Papers
Fri 25 Sep 2026
514 papers
- Freeze the Decoder, Heal the Encoder: Parameter-Efficient Adaptation for SVD-Based KV-Cache CompressionEfficient LLM inference and serving → KV cache optimization
- Regime Boundary Alignment for Evidence-Gated Question AnsweringRetrieval-augmented generation → RAG robustness and adaptive retrieval
- On Evaluating and Improving Conversational Agents in ProductionLLM agents and tool use → Social simulation and multi-agent debate
- Toward Interactive Understanding of Code APIsLLM agents and tool use → Software engineering coding agents
- Find Something You Can't Do: Agentic Real-World Reinforcement Learning for Self-Improving VLA ModelsVision-language-action models → Reinforcement learning and post-training +1
- Grasp2Twist: Learning Bimanual Dexterous Jar Opening by Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- EngramRAG: Dynamic Usage-Weighted Topology and Synaptic Consolidation for Multi-Hop Agentic MemoryLLM agents and tool use → Agent memory systems
- Receiver-Conditioned Latent Communication gives 94% CacheBackEfficient LLM inference and serving → Efficient reasoning and agent inference
- Quantization Thresholds Replicate, Failure Modes Do Not: A Three-Model Study of Agentic Tool Use in Polish from 8-bit to 2-bitLLM agents and tool use → Tool learning and function calling
- Reasoning Concentrates Errors, and Self-Consistency Never NoticesLLM reasoning → Reasoning benchmarks and evaluation
- SilentCall: Hidden Tool-Call Backdoors in Open-Weight Agents, and How to Catch ThemLLM agents and tool use → Agent threats, guardrails and governance +1
- TriO: Tri-Modal Unsupervised Occupancy World Model for Anything PerceptionWorld models → World modeling from LiDAR generation
- Before the Rollout Ends: Early Terminal Reward Prediction for Long-horizon Coding AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- Mechanistic Interpretability Reveals Shared Causal Subspaces in Brain-to-Speech DecodersMechanistic interpretability → Circuits and mechanistic analysis
- CSI-Agent: LLM-Assisted Few-Shot Adaptation for Cross-Domain Wi-Fi CSI SensingLLM agents and tool use → Agentic AI for wireless networks
- Does Vision-Language Pretraining Granularity Matter? A Controlled Evaluation of Vision-Language Objectives Across Chest X-Ray Interpretation TasksMultimodal LLMs / vision-language models → Medical vision-language models
- Goal-Persistent Coding Agents as Scientific Performance Engineers: A Fixed-Radius Nearest-Neighbor Case StudyLLM agents and tool use → Software engineering coding agents
- Symbolic Guidance for LLM Agents in Distributed Multiagent CoordinationLLM agents and tool use → General LLM agent frameworks and benchmarks
- CaptchaArena: A Large-Scale, Fine-Grained Dataset for Training Computer-Use Agents on Interactive CAPTCHAsLLM agents and tool use → Multimodal and embodied agents +1
- On-Policy Attention LinearizationLLM reasoning → Test-time compute and efficient thinking
- BioDyad: Synchronize Biomedical Discovery and Machine Learning EngineeringLLM agents and tool use → Medical and scientific domain agents
- Cache-Aware Conv3D Lowering Across Embedded World-Model DecodersWorld models → Video-generation world models and simulators
- Verification as an Architectural Layer for LLM Agents: A V-Model Design, and a Pilot Study of Its Deterministic CoreLLM agents and tool use → Software engineering coding agents
- ANaLOG: Anisotropic Native-Latent Operator Guidance for Solving Inverse ProblemsDiffusion models → Inverse problems and image restoration
- Overview of the TREC 2025 Million Large Language Models trackLLM agents and tool use → Web, search, and research agents
- Enhancing Visual Reasoning in Chest X-Ray Report Generation Using Reinforcement LearningLLM reasoning → Clinical and biomedical applications +1
- EmailBench: A Benchmark for Evaluating LLM Agents on Enterprise Email and Productivity TasksLLM reasoning → Reasoning for agents, planning and code +1
- GT-VLA: Target-Conditioned Trace Guidance for Generalizable Robotic ManipulationVision-language-action models → Generalist VLA models and benchmarks
- Choir: An Open Protocol for Distributed Multi-Agent AutoformalizationLLM agents and tool use → Software engineering coding agents
- Understanding the Synergy between SFT, RLVR, and OPD in LLM Post-TrainingKnowledge distillation → On-policy and self-distillation for LLMs
- CyberWorld: World Models for Sample-Efficient Autonomous Cyber DefenseWorld models → World model security and GUI agents +1
- NVAlign: Direct-Gradient Optimization for Non-Verbal Control in Continuous Autoregressive Flow Matching Text-to-SpeechDiffusion models → Audio, speech and music
- FARE: Deep Reinforcement Learning For Fair Exposure Constrained Uncertainty Aware Financial Content PersonalizationDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Agents Can Use Base Models to Evade AI DetectionLLM agents and tool use → General LLM agent frameworks and benchmarks
- COUNTERMEM: World-Model Verified Counter-Factual Memory for Language AgentsWorld models → World models for language agents +1
- CueKFS: Agentic Cue-Driven Keyframe Selection for Long Video UnderstandingLLM agents and tool use → Multimodal and embodied agents
- Deep Reinforcement Learning for Equity Trading: Benchmarking Actor-Critic Methods with Forward RetrainingDeep reinforcement learning methods → Adversarial robustness and RL in finance
- PHIRL: Aligning Learned Rewards with Task Progress for Inverse Reinforcement LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- Omni-IO Skills: Harnessing Your Agent Omni-NativeLLM agents and tool use → Software engineering coding agents
- SynDORBench: Evaluating LVLM Perceptual Robustness Under Physically Constrained Visibility ConditionsLLM reasoning → Multimodal reasoning +1
- DriveHierarchy: A Benchmark for Diagnosing VLM Driving Capabilities from Open-Loop Understanding to Closed-Loop ExecutionEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies
- ConflictVLA-Bench: Benchmarking Behavioral Responses of Vision-Language-Action Models to Premise ConflictsVision-language-action models → Failure recovery and robustness
- MammoClaw: Towards Skill-Evolving Agent Harness for Breast Cancer Mammography AnalysisLLM agents and tool use → Medical and scientific domain agents
- Learning to Stop without Learning to Stop: Self-Supervised Confidence Training Improves Reasoning EfficiencyLLM reasoning → Test-time compute and efficient thinking
- First-Order Stationarity of Reverse DiffusionsDiffusion models → Diffusion foundations and sampling
- Learning Robot Policies from Sparse Success Signals via STL-Guided Stein Variational Policy GradientDeep reinforcement learning methods → RL for robot locomotion and manipulation
- User Model Extraction via Belief Self-DistillationKnowledge distillation → Knowledge distillation for LLMs
- Compact Documentation for Coding Agents: A Benchmark, an Optimizer, and Why It Does Not TransferLLM agents and tool use → Software engineering coding agents
- Trust Guided Decision TransformerOffline RL and imitation learning from data → Decision transformers and sequence modeling
- Strategically Diverse Sampling for Self-TrainingLLM reasoning → Reinforcement learning for reasoning +1
- DeepEdu-v1: Efficient and Scalable Agentic LLMs for Vietnamese EducationLLM agents and tool use → Educational agents and math problem solving
- Multi-agent Scaling Across Disjunctive and Compensatory TasksLLM agents and tool use → General LLM agent frameworks and benchmarks
- Region-Level Black-Box Defense Against Stealthy Embedding-Space Backdoors in CLIPLLM safety and security → Vision-language and text-to-image safety
- EAServe: Encode-Aware Disaggregated Serving for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- A Flow Matching Framework for Neural Representational DissimilarityDiffusion models → Flow matching, time series and science
- Structured Reasoning Agentic Framework for Interpretable Critical View of Safety AssessmentLLM reasoning → Clinical and biomedical applications
- Segment-Level Agentic Topic Modeling for Improved Data Exploration and Resource EfficiencyLLM agents and tool use → Web, search, and research agents
- Diagnosing the Sources of Compositional Failure in Vision-Language Models: A Controlled AnalysisLLM reasoning → Multimodal reasoning +1
- TemplateCraft: Agentic Visual Template GenerationLLM agents and tool use → Multimodal and embodied agents
- From Reward Signal to Visual Utility: A Controlled Audit of Medical VLM Post-TrainingMultimodal LLMs / vision-language models → Medical vision-language models
- ViSTA: A Simple Bridge Extends Visual Alignment to Clinical Time-Series Understanding in Multimodal LLMsMultimodal LLMs / vision-language models → Medical vision-language models
- Compress What You See, Not What You Say: Anchored Context Distillation for Latent-Observation Software Engineering AgentsLLM agents and tool use → Software engineering coding agents
- Towards Mitigating Fabricated Consensus: The Active Provenance Gate for Multi-Agent Debate SynthesisLLM agents and tool use → Social simulation and multi-agent debate
- CognitiveReality: Robot-Agnostic Semantic Gaussian Mapping with an LLM Agent for Immersive Collaborative VR TeleoperationLLM agents and tool use → Multimodal and embodied agents
- Evaluating the accuracy of KV cache reuse techniquesEfficient LLM inference and serving → KV cache optimization
- Sorry Robot, Happy Human: Vision-Language Models Read Only One of Two Legible Typographic LayersMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- ActKV: Efficient LLM Agents through Action-Guided KV Cache ManagementLLM agents and tool use → Agent memory systems +1
- InternW0-Δ: A World Action Model Bridging Predictive Dynamics and Actions with 20K+ Hours of Open DataWorld models → Embodied and robot world models
- Guiding End-to-End Driving Models with Endpoint-Constrained Trajectory OptimizationEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- ContraFM-S2O: Flow Matching-Based One-step SAR-to-Optical Image Translation Model with Contrastive LearningDiffusion models → Inverse problems and image restoration
- RECAST: From Log Replay to Closed-Loop Driving Simulation with View-Complete ActorsEnd-to-end autonomous driving → Generative simulation for driving
- A Safety-Bounded SDC-to-MCP Gateway for Medical AI AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Open Vocabulary Domain UnlearningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP +1
- DyMD: Preserving Interaction Dynamics through Distribution Matching Distillation in Few-Step Video World ModelsWorld models → Embodied and robot world models +1
- Stale-Document Poisoning: When Outdated Retrieval Overrides Correct Model AnswersRetrieval-augmented generation → RAG robustness and adaptive retrieval
- AgentXploit: Autonomous Repository-to-Runtime Red-Teaming for AI AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- Towards VLA-Dreamer: Refining VLA Behavior Using World ModelsWorld models → Embodied and robot world models +2
- Beyond Approved Actions: Runtime Validation of Persistent Outcomes in Agent WorkflowsLLM agents and tool use → Software engineering coding agents
- G2MAF: Test-Time Gradient Guidance for Multi-Agent Flow PoliciesOffline RL and imitation learning from data → Offline multi-agent RL
- MA-WAM: Multi-Agent World-Action Model for Test-Time PlanningWorld models → Latent dynamics models and model-based RL
- DIAL: Position-Debiased LLM Judges with Adaptive Human Preference CalibrationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Enabling a Unified Cross-Domain Representation for Two-Finger Gripper Manipulation via Interaction-Centric ModelingOffline RL and imitation learning from data → Robot manipulation imitation learning
- Enhancing Photogrammetric Digital Surface Models with Pretrained Diffusion Models and Multimodal ConditioningDiffusion models → 3D, point cloud and scene generation
- Who Says What: Symbolic Trimodal Binding Mechanisms in Audio-Visual LLMsLLM reasoning → Audio-language model reasoning
- AgentRecommender: LLM Agents Enable Customizable Recommender Systems on the User SideLLM agents and tool use → Agentic recommender systems
- WorldTS: World Modeling for Multimodal Covariate-aware Time Series ForecastingWorld models → Latent predictive world models
- I Act Therefore I Am: When Is JEPA's Action-Conditioning Enough to Learn Causal Mechanisms?World models → Latent predictive world models
- CRNDiff: Count-Native Diffusion Framework via Chemical Reaction NetworksDiffusion models → Flow matching, time series and science
- JevAdvBench: A Benchmark and Black-Box Attacks for Reinforcement Learning for Calibrated Decisions ModelsDeep reinforcement learning methods → RL training of language and agent models
- Unknown-Traffic Detection, Calibration and Shortcut Reliance in Distilled Encrypted-Traffic Classifiers over One YearKnowledge distillation → Federated, robust and private distillation
- Can Linguistic Reasoning Vectors Enhance Multimodal Reasoning Ability?LLM reasoning → Multimodal reasoning +1
- INTERACT: Interactive Planning for Autonomous Driving via Anchor-Conditioned Prediction and Trust-Region RefinementEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- LocUS: Head Selection and Subspace Projection for Targeted Activation SteeringMechanistic interpretability → Activation steering methods
- Monitor Jailbreaking: Evading Chain-of-Thought Monitoring Without Encoded ReasoningLLM reasoning → Prompting and chain-of-thought reasoning +1
- DualManip: Agentic Dynamic Manipulation via Dual-Path Semantic Reasoning and Geometric AdaptationLLM reasoning → Spatial and embodied reasoning +2
- DepthEvidence: Unifying Metric Depth Prediction and Geometric Reasoning in Multimodal Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- A Flatness-Generalization Relation in the Teacher-Student Tree-Committee MachineKnowledge distillation → General knowledge distillation methods
- Up and Down the Abstraction Ladder: Code-Based Skills for Language AgentsLLM agents and tool use → Agent skill learning and evolution
- Quantum Diffusion Models for Medical Image AnalysisDiffusion models → Medical imaging and segmentation
- Modeling quantum neural network gradient with reinforcement learningDeep reinforcement learning methods → Quantum reinforcement learning
All 514
- CG-Probes: Recovering Guardrail Directions from Patient Query EmbeddingsLLM safety and security → Safety alignment, refusal and guardrails
- Neuralyzing the Trace: Selective Representation-Level Unlearning with Contrastive Sparse AutoencodersLLM safety and security → Machine unlearning +1
- Cheap, open agents make LLM pollution harder to mitigateLLM agents and tool use → Social simulation and multi-agent debate
- Where Compute Matters: Heterogeneous Attention for Efficient Video DiffusionDiffusion models → Video generation
- Kintsugi-VLA: Turning Failed Robot Rollouts into Recovery Data through Interventional RecoverabilityVision-language-action models → Failure recovery and robustness
- DynBranch: Speculative Subgraph Reuse for Dynamic Agentic LLM ServingLLM agents and tool use → Software engineering coding agents +1
- TempQ-Jail: Query-Constrained Candidate Ranking for Text-to-Video Jailbreak AttacksLLM safety and security → Jailbreaking
- Precision at Speed: Sample-Efficient Online Model-Based Reinforcement Learning for Hydraulic Excavator ControlDeep reinforcement learning methods → RL for robot navigation and UAV control
- Robust Successor FeaturesDeep reinforcement learning methods → Deep RL algorithms and representations
- ZooWork-ShopRanker: An Open, Preference-Aligned E-Commerce RerankerLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- The Linear Representation Hypothesis for Vision-Language-Action ModelsVision-language-action models → VLA architectures and generalization +1
- FLIP: Final Layer Inference-Time Probing for Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- PhoenixSR: Generative Heterogeneous Distillation Unleashes Efficient Models for Real-World Super-ResolutionDiffusion models → Inverse problems and image restoration
- FeatMark: Feature-level Watermark Protection against Mimicry Attacks with Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- CCRV-Bench: Constraint-Based Evaluation of Causal Reasoning in Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- Does Uniform Discrete Diffusion Need Time?Diffusion models → Discrete and text diffusion
- SciHorizon-eLab: An Agentic Protocol-to-Task Compiler for Scalable Benchmarking of Scientific Embodied AgentsLLM agents and tool use → Multimodal and embodied agents
- FRAM: Trajectory-Guided Visual Feature Selection for Compact Language-Conditioned Robot ManipulationVision-language-action models → World model-based VLA
- FTB Graph: Determining and Validating First-token Broadcasters and Language-Identity Head Circuits in Multilingual Language ModelsMechanistic interpretability → Knowledge and representations inside LLMs
- MVVBench: Benchmarking 4D Reasoning in Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- PORL: Pretrained Offline Reinforcement Learning for the Job Shop Scheduling ProblemOffline RL and imitation learning from data → Offline RL algorithms
- OneWorld: Learning Consistent Physics Across Actions in World ModelsWorld models → Latent predictive world models
- LogicTree-RAG: Logic Tree-guided Retrieval-Augmented Generation for Long-form Patent DraftingRetrieval-augmented generation → Legal and financial RAG
- Financial Fragility in Societies of LLM Agents: Coordination Failures and Stabilizing MechanismsLLM agents and tool use → Financial trading and forecasting agents
- MACBT: A Multi-Agent Cognitive Behavioral Therapy Decision Support System with Longitudinal MemoryLLM agents and tool use → Medical and scientific domain agents
- Self-Play Search Distillation for Large Language Model ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- UltraG-Bench: A Multi-task Benchmark for assessing Large Vision-Language Models on Pixel-level Evidence Grounding in UltrasoundMultimodal LLMs / vision-language models → Medical vision-language models
- Causeway: Restoring Task Accessibility for Instruction Switching in VLA PoliciesVision-language-action models → Failure recovery and robustness
- ToolSearcher: Optimizing Tool Selection at Scale via Reinforcement LearningLLM agents and tool use → Tool learning and function calling +1
- QReason: Query-Focused Decoupled Chain-of-Thought for Efficient Passage RerankingLLM reasoning → Knowledge- and tool-augmented reasoning
- From annotation to reasoning: Culture in language modelsLLM reasoning → Reasoning benchmarks and evaluation
- From Tapping to Hopping: Augmenting Mobile GUI Agents with App-Native DeeplinksLLM agents and tool use → GUI and mobile agents
- CacheReforge: Bounded Recovery for Stale KV Caches under Evolving AdaptersEfficient LLM inference and serving → KV cache optimization
- TISD: On-Policy Self-Distillation with Trajectory InterventionKnowledge distillation → On-policy and self-distillation for LLMs
- VLaRL: Augmenting Vision-Language-Action Models with Simulation-Trained Latent-Conditioned Residual RLVision-language-action models → Reinforcement learning and post-training
- Persistent Negatives for Adversarial Black-Box On-Policy DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- SkillEvoReg: Regularizing Agent Skill Evolution Against OverfittingLLM agents and tool use → Agent skill learning and evolution
- Learning Chance-Constrained MDPs with Bellman Distributional CertificatesDeep reinforcement learning methods → RL theory and sample complexity
- The KV Cache Is the New Memory WallEfficient LLM inference and serving → KV cache optimization
- Enhancing Assessment of Self-Consistency in LLM Explanations using Perturbation StrengthLLM reasoning → Reasoning benchmarks and evaluation
- Why Jailbreaks Succeed in Diffusion Language Models: An Energy Landscape AnalysisDiffusion models → Discrete and text diffusion +1
- Aligning One-Step Generative Models with Reward-Weighted Transport DistillationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- MOPD-Router: Rethinking Teacher Routing in Multi-Teacher On-Policy DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- Fast Plans, Faithful Actions: Closing the Planning-Execution Gap in Hierarchical Vision-Language-Action ModelsVision-language-action models → Efficient VLA inference and adaptation
- Evaluation Is All You Need for Multi-Modal Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Understanding the Role of Prompt Template in Knowledge Distillation for Safety AlignmentLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +2
- Evaluating Real-Time Voice Agents: From Component Quality to Grounded OutcomesLLM agents and tool use → General LLM agent frameworks and benchmarks
- HasMem: Hard-Origin Adaptively Softened Memory for Long-Term LLM AgentsLLM agents and tool use → Agent memory systems +1
- ConsultMind:Towards Automated Diagnostic Consultation via Uncertainty-Aware ReasoningLLM reasoning → Clinical and biomedical applications
- Skip the Talk, Re-Focus on Vision: Latent Reasoning for Reasoning Segmentation in Multimodal Large Language ModelsLLM reasoning → Multimodal reasoning +1
- Does Thinking Help Fairness? Reasoning Tokens Resolve Some Biases but Create MoreLLM reasoning → Prompting and chain-of-thought reasoning
- Timo: Taming Multimodal Diffusion Transformer for Human Motion GenerationDiffusion models → Video generation
- Beyond Mean Attention: Diversity-Aware, Layer-Wise Scoring for KV Cache EvictionEfficient LLM inference and serving → KV cache optimization
- Learning What to Skip: Counterfactual Credit Assignment for Efficient Multi-Agent LLM WorkflowsLLM agents and tool use → Software engineering coding agents
- Analyzing and Mitigating Cost-Inefficient Behaviors in Coding AgentsLLM agents and tool use → Software engineering coding agents
- EviDETR: Preserving Query-Relevant Temporal Evidence for Moment Retrieval and Highlight DetectionMixture-of-experts → Vision mixture-of-experts
- RecToolBench: Benchmarking Recommendation-Specific Tool Orchestration under Fuzzy User IntentLLM agents and tool use → Agentic recommender systems
- Recommendation World Models for Future-State ControlWorld models → Latent dynamics models and model-based RL
- The Price of Thought: Does Test-Time Reasoning Pay in LLM Trading?LLM reasoning → Test-time compute and efficient thinking
- MM-VeriAgent: Learning to Use Extensive Tools to Verify Multimodal Misinformation with Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- Learning Vision-Based Agile Gap Traversal: Differentiable Simulation with a Warm-Started CriticDeep reinforcement learning methods → RL for robot navigation and UAV control
- StarWM: Self-Supervised Trained Attention Routing for Robust World ModelsWorld models → Video-generation world models and simulators
- LLM Parkinsonism: Executive-Control Failure, Token-Inefficient Persistence, and an Uncertainty-Aware Global Executive Control Architecture for Autonomous Language-Model AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- DiffusionShadow: Diffusion-based Shadow Caching for Neural Volume RenderingDiffusion models → 3D, point cloud and scene generation
- Prompt Injection Detection for Email Agents Through Attack Chain ModelingLLM safety and security → Prompt injection and agent security
- Recursive Self-Improvement via On-Policy Distillation for ReasoningKnowledge distillation → On-policy and self-distillation for LLMs
- Algebraic Integer Quantization for Machine Learning Applications
- Child ASR Adaptation with Adult Retention: An Empirical Study
- PanoPed: Beyond Bounding Boxes for Sim-to-Real Panoramic Pedestrian Tracking
- Autonomous Driving Research Requires a Community-Driven Data Paradigm
- HCPN-GCN: Scaling Hierarchical Prototype Networks with Cone Geometry for Continual Graph Learning
- A Vehicle-Integrated Approach to Digital Twin Deployment for Bridges Through Drive-By Sensing
- LENS-GRF: Permutation-Invariant Lesion Evidence Network with Gated Residual Fusion for Acne Severity Grading and Multi-Rater Clinical Oracle Analysis
- Multi-Jurisdictional Legal Identity Assurance for Capability Gating: A Design-Science Proposal for Tiered, Reusable Identity Assurance of Natural, Juridical, and Machine Entities
- Partial AUC Maximization from Positive-unlabeled Data
- Knowing When to Yield: Grounded Arbitration of User Corrections in Text-Based Embodied Agents
- Airfoil2Vec: Spectral Geometry-Conditioned Neural Surrogate Models for Airfoil Aerodynamics and a Downforce-Generating CFD Dataset
- Label Less, Learn More: Resource-Efficient Active Semi-Supervised Learning for Onboard Satellite Image Annotation
- Do Evidence-Reading Diagnostics Improve Interface Selection in Small LLM Recommenders?
- CRASM-Gate: Deterministic-First Constraint- and Role-Aware Semantic Mapping with Selective Model Assistance Across Heterogeneous Industrial Standards
- Resolving the Missing Financial Data Crisis: A Generative AI Pipeline for SEC 10-K Extraction
- Beyond Discrimination: Calibrated Geoprior Fusion for Bioacoustic Monitoring
- The Detectability Gap: Hidden Heterogeneity in Hallucination Detection Across Language Models
- Beyond Keywords: Leveraging Generative LLMs and Label Aggregation to Classify Economic Policy Uncertainty in News Articles
- Mara Chain: Rethinking Failure as a Stepping Stone for AI System Auto-Evolution
- Position: Let's Strengthen Verifiability If We Can't Enforce Reproducibility
- A Mesoscopic View of Transformer Weights Through Row and Column Scale Fields
- Learned Compression of SAR Phase-History Data: A Rate-Honest Feasibility Study on GOTCHA
- Hyperspherical Semantic Trajectory Analysis: Mapping Technological Diffusion across Academic Preprints, Patent Signals, and Compute Scaling
- Period Segmentation in Transition Network Analysis: A Topological Data Analysis Approach
- GameBoyWorlds: A Testbed for Self-Improvement in Embodied Video Games
- Memory as Middleware for Self-Improving AI Agents
- When Should a Human Take Back Control? Optimal Delegation under Turbulent AI Risk
- mu-bench: A Multilingual Utterance Transcription Benchmark
- ReFM: Semantic-Aware Refinement Flow Model for Motion Retargeting
- Correcting the Dropout-LayerNorm Expectation Gap Improves Protein Structure Models
- Contract monitoring: governing AI via separation of powers
- Depth Laws for the Precision Floor of Trained Neural Networks: Amplification, Residual Scaling, and a Quantization-Aware Training Paradox
- Graph Forward Distribution Matching for Molecular Inverse Design
- Tracing Decoder Artifacts for Compact Synthetic Speech Screening
- Interactive Distributionally Robust Multi-Agent Learning with General Function Approximation
- Amnesia by Design, Memory By Necessity: Persistent State for Document Intelligence
- ControlGS: Conditioning Neural Gaussians for Downstream-Processing-Aware XR Rendering
- ScreenHaystack: Finding Blind Zones in GUI Grounding
- Who Governs Data in the AI Era? A Computational Analysis of the U.S. Privacy Workforce in Job Postings
- Depth Any Seen: Which Surfaces and How Far?
- Continuous-Time Trajectory Generation from Discrete Observations with Stochasticity
- A Benchmark for LLM's Understanding of Middle School and High School Science Topics
- Decentralized Master-Mind: Joint Action Refinement through Iterative Intent Denoising in Multi-Agent Pathfinding
- Representation Learning for Exact Preimages
- VoiceNet: Fine-Grained Voice Understanding Beyond Emotion at Scale
- Human Activity Recognition via Ultra-Wideband Data: A Framework for Dimensionality Reduction, Pattern Discovery, and Predictive Modeling
- Is invariance all you need for algorithmic fairness? Removing demographic information can create new bias
- What Does the Rank Buy? A Spectral and Distributional Analysis of Low-Rank Adaptation
- SenseAgent: An LLM Agent for Adaptive Cross-Domain IMU Sensing
- VC Dimension and Expressivity of Real-Valued Transformers
- Type-Balanced Federated Learning for Visual Analog Meter Reading
- Integrating Language Models into Listened and Imagined Speech Decoding from MEG
- Can Circuit Alignment Predict OOD Generalization?
- Identifiability Limits of Gravitational Wave Phase Deviations: Multiclass Classification with a Multihead Neural Network
- Communication between Frozen Large Language Models via Prompt Optimization in a Referential Game
- Lagrangian and Hamiltonian Neural Networks With a Dissipative System
- Understanding the Subspace Stabilization of the Hessian and Gradient Covariance Matrix
- Evasion Attacks on Cost-Utility-Based Adversarial Training for Online AutoML in IoT Networks
- Bridging Stochastic Flow Maps and Boltzmann Generators with Normalizing Flows
- Toward Embedding-Based Psychometrics: Structural Modeling of Assessment-Item Semantics With Contextual Scores
- Model Casting and Low-Parameter Gating: Towards More Sparsely Activated FFNs
- Extraction of clinical findings from mammography and breast ultrasound reports: a comparison between specialists and Artificial Intelligence
- Double-Edged Sword of Mediated Visibility: How Visual Framing Undermines Congresswomen's Perceived Competence
- IndicFDB: Benchmarking Full-Duplex Voice Agents across Indian Languages
- SNIP++: Fine-Grained Symbolic-Numerical Alignment for Symbolic Regression
- Improving Audiovisual Speech Recognition through Synthetic Visual Data Augmentation
- Model-Agnostic Online Certificate-Driven Calibration for Time Series Forecasting Under Distribution Shift
- Transformer MLP Gate Thresholds Are Couplings to a Carried Reference Direction
- Simple Extensions of Single-Objective Acquisition Functions and Hedge Strategies for Multi-Objective Bayesian Optimization
- Resource-Aware Federated Mixture-of-Experts with Adaptive Pruning for Onboard Learning in LEO Satellite Constellations
- Artificial Neural Network Assisted Modelling of Tangent Galvanometer Measurements for the Determination of Horizontal Component of Earth's Magnetic Field
- Recipe-Matching, Not Equivalence
- Vibe Analysis: Exploring LLM Adoption by Data Visualization Practitioners
- ROTE: Benchmarking Neural Memorization on Complexity-Controlled Symbolic Sequences
- Facial classification Using Hybrid Quantum Machine Learning
- PredRA: Fast Medical Image Translation by Deterministic Component Extraction and Controlled Stochastic Refinement
- Improving Medical Calculation of LLMs with Embedded Coding
- MAESTRO: a Multimodal Auditory-attention Egocentric Speech-TRacking Open corpus
- Context-dependent agent evaluation with orthogonal equilibrium learning
- Auditing Quality Filters for Long-Tail Human Data Curation
- Knowledge-Driven XRD Phase Identification via Multi-View Retrieval and Explanation
- DOHF: Online Diffusion Fine-tuning with Doob's h-transform Guidance
- TemporalGraphLLM: Temporal Graph Neural Networks with Large Language Models for Dynamic Text-Attributed Graphs
- A Large-Scale Benchmark and Risk Assessment of Traffic Analysis Attacks on Cloud LLM Services
- IndustryLLM: Failure-Driven LLM Training for Industrial Procurement
- Metro-WM: Long-Horizon Latent Planning with Realisable Sub-Goals
- AirLog: Store-Level Indoor Life Logging Made Easy
- Prompting Particle Physics: Tokenized Multi-modal Foundation Models for Combinatorially Many Tasks
- LLM Judge Validation Under Sparse Overlap: From Inference to Design
- Averaged Mirror Descent and Dual Gradient Methods: Convergent Algorithms for Entropic Gromov-Wasserstein Problems
- A Surgical Foundation Model Reveals Task-Dependent Label Efficiency
- Relational Compression: A Framework for Relational Fidelity in Constrained Representations
- Awaken, Then Scale: Tiny Adaptation for MRI Reconstruction
- Beyond Sparsity: Weight Location and Network Context in Pruned MRI Reconstruction
- Video-to-Music Generation for Gameplay Videos
- Medium-Term Multi-Resolution Electric Load Forecasting using Economic Data and Foundation Model
- Electric Potential Patterns Forecasting in the Southern Hemisphere with Deep Learning Techniques
- seq2cause: One Autoregressive Backbone, Four Causal Discovery Tasks in Event Sequences
- Same Probe, Different Numbers: Are Activation Probes Robust to Inference-Time Numerical Non-Determinism?
- Rate-Adaptive One-Step Diffusion Compression for AIGC Images
- Working with AI: A Design Framework for Human-AI Collaboration
- CP-Agent: A Harness-Engineered Agent for Crystal Plasticity Simulation Workflows
- SelfCue: Making a 3D CT Report Generator Say What It Already Knows
- FuseReg: Regularizing Layer Fusion Mitigates the Reconstruction-Generation Gap in Representation Autoencoders
- Gap-free Differentially Private PCA for Gaussian Data
- Statistical attribute alignment for black-box generative AI via output post-processing
- New LoRA Skills Should Read but Never Write
- GraphWrit3R: End-to-End 3D Scene Graph Writing
- Common-Mode Collapse and Recovery in Direct Feedback Alignment
- How Far Can INRs Go? Cross-Domain Parameter-efficient INR-Based Semantic Segmentation for Brain MRI
- OC-GS: Gaussian Splatting for Irregular Turntable Capture
- Uncertainty and Explainability in Deep Rough Volatility: A Neural Information-Theoretic Posterior Approach
- Adapting for AI: How elementary teachers adjust their practices for an AI-integrated curriculum
- Weight Pair Encoding: Inducing a Smaller Grammar in Neural Network Weights
- Generalization behavior of OPTQ and the role of regularization
- Online Learning via Learned Latent Bayesian Tracking
- MexHat: A Dataset for Hate Speech Detection in Mexican Spanish Videos
- Two Conformal Constructions for Adaptive Within-Document AI-Text Screening
- BeatGraph: Self-Supervised Heartbeat Graphs for Infant ECG Representations from the Home Environment
- Can You Check That? The Checkability Boundary for Local LLM Network Automation
- NEXT: Physics-Informed Neuro-Spectral Exponential Time Differencing Architectures
- HySTAR: Anchored Hypergraphs for Stable Credit Assignment in Cooperative Multi-Agent Reinforcement Learning
- Retrainable physics-integrated neural differentiable modeling of sintering across material systems
- Forensic Twins: Self-Supervised Residual Learning for AI-Generated Image Forensics
- Statistical Foundations for a Google Play User-Review Sentiment Index: Signal Fusion, Shrinkage, Distributional Validation, and Dynamic Smoothing
- Muslim: A Deployed Arabic Voice AI Platform for Grounded Islamic Knowledge
- ClearGS: Reliability-Aware Gaussian Splatting from Handheld Videos
- SatNav: A Scalable Benchmark for Long-Horizon UAV Vision-Language Navigation from Satellite Imagery
- Evaluating Cultural Awareness of LLMs for Haitian Creole
- Prompt Minimization: Reducing Input Redundancy Without Sacrificing Output Fidelity
- Retail Product Search: A Practical Approach at Target
- UQ-LOB: Uncertainty-Aware Limit Order Book Mid-Price Forecasting
- Scaling Density Functional Theory with Gaussian Splatting
- "AI is (not) the new...": A Diagnostic Analogy Framework for Generative AI's Cultural Impacts
- Game Arena: Strategic LLM Evaluation in Competitive Environments
- Beyond Empirical Support: Structured Outlier Generation via Sinkhorn Optimal Transport
- LandscapeSHAP: Which Persistent Homology Class Gets the Credit?
- PriceBench: A Diagnostic Benchmark for Price, Quality, and Brand Preferences in LLM Booking Agents
- Scaffold: Support Graph Theory Based Sparsification for Graph Neural Networks
- Uncertainty-Aware Federated Learning for Infant Movement Analysis
- KneePreM: Towards 3D Knee MRI Foundation Models via Large-Scale Unlabeled Pretraining and Label-Efficient Fine-Tuning
- Nonparametric In-Context Learning under Growing Geometric Complexity: Minimax Optimality and Local Geometry-Adaptivity of Transformers
- Different Corruptions, Different Signals: Uncertainty and Loss in Federated Data Quality
- Vision-Based 6-DoF Grasp Pose Estimation for Robot Cloth Unfolding
- Implicit Neural Representation for Hyperspectral Video Compression
- AxonSynth: Domain-Randomized Synthetic Data for Zero-Shot 3D Axon Segmentation in Light-Sheet Microscopy
- AFA-Net: A Differential Attention Approach for Auditory Attention Detection
- Decodable In-Context State and Model Output Across Training
- Differential Attention Unlocks Complementary EEG and Speech Fusion for Emotion Recognition
- Intent2Tc: Automated Intent-to-Traffic Control Translation with Language Models
- Multivariate conformal uncertainty propagation in multitask atomistic simulation: Successes and pitfalls
- Highlight-Then-Summarize: Learning to Compress Evidence for Long-Context Understanding
- Evaluating Budgeted Context Projection with Unexecuted Companion Runs
- Towards Whole-Study Screening for Congenital Heart Disease in Fetal Ultrasound Using Multiple Instance Learning
- Towards Understanding LLM-Based Log Anomaly Detection: An Empirical Study of Performance, Efficiency, and Robustness
- Equation discovery with Bayesian tree-adjoining grammars
- OpenVAM: Open-World Visual Attention Modeling with VLMs
- Brenier Meets Adversarial Training: Optimal Transport Geometry for Robust Learning
- Programs-of-Layers in LLMs through the Lens of Cortical Areas
- Mutable Transcripts: Mitigating Context Pollution through Editable Conversation State
- Progressive Memory Transformer: Memory-Aware Attention for Time-Series
- The Right Information Extraction Pipeline Depends on the Document: Accuracy-Energy Trade-offs for Small, Local Models
- ChronoFuseGS: Multi-Temporal Gaussian Fusion with Per-Splat Persistence and Change Visualization
- Bridging Body and Brain: Gene-Driven Morphology--Control Co-Design
- CG-HAF: An Interpretable Global-Local Lesion-Burden Fusion Framework for Ordinal Acne Severity Grading in Agentic Skincare Support
- More Sensors Only One Field: Rethinking Continual Spatio-Temporal Forecasting
- LUCID: Learning Under Confounding for Inference and Discovery in Time Series
- CytoSPM: Open-Vocabulary Cytopathology Detection with Structured Prompt Bank
- Benchmarking Attention for Tabular Foundation Models
- Geometric Moment Contraction for Stochastic Nesterov Acceleration
- UniAR: A Unified Framework for Autism Recognition Enhanced by Multi-View Prompt Learning
- Why Alzheimer's Speech Screening Fails to Generalize: Bridging the Deployment Gap via Cross-Corpus Evidence Anchoring
- Softmax Reparameterization for Output-Head Quantization
- MoTop: Motion-Topological Model For Micro AU Detection
- Resource-Optimized and Energy-Aware Agentic AI Framework Anchored on Blockchain for Secure Software Supply Chains
- Cognitive Skills in the Age of AI: Computing Students and Experts Perceptions
- Identifying Scientists on X
- MoSAR: Mixture of Semantic Attention Regimes for Learning Adaptive and Approximable Attention Geometries
- Agentic Limit Order Books: Phase Transitions and Market Impact
- PIA: A Personal Intelligence Agent Turning Health Conversations into Records and Records into Understanding
- Deterministic Regime Switching and Feasibility Inversion in Dynamic Tensor Rematerialization
- Gauss What You Need: Compact Gaussian Splatting Across Scene Scales
- Geometric Inconsistency Localization in Multi-View Image Sets
- RupeeBias: Auditing Demographic Bias in Indian Economic Guidance from Large Language Models
- Purin: A Biology-inspired Mechanism for Artificial Neural Networks
- WeaveAgent: A Two-Stage Tool-Routing Agent for Ultra-High-Resolution Remote Sensing Imagery
- Acoustic-to-Text KV Compression for Full-Duplex Speech Models
- Budgeted Quotient-Residual Guidance for Frozen Pocket-Conditioned Molecular Diffusion
- Which Influence Are We Estimating? The Role of Counterfactual Specifications in Data Attribution
- Self-Supervised Representation Learning: From Spectral Foundation Models to Auroral Emission Spectra
- FlatClip: Reusing Image Foundation Models for fMRI Representation Learning via Cortical Flatmaps
- Preserve-and-Compose Training for Composed Image Retrieval
- Samples, Sources, Space: Decomposing Data Scale in Spatially Structured Representation Learning of Human Brain Microarchitecture
- Light Field Primitive for Novel View Synthesis
- ALF: An Active Learning Framework for Scientific Discovery
- Rethinking Data Quality for AI-Driven Systems: Evidence from Practitioner Interviews
- Evolutionary Safety of Recursive Self-Improving AI: Taxonomy, Risk Discovery, and Evaluation
- Accounting for Bias Enables Sustainable LLM Evaluation
- Where a Model Sends Its Own Repeated Token
- BAT-CLIP: Trimodal Alignment of Brain, Audio and Text
- SPO: Discovering Adaptive Large Neighborhood Search Operators via Stackelberg Program Optimization
- Semantic Navigation for Issue Localization in Code Repository
- TaskIR: Task-Driven Image Restoration via Degradation Adaptation and Task Feedback
- Improving Visual Sensitivity of LLMs on Multimodal Machine Translation with Metric-based Loss Weighting
- Audio emotion recognition for atypical hearing
- Neural State Prediction: Obstructing Shortcut Learning in EEG Foundation Models
- BreathGRU: A Novel Semi-Supervised Bidirectional Gated Recurrent Unit Framework for Speech and Breath Segmentation for Respiratory Audio
- SPADE: Escaping the Popularity-Similarity Frontier to Measure Serendipitous Recommendations
- ReG-SAM: Reference Graph-Driven SAM for 2D Foundational Vessel Segmentation
- Momentum-Guided Federated Split Distillation for Personalized Temporal Edge Intelligence
- Bayesian Tensor Autoencoder with Physics-informed Predictive Prior for Multi-dimensional Time Series Anomaly Detection
- Teacher-Anchored Selection of Post-Training Quantized Models under Domain Shift
- HyperErase: Scale-Calibrated Hypernetwork for Multi-Concept Erasure in Text-to-Image Models
- FedHisto-PAST: Parameter-Efficient Stain-Aware Federated Learning for Cross-Site Lung Histopathology Classification
- Seeing Semantic Shift: Difference-Aware Sentence-Level Temporal Segmentation of Sign Language Videos
- Toward AI-Augmented Cooperative Engineering Workflows: Requirements and Architecture the European Rover Challenge
- Pocket-STVG: lightweight architecture for Spatio-Temporal Video Grounding
- AtomWorld-Mem: Memory-Restored World States for Long-Horizon Atomistic Evolution
- Do we need to answer that question? Salience and Answerability of Potential Questions in Naturalistic Dialogue
- Frame the adversary: a structure-aware attack methodology
- From Shortcut Learning to Discrete Neural Insertion Sort
- Double-stream registration with pyramid fusion for HDR video with alternating exposures
- Bayesian Optimization with Fisher Information Geometry: Gradient Bounds and Trust-Region Methods
- The Residual Stream's Effective Depth
- Block Sparse Attention with Log-Linear Complexity
- SAGE: A sampling-aware global evaluation benchmark for species distribution modeling
- OmouAI: Argumentative Human-AI Policy Deliberation with Simulated Personas
- Band-Selection Stability and Semantic Segmentation Performance: A Study on Hyperspectral City
- Externalized CPDAG Summaries Improve LLM Causal Deduction
- Distributed Learning as a Service: The Developer's Perspective
- Modeling Student Sensemaking with LLMs and Knowledge-Graph-Guided Inference
- KuaFu: Compressing Long User Behavior into Understanding at Billion Scale
- Exploiting Spatial Structure for Transductive Few-Shot Classification of Whole-Slide Images
- Aurora-X: Built for Extreme Time Series Forecasting
- Robust Graph Clustering Network for Multiple Missing Data
- Metacognitive Selective Ensemble for Mobile Systems
- Governed Deduction: Policy-Grounded Premise Authorization Beyond Relevance
- Refining Cytology Predictions with Conditional Random Fields
- Synth-JEPA: Joint Embedding Prediction for Renderer-Free Synthesizer Parameter Search
- Group recovery after trimming, and level-free flagging, in robust clusterwise regression
- Same Text, Different Numbers: The Divergence of LLM-Based Measures
- G2PTQ: Improving LLM Post-Training Quantization with Generalized Gradient Compensation
- TRACKGRAPH: Online Open-Vocabulary 3D Scene Graphs via Image-Space Tracking
- Can Pixels Alone Reveal Image Origin? Minimax Limits and Learnable Interfaces for Passive Provenance
- Learning Hierarchical Causal Representations of the Effects of Forcings on Temperature in Climate Models
- PICO: Projection-Informed Consistency Optimisation for 6DoF Surgical Tool Pose Estimation
- Self-Supervised Perceptually Interpretable Monocular Depth Estimation
- Evaluating Sycophancy in Chinese Large Language Models on Factual Questions Derived from Online Search Queries
- THA: Weighted Finite-State Text Normalization and Inverse Text Normalization for Khmer
- FARE: Forensic Acceptance Region Estimation for Catching Bait-and-Switch Image Generators
- STORM-Bench: Evaluating Online Video QA under Evolving and Incomplete Evidence
- A Comprehensive Study of Content Representations for Speech Synthesis
- Coupled Usage-Sense Processes: Temporal and Attributable Lexical Semantic Change
- LipSSM: Structurally Lipschitz-Bounded Cascaded State-Space Model via Metric Transfer between Consecutive SSM Layers
- Factorized axis convolutional gated recurrent unit with dynamic adaptive pooling for remaining useful life prediction of rolling bearings
- FAVoR: Measuring and Mitigating Author-Style Homogenization in Federated Personalized Generation
- MoMHa: Multi-Objective Optimization of LLM Harnesses over Accuracy, Safety, and Tokens
- Gradient Surgery for Physics-Informed Neural Networks
- Where and When to Force: Routed Forcing for Streaming Avatars
- IDM-Net: A Lightweight Illumination-Decoupled Modulation Network for Low-Light Image Enhancement
- Towards Understanding Momentum Acceleration in River-Valley Loss Landscape
- Low-Bit Recurrent States in Hybrid Language Models
- DAPEVO: Deep Adaptive Patch Frame-Event Visual Odometry
- Spackle: Completing Large View Single Image NVS with Adaptive Gaussians
- Estimating and Orthogonalizing Unknown Pre-training Gradients for Continual Fine-tuning of Large Language Models
- ManiVid: Unified and Explainable Forensic Analysis of Manipulated Videos
- EPOC: Endpoint-Preserving Online Correction With Compressed Residual State for Multi-Horizon Time Series Forecasting
- Training-Free Pronunciation Transcription via Text-Constrained Acoustic Rescoring
- JevSoup: System-One Routing for Training-Free LoRA Composition
- Robust to Which Model Change? A Unified Evaluation of Robust Counterfactual Explanations
- Cross-Backend QIEO: Universal Runtime Portability across OpenMP5, CUDA, HIP, and Multi-Language Interfaces
- Training Graph Foundation Models on The Web Graph
- Adaptive Pilot Selection for Unified Semantic Communication and Semantic Sensing in ISAC
- Conformal Prediction under Exponential-Tilt Joint Shift
- Retraction-Based Gradient Projection Algorithms on Manifolds
- Warned alike, AI agents avoid the less-crowded road while people take it
- Effects of Transcript Compression on LLM-based Medical Misinformation Detection in Japanese YouTube Videos
- EXAONE Demand 1.0: A Time Series Foundation Model for Demand Forecasting
- Tight Stochastic Condition-Number Dependence in Nonconvex-Strongly-Concave Minimax Optimization
- Evidence-Grounded Auditing of Identification Assumptions in Climate-Policy Causal Evaluations
- Universal Drift Correction for Multidimensional Scanning Microscopy
- Reliability-Regulated Trajectory Optimization for Progressive COLMAP-Free 3D Gaussian Splatting
- Developing a Roadmap to an AI-first Organization: A Case Study in Embedded Software Development
- AC Power Flow Contingency Analysis Using a Single Deep Neural Network
- MDSkin-Net: Multi-Task Skin Lesion Analysis Driven by Pattern Analysis Priors and Spatial Alignment Regularization
- I-Parakeet: Integer-Only Conformer ASR on Mobile NPU
- Attention-Based Adaptive Policies for Simultaneous Speech-to-Text Translation
- Peer-Grounded Counterfactual Path Planning for Chronic Health Management
- PTC-Decoder: Towards Intelligent SLMs on Offline Resource-Constrained Edge Devices
- Subject-Invariant Cross-Modal Decoding of Perceived Speech from Brain Recordings
- Adaptive Interaction Graphs for Particle Simulation
- Quantizing Looped Transformers: Feedback Exposure and Calibration Blindness
- Learning Provable Neural Network Observer for Uncertain Dynamical Systems
- A Benchmark and Diagnostic Study of Epistemic Admission in Shared Agent Memory
- Counterfactual Online Conformal Prediction Under Adaptive Logging
- Deep-Learning Solvers and Surrogates for Infinity and p-Laplace Problems
- XPhysICS: Cross-Physical-Domain Threat Grounding for Industrial Control Systems Security
- Motion Style Slider: Endpoint-Supervised Continuous Style Control for Human Motion Diffusion
- Towards Universal Representation-Based Process Control
- Feature Selection for Tabular Foundation Models: Exploring Feature Utility in Low-Data Molecular Prediction
- Symbiotic Architecture for Post-Hoc Audio Extension of Frozen Language Models
- Missingness-Aware Conformal Prediction Under Cross-Hospital Distribution Shift
- Learning Natural Conversational Behavior in Tandem Speech-to-Speech Models with Randomized Guidance
- NavGen: Visual Generative Models as a Scalable Data Engine for Embodied 3D Navigation
- Query-Conditioned Prototype Adaptation for Cross-Domain Few-Shot Learning: Single-Query Inference, Controlled Comparisons, and Failure Modes
- Insurance Reserve Intelligence Platform
- HCOE: Hyperbolic Clinical Ontology Embeddings from Biomedical Language Models
- LLPR: Location-aware learning and physics-based reconstruction for raindrop removal from a single image
- Selective Amortization of Full-Budget Counterfactual Reasoning for Visual Token Communication
- Training-Free Bottleneck Width Planning for Convolutional Autoencoders
- Skill Profiling with Attributable Reasoning (SPAR): A Wearable Analysis System for Boxing
- Differentiable RNA Secondary Structure Extraction for Deep Learning
- Backbone-Adaptive Evidence Routing for Robust Pairwise LLM Judging
- ORCA: Evaluating LLMs on Data Science Code Translation
- Beyond the Last Truffula Tree: SustainAI - A Water-Aware, Closed-Loop Framework for Environmentally Accountable AI
- Mechanism-Aware Ensemble Conditioning for Data-Limited Emulation of Extreme Events
- Anatomy-Aware Dexterity-Driven Design Optimization of Surgical Continuum Robots
- From S3Q Theory to Implementation: Towards an Architecture for Machine Qualia
- From Mono to Stereo: Accelerating Binocular Gaussian Splatting via Reprojection and Selective Patching
- SEA-CLIP-Tiny: Efficient Multilingual Text-Vision Embedding for Southeast Asian Languages
- Amplify What You Gaze At: Target Saliency Boosting in Text-to-Image Generation
- TR-SSQP: A Trust-Region Method for Constrained Stochastic Optimization under Heavy-Tailed Noise
- Input-Layer Starvation: Why Per-Layer Pruning Breaks IoT Intrusion Detectors
- Learning Polarization Image Restoration with General Restoration Priors
- TrafficImag: A Benchmark for Counterfactual Roadside Traffic Video Generation
- When 10,000 Windows Are Not 10,000 Tests: Auditing Statistical Confidence in Sliding-Window Time-Series Classification
- Werracle: Sub-Cent Intra-Block AI Reflex Oracles and Flash-Loan Circuit Breakers for EVM Smart Contracts
- NEMSim: Learning Control-Conditioned Multi-Event Physical Dynamics via Executable Event-Mechanism Priors
- Words Speak Louder Than Order: A Behavioral Evaluation of Gemma 4
- CRC-Router: Risk-Constrained Routing for Medical Agentic AI Systems
- Parameter Estimation for Unnormalized Discrete Models via Empirically Localized Deformed Bregman Divergence
- VLALight: Lightweight Vision-Language-Action Models for Emergency-Aware Traffic Signal Control
- Combining General and Domain-Specific Pretext Tasks for Brain MR Image Segmentation
- LAVOIR: Teaching a Single-Pass Decision Encoder When and What to Ask with Amortized Value of Information
- SAGE: Source-Anchored Guidance via Frequency Equalization for Hierarchical RGB-T Alignment and Fusion
- LUMO (Lightweight Unified Multilingual Orchestrator): A Privacy Preserving Offline Voice Assistant
- Threat-Aware Energy-Efficient Deployment for Dynamic UAV Networks: A Multi-Agent RL Approach
- On the Limits of Univariate Deep Learning for Significant Wave Height Forecasting
- PixSim: a calibrated open-source simulator of instant-payment fraud, recovery and interdiction under analyst capacity constraints
- Structure-Guided Masked Autoencoders for Ultra-High Resolution Scientific Image Understanding
- Design-Ignoring versus Design-Respecting World Models for Epidemiology
- TRACE: Temporal Audit and Condition-aware Evaluation of Streaming Video Understanding
- Population loss in shallow ReLU networks: Bias & families of critical points
- Image Reconstruction from Phase with Untrained Neural Priors
- Causal Retention in Interactive Agents: Interface Factorization and Selective Adaptation
- Conditional Predictive Sufficient Statistics for Visual Representation Learning
- MARCEDES: Score-based causal discovery under non-Gaussianity with continuous optimization
- A Framework for Identifying, Categorizing, and Explaining Bias in AI-Generated Code