Whole-Slide Breast Cancer Classification in Deep Ultraviolet Imaging
- PAC-Bayes Bounds for Gibbs Posteriors via Singular Learning Theory
- Beyond the Basics: Leveraging Large Language Model for Fine-Grained Medical Entity Recognition
- Symplectic Inductive Bias for Data-Driven Target Reachability in Hamiltonian Systems
- EmbodiedHead: Real-Time Listening and Speaking Avatar for Conversational Agents
- DREAM: Dynamic Retinal Enhancement with Adaptive Multi-modal Fusion for Expert Precision Medical Report Generation
- CDSA-Net:Collaborative Decoupling of Vascular Structure and Background for High-Fidelity Coronary Digital Subtraction Angiography
- SciDraw-6K: A Multilingual Scientific Illustration Dataset Generated by Google Gemini
- Calibrating Model-Based Evaluation Metrics for Summarization
- Learning to Control Summaries with Score Ranking
- Forecast Sports Outcomes under Efficient Market Hypothesis: Theoretical and Experimental Analysis of Odds-Only and Generalised Linear Models
- LookasideVLN: Direction-Aware Aerial Vision-and-Language Navigation
- Beyond Overlap Metrics: Rewarding Reasoning and Preferences for Faithful Multi-Role Dialogue Summarization
- SynthFix: Adaptive Neuro-Symbolic Code Vulnerability Repair
- A Model and Estimation of the Bitcoin Transaction Fee
- Decentralised Trust and Security Mechanisms for IoT Networks at the Edge: A Comprehensive Review
- Cognitive Policy-Driven LLM for Diagnosis and Intervention of Cognitive Distortions in Emotional Support Conversation
- Decomposing the Depth Profile of Fine-Tuning
- Intent-aligned Autonomous Spacecraft Guidance via Reasoning Models
- RosettaSearch: Multi-Objective Inference-Time Search for Protein Sequence Design
- Modeling Multi-Dimensional Cognitive States in Large Language Models under Cognitive Crowding
- UCCL-Zip: Lossless Compression Supercharged GPU Communication