Papers
Fri 21 Aug 2026
365 papers
- Schr"odinger's Code Repository: Have LLMs Learned SWE-bench or Memorized It?LLM agents and tool use → Software engineering coding agents
- RelCheck: Dual-Evidence Spatial Grounding for VLM Hallucination CorrectionMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- MechReason: Benchmarking Multi-Image Multi-Hop Reasoning in Mechanical EngineeringLLM reasoning → Multimodal reasoning +1
- Test-Time Scaling for Scientific Equation DiscoveryLLM reasoning → Test-time compute and efficient thinking
- RedLight-VLA: Models for traffic-rule grounding and behavioral emphasis in driving policiesEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies
- REFINE: A Multi-Agent LLM Approach for Evidence-Guided Code RefactoringLLM agents and tool use → Software engineering coding agents
- From Traceability to Justifiability: Accountability Structures in Agentic Software EngineeringLLM agents and tool use → Agent threats, guardrails and governance
- Context as an Environment: Programmatic Context Management for Long-Horizon AgentsLLM agents and tool use → Agent memory systems
- SketchFlow: Zero-Shot Vector Sketch Generation via GMM Prior Flow in CLIP Latent SpaceDiffusion models → Image generation, text-to-image and editing
- Mitigating Database Leakage in RAG Systems with Keyword-Grounded Fact SubstitutionRetrieval-augmented generation → Privacy and security of RAG
- FlowSem: Flow Matching for Adaptive Wireless Image Transmission in Semantic CommunicationDiffusion models → Diffusion for compression and wireless
- ExploreAI: Agentic Exploration Knowledge Bases for Reproducible Observable-Regression Testing of Black-Box VR and 3D ApplicationsLLM agents and tool use → Multimodal and embodied agents
- SAEM: Stage-Aware Expert Management for Memory-Efficient MoE Inference in Chain-of-Thought ReasoningLLM reasoning → Test-time compute and efficient thinking +1
- Semantic Compression Trees: Multi-Resolution Knowledge Retrieval via Hierarchical Semantic ResidualsRetrieval-augmented generation → Generation and context integration
- Can LLMs Truly Forget? Revealing Unlearning Gaps Through Adversarial EvaluationLLM safety and security → Machine unlearning
- Exploring Agentic Approaches for Data Issue Detection and Repair in AI-Assisted VisualizationLLM agents and tool use → Multimodal and embodied agents
- K-Bench: measuring model performance on real scientific agent requestsLLM agents and tool use → Web, search, and research agents
- Perturb the Thought, Not the Pixels: Latent-Space Rollout Diversification for Reinforcement Learning of Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- Reading the Room: Implicit Confusion Encoding in Recurrent World Model StatesWorld models → Latent predictive world models
- Anchoring Bias: A Persistent Fairness Backdoor Attack against MLLMs under Continual LearningMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Automating Multi-Hop RAG Evaluation via TRIAD: From Context Extraction to Validated Dataset GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
- Forgotten in Weights, Recovered by Tools: Agentic Tool Unlearning for LLM AgentsLLM agents and tool use → Tool learning and function calling +1
- Beyond Sparse Weights: When Is Attention Compressible?Efficient LLM inference and serving → KV cache optimization
- DamageScope: Vision-Language Retrieval at Scale for Disaster Damage Assessment from Satellite ImageryMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Neuro-Formal Verification: Agentic Language-Agnostic Formal Program ReasoningLLM reasoning → Reasoning benchmarks and evaluation +1
- SecOPD: Mitigating Adaptive Prompt Injections by On-Policy DistillationLLM safety and security → Prompt injection and agent security
- TASSO: TAsk-Specific Subspace Optimization for Continual Learning of Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Structural Inference in Undocumented Mobile Databases: A Reproducible Benchmark for Evaluating Agentic Reasoning in Digital ForensicsLLM agents and tool use → Web, search, and research agents
- Asymmetric Capacity Allocation in Self-Refinement PipelinesLLM agents and tool use → General LLM agent frameworks and benchmarks
- Natural-Language Workflows Are Not Software Yet: Artifact-Driven Compilation for Reliable Agent ExecutionLLM agents and tool use → Software engineering coding agents
- AI-to-AI Code Reviews of GitHub Pull RequestsLLM agents and tool use → Software engineering coding agents
- Beyond Fault Localization: A Trajectory-Level Study of LLM Agents for Microservice Root Cause AnalysisLLM agents and tool use → Software engineering coding agents
- Rethinking Expressivity and Efficiency in Test-Time TrainingLLM reasoning → Test-time compute and efficient thinking
- Re3Cap: Retrieval-Guided Refinement for Image Captioning Enhancement via Reinforcement LearningLLM reasoning → Multimodal reasoning +1
- Difficulty-Calibrated Interpolation Paths for Conditional Flow MatchingDiffusion models → Flow matching, time series and science
- CLEAR: Continuous Latent Adapter Routing for Utility-Preserving LLM Safety AlignmentLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Memory Augmentation Unlocks Efficient Chain-of-Thought ReasoningLLM reasoning → Test-time compute and efficient thinking
- EnSI-RAG: Entity-Structure-Indexed Retrieval-Augmented Generation for Long-Document Question AnsweringRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Just Noticeable Difference Modeling for Token Compression in Vision-Language-Action ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +2
- SPICE: Speculative Prefetching with Low-Rank Expert Surrogates and Heterogeneous Orchestration for MoE Inference AccelerationMixture-of-experts → Efficient MoE training and inference systems +1
- RARE: Decoupling Representation Steering from Expert Routing in Mixture-of-Experts Language ModelsMixture-of-experts → Expert routing strategies
- Beyond Attention Masks: Instruction Anchoring for Efficient In-Context Diffusion GenerationDiffusion models → Diffusion foundations and sampling
- Personalized Privacy Control in LLMs via Attention Head InterventionLLM agents and tool use → Agent threats, guardrails and governance
- SlimDiffuSE: Towards Efficient Diffusion-Based Speech Enhancement using Slimmable NetworksDiffusion models → Audio, speech and music
- Is Visual Prompting All You Need? Studying VLM Spatial Reasoning under Progressive Visual ScaffoldsLLM reasoning → Spatial and embodied reasoning +1
- Graph Engineering in the Era of LLM Agents: From Individual Intelligence to System IntelligenceLLM agents and tool use → General LLM agent frameworks and benchmarks
- Llama-Mobile: Efficient 2.7-Bit Quantization of VLMsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- TraceGrant: A Contract-Governed Security Framework for the Task-Effect Lifecycle of Networked LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- CIVA: Critic-Induced Value-Subspace Attacks on Visual World-Model AgentsWorld models → World model security and GUI agents
- ClawSentry: A Progressive Multi-Tier Security Monitor for Safeguarding Autonomous LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- ReFrame: Evidence-Guided Test-Time Safety Alignment in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +2
- Trustworthy RAG: An Evaluation Agent for Detecting Misinformation and Knowledge Poisoning in Generative AI SystemsRetrieval-augmented generation → Privacy and security of RAG +1
- Designing a Robust LLM-Based Evaluation System for Agentic AI in Drug Discovery Through Human AlignmentLLM agents and tool use → Medical and scientific domain agents
- Z2-ACT: End-to-End Verifiable Agentic Intent Control for Open 6G RANLLM agents and tool use → Agentic AI for wireless networks
- Roadside-Cooperative Autonomous Driving: From Data Platform to Vision-Language End-to-End ReasoningLLM reasoning → Chain-of-thought reasoning for driving +1
- COMET: Contrastive Motion-Enhanced Temporal Reasoning for Video Multimodal Large Language ModelsLLM reasoning → Multimodal reasoning +1
- Don't Solve, Just Compare: Tiny Advisors for Runtime Intervention in LLM AgentsLLM agents and tool use → Agent skill learning and evolution
- Recognition-Conditioned Reasoning: A Training-Free Multimodal-LLM Pipeline for Fine-Grained Micro-Action UnderstandingLLM reasoning → Spatial and embodied reasoning
- Latent Ordinal Evidence, Misaligned Outputs: Inference-Time Ordinal Lens Alignment for Multimodal LLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Trojaning the Alignment: Stealthy Backdoor Attacks against Graph Foundation ModelsLLM safety and security → Backdoor and data poisoning attacks
- Belief Without Behavior: Measuring the Translation of Theory of Mind into Coordinated Social Action in Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- WA-JEPA: Rethinking the Video JEPA Paradigm for World-Action Modeling in Autonomous DrivingWorld models → World models for autonomous driving +1
- TreeWY: Speculative Verification for Gated DeltaNet HybridsEfficient LLM inference and serving → Speculative decoding
- Can Scientific Claims Be Removed from Large Language Models? A Systematic Evaluation of Claim-Level UnlearningLLM safety and security → Machine unlearning
- Neural-Primitive: An Efficient End-to-end Local Planner with Primitive-based Imitation Learning for Autonomous FlightOffline RL and imitation learning from data → Imitation learning methods
- The Logic of Machine Self-PreservationLLM agents and tool use → General LLM agent frameworks and benchmarks
- No Judgment Without a Reason: Counterfactual Receipts for Versioned AI EvaluatorsLLM agents and tool use → Agent threats, guardrails and governance
- Graph-Operator World Models for Morphology-Parameter Generalization in Continuous ControlWorld models → Embodied and robot world models
- Decoupling Policy Extraction for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Generation of Web Apps with Agentic IDEs: An Empirical AssessmentLLM agents and tool use → Software engineering coding agents
- A Collaborative Multi-Modality Interaction for VLA-based End-to-End Autonomous DrivingVision-language-action models → VLA for autonomous driving +1
- KREL: Automatic Medical Coding via Knowledge-Guided Reasoning over Clinical Evidence with LLMsLLM reasoning → Clinical and biomedical applications
- ReCurveflow: A Flow Matching Framework that Learns Curved Reaction Trajectories to Predict Transition State GeometriesDiffusion models → Flow matching, time series and science
- BC-Bench: Evaluating Agentic Engineering in a Domain-Specific Language for ERPLLM agents and tool use → General LLM agent frameworks and benchmarks
- RAG Deserves an Index: Why Ingest-Time Compilation Beats Query-Time InterpretationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- TRACE: Agentic Catalog Enrichment with Multi-source Evidence GroundingLLM agents and tool use → Social simulation and multi-agent debate
- SAC-Copula: Quality-Preserving Watermarking for Diffusion Language Models via Smooth Correlated Gumbel FieldsDiffusion models → Robustness, privacy and adversarial aspects +1
- Certified Multi-Turn Robustness for LLM Safety via Compositional Bounds and Safety PersistenceLLM safety and security → Jailbreaking
- Scaling Muon for Diffusion TransformersDiffusion models → Diffusion foundations and sampling
- Enhancing Localized Reasoning for Long Video Understanding via Efficient Segment-to-Video SupervisionLLM reasoning → Multimodal reasoning +1
- Automated Trajectory Evaluation for Mobile Agents via Step-Level Consequence Reasoning and AggregationLLM agents and tool use → Agent threats, guardrails and governance
- CertVLA: Certified Defense against Physical Visual Attacks for Vision-Language-Action ModelsVision-language-action models → Safety and adversarial attacks
- Structure for Reading, Prose for Writing: Asymmetric Structural Conditioning in Multi-Agent Document AuthoringLLM agents and tool use → Web, search, and research agents
- Rethinking Demonstration Unlearning in Imitation Learning for RoboticsOffline RL and imitation learning from data → Imitation learning methods +1
- Tree-of-Concerns: Hierarchical Multi-Agent Debate for Unstated-Limitation Extraction in Scientific CritiqueLLM agents and tool use → Social simulation and multi-agent debate
- CAS: Conformalized Agentic Search via Adaptive Retrieval and Policy WeightingLLM agents and tool use → Web, search, and research agents
- CARD: Diagnosing Belief to Action Routing Failures in Vision Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Fuzzy-MoE: Interpretable Regime-Conditioned Expert Routing for Non-Stationary Multivariate Time Series ForecastingMixture-of-experts → MoE for time series and graphs
- Vis-Poison: Poisoning Visual Knowledge in Multimodal Retrieval-Augmented GenerationMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Identity-Preserving Text-to-Video Generation via Agentic Enhancement and Semantic RepairLLM agents and tool use → Multimodal and embodied agents
- Is Multimodal Speculative Decoding Ready for Diffusion-Based Parallel Drafting? A Survey and Empirical DiagnosisEfficient LLM inference and serving → Fast autoregressive visual generation
- ForeTime-VLA: Causal Future-Token Distillation from a World Action Model for Conveyor-Belt ManipulationWorld models → Embodied and robot world models +1
- Calibrating Criterion Revision in LLM Agents: Failure Modes and a Trace-Anchored ProtocolLLM agents and tool use → General LLM agent frameworks and benchmarks
- AffordAny: Open-World 3D Affordance Grounding from Monocular RGB Images via Vision-Language-Guided Geometric ReasoningLLM reasoning → Spatial and embodied reasoning
- DirEAG: Dirichlet Evidence Aggregation for Calibrating Verbalized Confidence in Mathematical ReasoningLLM reasoning → Test-time compute and efficient thinking
- ArtiMo: Agent-Driven Articulated Mesh AnimationLLM agents and tool use → Multimodal and embodied agents
- Temporal Validity on Real Software Histories: Eliminating Stale-Fact Errors in Code-Assistant Memory over GitHub FixesRetrieval-augmented generation → RAG for code
- Why2Speak: Faithful Reasoning for Abstaining Action PoliciesLLM agents and tool use → General LLM agent frameworks and benchmarks
- Auditable by Construction: An Ontology-Driven Framework for Trustworthy LLM Analytics in Enterprise FinanceRetrieval-augmented generation → Legal and financial RAG
- The Claws in Plain Sight: Unauthorized Context Disclosure through LLM Agent Tool CallsLLM agents and tool use → Agent threats, guardrails and governance
All 365
- ARQ: Agentic CodeQL Query Refinement for C/C++ Vulnerability DetectionLLM agents and tool use → Agent threats, guardrails and governance
- Minimax Optimality of Score-Entropy Discrete DiffusionDiffusion models → Diffusion foundations and sampling
- Sparse Token Routing in Efficient TransformersEfficient LLM inference and serving → Token pruning and merging for ViTs
- Weighted Memory Tree: Remembering What Matters for Long-Horizon LLM AgentsLLM agents and tool use → Agent memory systems
- On the Tightness and Computational Tractability of Higher-Dimensional Confidence Sequences
- Staged Depth Training: A Representation Curriculum for PINNs
- Spread and Scale: What Determines Whether Test-Time Budget Allocation Pays
- Reliable Fusion of Conflicting Experts
- Global tree forecasters collapse at the hierarchical aggregate: a five-panel failure characterization
- Spatiality-Frequency Domain Video Forgery Detection System Based on ResNet-LSTM-CBAM and DCT Hybrid Network
- A Resilience Recovery Method for Complex Traffic Network Security Based on Trend Forecasting
- Image Denoising Using Lower Semi-Frames
- A Shared Encoder Is Not a Shared Task: Conditional Comparison for Deep Expert Pools
- SolarFlowRefiner: Refinement-Aware Flow Matching for Surface Solar Radiation Downscaling
- Type-Driven Tokenization for Brahmic Scripts
- Hadronic Mono-Z Dark Matter Sensitivity with Flow Matching on CMS Open Data
- Omega-N: Interpretable Structural Node Descriptors and Their Applicability Domain
- Benchmarking General Mobile Assistants in Challenging Real-World Scenarios
- Why did My Robot Just Change Personality? Prompting Guidelines for a Grounded Robot Persona in LLM-Based HRI
- Leveraging Remote Traffic Data for Local Air Pollutant Estimation: A Scenario-Based Machine Learning Study Across London Monitoring Sites
- MusPyExpress: Extending MusPy with Enhanced Expression Text Support
- Read, Write, Relax: Why Neural PDE Surrogates Need Both Global and Local Processing
- SynEHR: Joint Modeling Inter-visit Temporal Evolution and Intra-visit Clinical Structure for Longitudinal EHR Synthesis
- From Mastery Profile to Simulated Response: Stochastic Student Knowledge Graphs (SSKG) for Faithful LLM Student Simulation
- Measuring Activation Control in Large Language Models
- Why This, Not That? Mining User Profiles for Pair-wise Counterfactuals
- Variational Structure at the Edge of Stability
- Bounded Precision-Geometry Scaling for Robust Multi-Task Learning under Loss Scale Mismatch
- GeoQ: Geometry-Aware Conditional Quantile Error Estimation for Scientific Surrogate Models
- Power-Performance Characterization of TinyML Systems
- Piecewise Linear Equivariant Maps for Compact Groups
- Large-Scale Evaluation of Advanced Imputation Methods for Missing Values in Smart Meter Data
- Semantic Slots for Video Object-Centric Learning
- ChequeMark: An Ensemble Machine Learning Framework for After-Hours Business Deposit Fraud Detection
- Rethinking Communication Metrics: How Should We Measure Meaning?
- FrugalSOT - Frugal Search Over the Models
- Subzero matrix completion for sparse data analysis: large-scale learning of latent low-rank structure
- Generate in the Chart, Not on the Boundary: Function-Symbol Grounding for Hard Constraints in LTN-GANs
- Separating Voice from Age in COPD Screening
- Random Hazard Forests
- Reaching the Tail: Calibration Diversity Drives Conformal Coverage under Data Scarcity
- Predicting Early Functional Decline from Longitudinal Laboratory and Vital Sign Trajectories: A Large-Scale Study Using the All of Us Research Program
- Neural Network Field Theory at Finite Width
- Data-Driven Dynamic Algorithm Dispatch with Large Language Models
- Robust Lightweight Deep Learning Models for Oral Cancer Screening
- Sorting from Counterexamples
- Extending the Horizon of Early Diagnosis: Lung Cancer Prediction with Vision Transformers
- A Reproducible, License-Aware Distillation Recipe for CPUDeployable Safety Classification
- Quantifying geographic domain shift to decouple the geospatial transferability of human mobility flow generation models
- Loss-Parameterized Fisher Width Along Learning Trajectories
- Evidence-State Reliability Under Controlled Degradation: Parser-Validity Divergence in a Multi-Stage LLM Pipeline
- Tensor Seeks Layout: Formalizing Layout Selection for ML Compilers
- Model-Based Reinforcement Learning for Heterogeneous Multi-Robot Task Assignment Under Distribution Shifts
- Sparse Separable Factor Analysis in the Complex Domain with an Application to Local Field Potential Data
- presto: Efficient, Training-free, and Open-world Object Placement via Imaginary Search
- Federated Continual Learning as a Distributed Drift-Plus-Penalty Control Problem
- Multimodal Injury Risk and Performance Prediction in Tennis Using Weighted Ensemble Learning
- What Neural Network Field Theory Can and Cannot Realise on a Computer
- ChemDIRT: A Diversified Instruction, Representation, and Task Benchmark for Robust Chemistry-LLM Evaluation
- BeTaL-GBI: Admission-Aware Benchmark Tuning and Full-Stack Verification of Geometric Belief Interfaces
- Let Credit Follow Computation: Architecture-Aware Credit Transport for Large Language Model Reinforcement Learning
- Selection of Heart Sound Segments for Synchronous Classification of Multi-channel Heart Sounds
- CHIMERA Challenge: Biochemical Recurrence Prediction in Prostate Cancer Patients using multimodal datasets
- The geometry of AI validation: From structural blindness to reusable audits
- MDFI: A Multi-Domain Features Integration for Compressed Video Quality Enhancement
- Retrieval Needs Multivectors: An Exponential Separation
- KAN-Robust-Bench: A Benchmark for Evaluating the Robustness of Kolmogorov-Arnold Networks
- EXPL-FR: Explaining Face Recognition Models via Vision-Language Alignment
- Congruence Decomposition with Neural Block Solvers for Large-Scale PCI Assignment
- Reliability- and Anatomy-Consistency-Aware Multimodal Learning for Robust Fracture Classification from Bangladeshi Radiographs
- Multimodal pseudo-CT synthesis for PET attenuation correction using separate modality encoding and topogram conditioning
- A Data-Driven Approach to State Construction in Markov Models
- Persistent Magnitude Homology for Quantitative Equational Theories
- Explainable Adaptive Zero Trust Framework for AWS with Adversarial Robustness Evaluation
- From Subjective Judgments to Auditable Standards:Protocol-Guided AI Auditing of Website Redundancy
- Class-Conditioned Gaussian Mixture Modeling for Imbalanced Time Series Quantification
- 3D Point Cloud from Close-Range Photogrammetry for Defect Characterisation of Rubberised Concrete
- Gauss--Hermite Quadrature for Gaussian-Mixture Entropy with an Action-Space Hermite Surrogate
- Spectral partitioning for k-block averaging kernels of finite Markov chains
- Complexity Induction: Compositional Generalization via Structured Training Distortion
- OmniAssistBench: Assistant-style Interaction Benchmark for Omni-LLMs
- Primal Acceleration of Newton's Method
- VIALS: A Benchmark for Visual Interpretation of Artifacts in the Life Sciences
- AI with Authority, from Application to Silicon
- PerturbRx: Learning Treatment-Conditioned Latent Transitions for Patient Drug Response Prediction
- Truthful Calibration Measures for Sequential Prediction
- TurboBias 2.0: Streaming Context-Biasing for Production-Efficient ASR Systems
- Across-Design Uncertainty in Short Pricing Panels: Inference and Identification
- Anatomy-Informed Neural Networks: Encoding Anatomic Priors in Loss and Architecture, with an SE(3) Formulation of Guidewire-Induced Aortoiliac Deformation
- Move by Move: Measuring and Steering How LLMs Conduct Psychotherapy
- Time-Aware Tranformer-Based Prediction Model for AECOPD
- Unified Branch-and-Bound Search for the Steiner Traveling Salesman Problem on Graphs of Convex Sets
- From Regulation to Implementation: A Critical Evaluation of LLM-Assisted Regulatory Compliance in Industry
- Prompt-Model Interaction Reaches the Fixed Points: A deterministic, task-free structural readout -- and the factorizations of it that failed
- SPARCL: Spectral Partitioned Analytic Continual Learning
- When Adaptation Hurts: Connecting Representational Drift to OOD Failures in MedSAM Fine-Tuning
- AUSO: Action-Level Unified Skill Optimization from Internalization to Utilization
- VT-MUSE: Multimodal Unified Sequential Visuotactile Representation Learning for Manipulation
- WildFin: An In-the-Wild Dataset for Fish Behavioral Recognition
- ConceptTS: LLM-Guided Concept Bottlenecks for Interpretable Multivariate Time-Series Forecasting
- The Coastline as a Structural Constraint: Harnessing Scene Geometry for Autonomous Surface Vessel Localization
- The Exceedance Design Effect: Effective Sample Size for Thresholds under Clustering
- On the Transferability of Agricultural Weed Detection Under Cross-Field Distribution Shift
- TRACE-C: Rank-Calibrated Relational Anomaly Detection for Multi-Stream Operational Telemetry
- Benchmarking Patent Drafting from Inventor-Style Disclosures
- A VLM Answer Is Not an Anomaly Score: Rank Compression Across Image and Video Anomaly Detection
- Adapting Knowledge Graphs for Behavior Denoising in Sequential Recommendation
- Affective Context Amplifies Sycophancy in LLM Responses
- Advanced Linear Algebra with Applications - Part I (Numerical linear algebra for PDEs, machine learning, and data assimilation)
- Fine-Grain GPU Parallelization of the Generalized Partition Crossover for Large-Scale Traveling Salesman Problems
- Utility Under Attack: Agent Memory Poisoning and the Limits of Content Screening and Provenance Ranking
- Ontology-supported AI Model and Dataset Management
- Event-triggered Implicit Perturbation for Zeroth-Order Fine-Tuning of Spiking Transformers
- Enhancing LLMs in Predictive Political QA with Semi-Structured Data
- Specification Portability Across LLM Development Agents: Cross-Agent Compatibility in Specification-Driven Software Migration
- Curriculum-Aware Interpolate-then-Refine: Learned Physiological Time-Series Imputation under Realistic Missingness
- No PUN Intended: Plausible Unknown Names for Person-Centred LLM Evaluation
- Beyond Imitation: Self-Improving Robot Policies via Off-Policy Q-Planning
- SENTRY: Deterministic, Intelligent Risk Assessment for IT Change Management
- Tydra: An Efficient Hybrid Model for Tabular Data
- ES-VP : Energy-Shaped Dynamic Visual Prompting for Efficient Model Adaptation
- Towards Investigating Residual Hearing Loss: Quantification of Fibrosis in a Novel Cochlear OCT Dataset
- Anchored Regularized Direct Least Squares (ARDLS): Integrating Established Prioritization Operators for Priority Elicitation in the Analytic Hierarchy Process
- A Neurosymbolic Approach for Constructing Planning Domain Models from Clinical Narratives
- Toward Vision Language Model-based Assessment of Clinical Quality and Usability of LGE-MR Images for Cardiac Ablation Planning
- DAMOS: Learning Distortion-Aware Speech Quality Assessment through Explicit Distortion Localization
- SRL-MPC: Shape-Aware Reinforcement Learned Model Predictive Control
- From Attention Masks to Inert Zero-Vector Tokens: OAttention and O-Closure for Token Dynamics
- Thermo-FL: Thermal-Aware Robust Federated Fine-Tuning of Large Language Models for Edge AI
- Human-JEPA: A Human-Centric Vision Model that Perceives and Anticipates
- AID-Guard: Stateful Authorization for Delegated Agent Effects
- HIERA: Workload-Aware Planning Across Implementation Spaces for GPU Kernel Optimization
- Capturing Cardiac Cyclicity through Phase-Equivariant Self-Supervised Learning
- COEC: Calibrated Orthogonal-Equivalence Compensation for Structured Pruning of Large Language Models
- A Modular Agent for Reliable and Auditable Spatial Relation Verification in CT Scans
- BackDFL: A Unified Benchmark For Backdoor Attacks and Defenses In Decentralized Federated Learning
- Stream3Dv2: Geometric-Semantic Fusion Enhanced Streaming Zero-Shot 3D Scene Understanding
- Masking Is Not Enough: Generative Restoration for Multimodal De-Identification in Medical AI
- Root cause analysis via difference graph discovery from linear time-series data
- Large Language Models at the Intersection of Software Engineering and Software Security:An Evidence-Centered Structured Survey and Research Agenda
- Atom Learning Model (ALM): how a real classroom got tokenised
- A2DINOv3: Rethinking Multi-Modal Object Detection via Socialized Collaboration
- When does fusing hand-crafted knowledge with learned representations pay? A cost-normalized benchmark of stacking, substitution, and interference
- When Trust Meets Truth: Trust-Truth Separability in LLM-as-Judge
- FlatLand: Personalized Graph Federated Learning via Tailored Lorentz Space
- Gaussian-Mixture Latent Flow for Stochastic 3D Human Motion Prediction
- Can Legal AI Know When It Is Wrong? And Do Students Know When It Is?
- When the Feature Pool Goes Algorithmic: Extending Mufwene's Ecology of Language Evolution to LLM-Mediated Exposure
- Jokes Aside: Measuring the Semantic Distance of Double Meanings
- Causal Modeling of Adverse Pregnancy Outcomes via Adaptive LLM Proposals
- AudioWorldSim: Realistic Binaural Audio Datasets For World Models
- PromptResponse: Optimizing Prompts for LLM Coding Tasks
- TracingFlow: A Simulation-Free Trajectory Inference Framework Based on Second-Order Dynamics
- AT-ViT: Area-Targeted Multi-View Vision Transformer with Cross-Attention and Multi-Scale Patching for Plant Trait Recognition in Herbarium Images
- Robust Validation to Geometric Perturbations for Autonomous Pose Estimation
- CellPath-Bench: A Multidimensional Benchmark for Whole-Slide Cellular Representations in Pathology Foundation Models
- The Cost of a Physics Prior Is Bounded by the Ablation Gap
- CoAnchor: Robust Collaborative Perception under Spatio-Temporal Misalignment via Object-Level Anchors
- Socialized Division and Collaboration: Rethinking Class-Incremental Learning under Optimization Conflicts
- Evidence-Consistent Generative Detection under Scenario-Level Distribution Shift
- CoST: Semantic-Aware Urban Understanding via Spatial-Temporal Alignment
- Evaluating Large Language Model Performance on International Maritime Dangerous Goods Code Compliance
- RODE: A Radial-Orthogonal Decoupled Engine for Optimization
- Scaling Unsupervised Word Alignment to Documents via Structural Constraints
- Free-Text Evaluation of LLMs for 5G Domain Knowledge and Fault Analysis using LLM-as-Judge
- Target-Aware Calibration Data Selection for Preserving Uncertainty in Quantized Language Models
- From a Static Multi-Level Small Semantic Codebook to a Dynamic Single-Level Large Semantic Codebook for Generative Recommendation
- Dorsal Hand Images for Immersive (XR) and Privacy-preserving Age Assurance and Child Safety
- Triangulation-Free Bundle Adjustment with Graduated Non-Convexity for Camera Pose Refinement from Coarse Priors
- Free-Probability Kernels for Zero-Rollout Hyperparameter Selection in Reservoir Computing
- Jacobian-guided Noise Injection for Quantization Robustness in Large Language Models
- MigrationNarrate: A Dataset for Detection of Migration Narratives in YouTube Videos
- A Critical Audit of Spatiotemporal Forecasting Benchmark Datasets and Models
- Training DeepFilterNet with Accurate Room Acoustic Simulations Improves Single-Channel Speech Enhancement
- Deep Learning Models Also Recall Features
- Kinematic Knowledge Maps for Pattern Alignment: Structured Latent Representational Learning in Multimodal Gait Analysis
- Generalizing Soft Tissue Deformation and Force Prediction Across Material Stiffness and Geometry
- Structured but Fragile: On the Limits of LLMs in Cybersecurity Decision-Making
- Training, learning and inference: unified dynamics of neural systems
- Extractive Summarization for Arabic Documents Using SAraBERT with a Semantic Siamese Similarity Evaluation Metric
- Vibe Coding and Web Application Security: A Twin-Prompt Study
- TLive-Omni: An Omni-Modal Understanding Model for E-Commerce Live Streaming
- Quantization-Aware Healing: A Practical Recipe for Recovering Compressed, 4-Bit LLMs
- SuppreSensing: Expert-Guided Feature Recalibration and Discrepancy Augmentation for Multimodal Object Detection
- LHMCF-Net: A Learned Hyperbolic Mean Curvature Flow Network for Medical Images Segmentation
- OccluRank: Controllable Occlusion-Aware Layout-to-Image Generation by Adding Just an Ordinal Rank
- GAP-SAM: A Global Artifact Prior for Generalizable AI-Generated Image Manipulation Localization
- MentorPulse: Refreshing Cross-Model Latent Guidance for Long-Form Generation
- Source-Free MT Evaluation Is Not MT Evaluation
- ForeDreamer: A Self-Evolving Dual-Agent Memory Architecture for Future Event Prediction
- UpgradeBench: A Decision-Centric Benchmark for Upgrading Fine-Tuned LLM Specialists
- Semantically Compatible Knowledge Distillation for Cross-Domain Object Detection with Vision Foundation Models
- Explainable Deepfake Detection with Feature-robust Augmentation and Evidence-grounded Explanation Optimization
- InfinityEdit: Infinite Video Editing with a Lightweight Edit-Ignition Adapter
- EmotionDialogCN: A Spontaneous Multimodal Dataset for Mandarin Emotional Dialogue
- IMU-Free Body-Frame State Estimation with Sparse Scene Flow for Quadcopters
- EviRank: Structured Relevance Evidence for Multimodal Image Re-ranking
- Breaking High Confidence: Practical Face Impersonation under High-Security Thresholds
- LoRC: Detecting AI-Generated Images via Low-Rank Collapse in Semantic Residuals
- Multi-Modal Traffic Sign Detection with Semantic Attributes for Autonomous Driving
- In-Cell Learning: Language Models That Update Their Own Weights in Sequence Without Changing the File They Ship
- RDANet: Relative Degradation Aware Network for Infrared Small Target Detection
- Identify, Locate, Link: End-to-End Key-Value Extraction from Document Images
- Coverage-Driven Verification for Safety-by-Design in AI-Based Collision Avoidance Systems
- Sharing the Control Authority Between Deep Reinforcement Learning and Model Predictive Control: Application to Multi-Class Transportation Networks
- Ontology-Driven Structural Regularization for Document-Level Relation Extraction
- MGAL: A Multilingual Granularity-Aware Long-Context Benchmark
- Foundation Models for Partial Causal Identification
- KoViDoRe: Korean Visual Document Retrieval
- Advantage-level Aggregation Reinforcement Learning for X-point Target Magnetic Configuration Control in an EXL-50U Experiment-Calibrated Simulation Environment
- STAR-OPD: Structured Aspect-Cascade-Aware On-Policy Reward Distillation for ABSA Quadruple Extraction
- Fine-tuning LLMs for Tourist Trajectory Prediction using Field Experiment Data
- Prediction certification cannot replace explanation certification: a competence envelope for trustworthy AI under compound stress
- Resolution-Consistent Greedy Neural Approximation on Infinite-Dimensional Spaces
- When Images Look Right and Retrieve Wrong: Coverage-Guided Cross-Scale Re-Indexing for Knowledge-Faithful Generative Perception
- TRACE: Training-time Report-guided and Clinically Ordered Concept Editing
- Neuro-Geospatial Modelling of EEG Affective States Using Literature-Informed Environmental Context
- Routing Before Looking: Query-Adaptive Evidence Acquisition for Long-form Video Understanding
- Denoising the Future: Context-Aware Spectral Diffusion for Temporal Knowledge Graph Extrapolation
- CubicSplat: Differentiable Vector Graphics via Error-Bounded Forward Relaxation
- SPARC: Single-Pass Scaling for Motion Forecasting with Conformal Bayesian Last Layers
- Profiling What Matters: Context-Aware Item Profiles from Large-Scale Metadata for LLM Recommenders
- Dynamic Context Scheduling: Learning Beyond the Static Universe
- Knowing but Not Saying: Preventing Factual Access Failures in LLM SFT via Recall-Anchored Distillation
- M2Depth: Unifying Monocular Depth Foundation Priors with Multi-View Stereo
- MotionPhys: Detecting AI-Generated Videos via Physical Consistency of Optical-Flow Trajectories
- Do SpeechLMs Hear Their Own Opinions? Diagnosing and Mitigating Previous-Belief Contamination in Streaming Emotion Understanding
- Beyond Endpoint Gains: A Weight-Delta Audit of Medical Specialization
- DiGS-Avatar: Single-Image Animatable 3D Human Reconstruction via UV-Space Diffusion
- Hidden Axis of Uncertainty: Latent-Posterior Alignment in Graph Neural Networks with Bayesian Output Layers
- PSK at WMT 2026 MIST: Task-Specialized QLoRA Adapters for Multilingual Summarization and Question Answering
- Natural-Language-Guided Generator-Agnostic Shortlisting for Protein Binder Design
- SPARK-SAM: Learning How to Prompt and Respond for Infrared Small Target Segmentation
- Generating Multi-view Adversarial Examples for Visual Geometry Grounded Transformer
- VisTa3D: A Dataset and Benchmark for Thin Object Reconstruction from Vision, Tactile, and 3D Point Clouds
- Continuous-Time Quantum Walks based Graph Neural Network
- Enabling Memory-efficient Im2win Convolution with Multi-precision Support on GPU CUDA and Tensor Cores
- AGIDefect-4K: A Richly Annotated Dataset for AI-Generated Image Defect Detection, Localization and Explanation
- Privacy-Preserving Object Detection for Vision Transformer-Based Models
- AsmEvo: Agentic Assembly-Level Optimization of AMD GPU Kernels with Functional Equivalence Verification
- Geometric Regularization for Long-Tailed Semi-Supervised Learning via Gaussian Feature Bridges
- Bridging Language and Spherical Space: Object-Centric Control for Text-to-Panorama Generation
- Identity-Aware Human-Object Interaction Motion Captioning
- VortexChat: An agentic framework for autonomous multi-objective integrated photonic design
- TopoSurfel: Closing the Loop between Gaussian Surfels and Meshes for Surface Reconstruction
- CDRL: Certification-Driven Reinforcement Learning for Neutrino Flavor Model Discovery
- Aristotelian Manifolds: Leveraging Platonic Perceptual Features for Backpropagation Free Rapid Concept Learning
- Reinforcement Learning for Continuous-Time Jump Markov Decision Processes with Applications to Network Dynamic Pricing
- Lightweight Adaptive ReduNet via Hyperspherical Manifold Learning
- C-Score: Beyond Accuracy for Robustness Assessment in Semi-Supervised Learning under Open-World Unlabeled Contamination
- Amplifying the imaging power of digital sky surveys with space telescopes data and generative AI
- DreamBench-SWE: A Multi-Session Memory-Hygiene Benchmark for Software Agents
- Shortcut Learning in a Public Grape Disease Dataset: Annotation Granularity as a Modulator, Not a Cause
- Predicting Resource Efficient Hamiltonian Decomposition for Continuous-Time Quantum Walk Simulations
- Lift, Associate, and Fuse: A Decision-Centric Framework for 2D-to-3D Foundation Model Transfer
- RiskTraf: Risk-Extrapolated Residual Learning for Multi-Variate Traffic Flow Prediction
- Meta-clustering of milk mid-infrared spectra identifies dairy cow groups associated with negative energy balance in early lactation
- Beyond Effectiveness: A Multi-Criteria Framework for Comparing Practical Socio-Technical Interventions
- Directional Contextual Representations for Dependency Relations: Why Cross-Direction Pairing Fails
- One Hierarchy, Two Systems: Semantic Product IDs for Discovery-Surface Ranking and Search-Page Query Reformulation
- MV2GF: Multi-view Pedestrian Detection with a Visual Geometric Foundation Model
- Adam at the Edge of Stability: Adaptive Feedback, Provable Oscillation, and Gradient Reversal
- MIL-BERT: Classification of Arbitrarily Large Text with Performance and Explanatory Guarantees
- AgentMercury: Your Agent Can Synthesize Verifiable Environments for Business Scenarios at scale
- SAGE: A Unified Algebra and Self-Adaptive Execution for AI Functions in SQL