Papers
Wed 15 Jul 2026
392 papers
- Changepoint-Aware World Models: Detecting Dynamics Shifts and Recovering by Forgetting Stale Replay in Model-Based RLWorld models → Embodied and robot world models
- Do Social Patterns Hold in Synthetic Data? Analyzing Cyberbullying Dynamics in LLM-Generated and Authentic DialoguesSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- TestHallVQA: Exploring LVLMs' Document-Level Reasoning under Redundant Contexts from Scientific ExamsLLM reasoning → Multimodal reasoning
- A Case-Bundle Operating Model for Coding Agents in OpenFOAM-Based CFDLLM agents and tool use → Web, search, and research agents
- X-CoSD: Communication-Efficient Cross-Vocabulary Collaborative Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- Harness Engineering: Anatomy, Architecture, and Evolution of Coding Agents -- A Source-Code Study of Eleven SystemsLLM agents and tool use → Software engineering coding agents
- Unified Hallucination Fuzzing for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning ApproachLLM agents and tool use → Web, search, and research agents
- CMI-Mem: Toward Generalizable Long-Term Memory Management via CMI-Augmented Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- Local Brushstroke Quality Assessment via Vision-Language FeedbackMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- CRISP: Pre-LLM Yet Text-Driven Visual Token Pruning for Efficient LVLM InferenceMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- GMoT: Gated Motion-Aware Tokenization for Fine-Grained Micro-Gesture Video Reasoning with Multimodal LLMsLLM reasoning → Multimodal reasoning +1
- The World According to a Social Robot -- Augmenting Human-Robot Dialogue With Vision Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Eddy-VL 1.9B: Structural Pruning and Layered Distillation for Edge-Deployable Multimodal EmbeddingKnowledge distillation → Multimodal distillation
- Depth-Regularized JEPA World Models Learn More Transferable Representations from Real Outdoor Robot DataWorld models → Latent predictive world models
- Cura 1T: Specialized Model for Agentic HealthcareLLM agents and tool use → Medical and scientific domain agents
- Position: Quantum Program Generation Must Prioritize Validity Over Probabilistic ScalingLLM reasoning → Reinforcement learning for reasoning
- Smarter and Cheaper at Once: Byte-Exact KV-Cache Grafting Turns a Frozen Small Model into a Verified-Knowledge FlywheelEfficient LLM inference and serving → KV cache optimization
- ConFlow: Constraints-Guided Learning with Flow Matching for Motion GenerationDiffusion models → Diffusion and flow policies for robotics
- Reward-Free Evolving Agents via Pairwise ValidatorLLM agents and tool use → General LLM agent frameworks and benchmarks
- DS@GT ARC at LongEval: Citation Integrity and Factual Grounding in Scientific QARetrieval-augmented generation → RAG robustness and adaptive retrieval
- Integration Matters: Rollout-Based Training for Constrained Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Why Git Is the Memory Solution for the Agentic Development LifecycleLLM agents and tool use → Software engineering coding agents
- Chat2Scenic: An Iterative RAG-Based Framework for Scenario Generation in Autonomous DrivingRetrieval-augmented generation → Multimodal RAG +1
- CIPHER: A Decoupled Exploration-Selection Framework for Test-Time Scaling of Data Science AgentsLLM reasoning → Reasoning for agents, planning and code +1
- A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning +1
- When Is Delegated Play Truthful? Within-Range Regret and the Trilemma of Aligned DelegationLLM agents and tool use → Social simulation and multi-agent debate
- HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective OptimizationLLM reasoning → Reasoning benchmarks and evaluation
- The Prover Is the Judge: Verified Security Software from AI Coding Agents in Ada/SPARKLLM agents and tool use → Educational agents and math problem solving
- Copy-on-Write Scoring: Application-Specific Agent EvaluationsLLM agents and tool use → Software engineering coding agents
- MixCompress: Mixture of Experts for Variable Rate Learned Image CompressionMixture-of-experts → MoE large language models
- SD-MAR: Multi-image Analytical Reasoning via Synthetic Data and Reinforcement LearningLLM reasoning → Multimodal reasoning +2
- PReM: Learning What to Preserve and When to Refresh for Context CompressionEfficient LLM inference and serving → KV cache optimization
- Tracing LLM Behavior to the Training Data with Empirical Next-Token DistributionsMechanistic interpretability → SAE features and their applications
- DCVC-MB: Neural B-Frame Video Compression using State Space ModelsState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- ToolAlignBench: Investigating Alignment Conflicts in Tool-Calling Enabled LLMsLLM agents and tool use → Agent threats, guardrails and governance +2
- DiMaS: Distribution Matching for Steering Vision-Language-Action ModelsVision-language-action models → Generalist VLA models and benchmarks +2
- Multi-Head Latent Control: A Unified Interface for LLM Agent Decision MakingLLM agents and tool use → General LLM agent frameworks and benchmarks
- AI Agents Do Not Fail Alone:The Context Fails FirstLLM agents and tool use → Software engineering coding agents +1
- Lyapunov Guidance: A Unified Framework for Stabilizing Generative FlowsDiffusion models → Flow matching, time series and science
- MonteRET: AI Agent Enhancing Multimodal LLMs with Multi-granularity Knowledge Retrieval for Chest CT Report GenerationMultimodal LLMs / vision-language models → Medical vision-language models
- Automatic Hard Example Synthesis with Multi-Level Agentic Data CurationMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Implicit Reasoning Steering via Concept ChainingLLM reasoning → Prompting and chain-of-thought reasoning
- Align AI to Dynamic Human-AI WorkflowsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Never Too Late for Force: Accelerating VLA Post-Training with Reactive Force InjectionVision-language-action models → Tactile, force-aware and humanoid VLA
- Instant NuRec: Feed-Forward 3D Gaussian Reconstruction for Driving Scene SimulationEnd-to-end autonomous driving → Generative simulation for driving
- Augmentations for Robust and Efficient Imitation Learning in Streamed Video GamesOffline RL and imitation learning from data → Imitation learning methods
- Inference-Time Concept Suppression and Video-Centric Evaluation for Text-to-Video ModelsLLM safety and security → Vision-language and text-to-image safety
- RxBrain: Embodied Cognition Foundation Model with Joint Language-Visual Reasoning and ImaginationLLM reasoning → Spatial and embodied reasoning
- NexForge: Scaling Agent Capabilities through Requirement-Driven Task Synthesis for LLMsLLM agents and tool use → Agent skill learning and evolution
- Open-AoE: An Open Egocentric Manipulation Dataset and Toolchain for Embodied LearningWorld models → Embodied and robot world models
- Semantic Audio-driven Understanding for Dynamic Humanoid Whole Body ControlDeep reinforcement learning methods → RL for robot locomotion and manipulation
- RENEW: Towards Learning World Models and Repairing Model Exploitation from PreferencesWorld models → Latent dynamics models and model-based RL +1
- ReasFlow: Assisting Reasoning-Centric Scientific Discovery in Applied Mathematics via a Knowledge-Based Multi-Agent SystemLLM reasoning → Mathematical reasoning +1
- Branching Policy Optimization: Sandbox-Native Language Agent Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents +1
- When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World ModelsWorld models → World models for language agents
- Structured Feedback Improves Repair in an LLM Agent LoopLLM agents and tool use → General LLM agent frameworks and benchmarks
- Stop Means Stop: Measuring and Repairing the Enforcement Gap in Agent-Framework Control PrimitivesLLM agents and tool use → Agent threats, guardrails and governance
- From Pixels to States: Rethinking Interactive World Models as Game EnginesWorld models → Video-generation world models and simulators
- Deep Interaction: An Efficient Human-AI Interaction Method for Large Reasoning ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- Multi-Expert Routing for Multi-Domain Low-Resource OCR: A Manchu Case StudyMixture-of-experts → Expert routing strategies
- Early Adoption of Agentic Coding Tools by GitHub ProjectsLLM agents and tool use → Software engineering coding agents
- Lighthouse RL: Sample-Efficient Circuit Optimization via Strategic Reset PointsDeep reinforcement learning methods → RL for energy, networks and operations
- Rethinking Penetration Testing for AI-Enabled Systems: From Resource Compromise to Behavioral Objective ViolationLLM safety and security → Prompt injection and agent security
- M4World: A Multi-view Multimodal Driving World Model for Interactive Object Manipulation and Minute-long StreamingWorld models → World models for autonomous driving +1
- Lyapunov Exponent as Physics-Informed Dense Reward: RL Discovery of Stabilization Beyond the Kapitza PendulumDeep reinforcement learning methods → RL theory and sample complexity
- The Dynamic Verifiable Multi-Agent Human Agentic Loyalty Loop (DVM-HALL) Model and the Net Human-Agent Score (NHAS) in Autonomous CommerceLLM agents and tool use → Social simulation and multi-agent debate
- Agent Skill Security: Threat Models, Attacks, Defenses, and EvaluationLLM agents and tool use → Agent threats, guardrails and governance
- GigaWorld-Policy-0.5: A Faster and Stronger WAM Empowered by AutoResearchWorld models → Embodied and robot world models
- Discriminative Barrier Functions for Safe Adversarial Imitation Learning from ObservationOffline RL and imitation learning from data → Safe offline RL +1
- SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement LearningLLM reasoning → Multimodal reasoning +1
- Cyclone: Diffusion Model for Cycle-Consistent Weather Editing from Unpaired Driving DataDiffusion models → Diffusion and flow policies for robotics
- S-squared-VLA: Decoupling Semantic and Spatial Streams in Vision-Language-Action Models for Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +2
- AIMO Interpretability ChallengeLLM reasoning → Mathematical reasoning
- Fine-Grained Vision-Language Pretraining with Organ-Conditioned Pattern Tokens for CT UnderstandingMultimodal LLMs / vision-language models → Medical vision-language models
- Experience Memory Graph: One-Shot Error Correction for AgentsLLM agents and tool use → Agent memory systems
- Learning Forward & Reverse Skills from a Single Unfinished Demonstration for Constrained Manipulation TasksOffline RL and imitation learning from data → Robot learning from demonstration
- Unleashing Multimodal Large Language Models for Training-free HOI Detection in the WildMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- Task-Oriented Sensing and Covert Transmissions for Collaborative Multi-AUV SystemsDeep reinforcement learning methods → RL for robot navigation and UAV control
- Towards Enhancing 3D Spatial Reasoning in Medical Multimodal Large Language ModelsLLM reasoning → Clinical and biomedical applications +1
- Inferentialist Game Semantics (Extended Abstract)LLM reasoning → Reasoning benchmarks and evaluation
- SPyCE: Skill-Policy Co-evolution for Multimodal AgentsDeep reinforcement learning methods → RL training of language and agent models
- Heavy-Tailed Flow Matching via Random ClocksDiffusion models → Flow matching, time series and science
- Learning Robust Execution in Robotic Manipulation with Agentic Reinforcement LearningLLM agents and tool use → Multimodal and embodied agents
- TCAM-Diff: Triplane-Aware Cross-Attention Medical Diffusion ModelDiffusion models → Medical imaging and segmentation
- EgoProceVQA: A Novel Egocentric Procedural Understanding Task with Self-Skill-Exploration AgentLLM agents and tool use → Multimodal and embodied agents
- Kaleido: Algorithm-Hardware Co-Design for Video Diffusion Transformers by Exploiting Latent Space CorrelationsDiffusion models → Video generation
- Post-Training Shifts Confidence: A Three-Stage Analysis of How SFT, RL, and OPD Shape CoT CalibrationLLM reasoning → Test-time compute and efficient thinking +1
- DAGR: State-Conditioned Goal Representations via Difference-Aware Goal Cross-AttentionDeep reinforcement learning methods → Deep RL algorithms and representations
- How Agents Ask for Permission: User Permissions for AI Agents, from Interfaces to EnforcementLLM agents and tool use → Agent threats, guardrails and governance
- CAVA: Canonical Action Verification and Attestation for Runtime Governance of Agentic AI SystemsLLM agents and tool use → Agent threats, guardrails and governance
- Groc-PO: Grounded Context Preference Optimization for Truthful Multimodal LLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- AgentCompass: A Unified Evaluation Infrastructure for Agent CapabilitiesLLM agents and tool use → General LLM agent frameworks and benchmarks
- nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive TrucksEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Social Simulations: from Agent-Based Modeling to Digital TwinsLLM agents and tool use → Social simulation and multi-agent debate
- DNA: Dual-stage Native Attribution for Generated Image Source TracingDiffusion models → Robustness, privacy and adversarial aspects
- HarnessBank: Semantic Gene-Bank Search with Gated Verification for Agent-Harness Self-EvolutionLLM agents and tool use → Software engineering coding agents
- Towards Spatial Supersensing in the WildWorld models → Video-generation world models and simulators +1
- FreeLit: Paired-Free Indoor Relighting via Physics-Guided DiffusionDiffusion models → 3D, point cloud and scene generation
- Explaining Reinforcement Learning Agents via Inductive Logic ProgrammingDeep reinforcement learning methods → Interpretable and logic-guided RL
All 392
- Exploratory, Communicative, and Deployable: Vision-Driven Embodied Agents for Open-World Mobile ManipulationLLM agents and tool use → Multimodal and embodied agents
- From Surface Forecasting to Observability Forecasting: A Latent World Model for Cloud-Aware EO MonitoringWorld models → Latent predictive world models
- Consensus as Privileged Context for Label-Free Self-DistillationLLM reasoning → Reinforcement learning for reasoning +1
- STOCKTAKE: Measuring the Gap Between Perception and Action in LLM Agents with a Fair OracleLLM agents and tool use → General LLM agent frameworks and benchmarks
- The SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World ModelsWorld models → Latent predictive world models
- Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic SystemLLM agents and tool use → Web, search, and research agents
- Analogical Deep Research: Retrieving and Integrating Historical Analogies for Foresight AnalysisLLM agents and tool use → Web, search, and research agents
- Semantic Anchoring for Robotic Action RepresentationsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- SAFETY SENTRY: Context-Aware Human Intervention via EXECUTE-ASK-REFUSE RoutingLLM agents and tool use → Agent threats, guardrails and governance
- Memory as a Controlled Process: Learned Adaptive Memory Management for LLM AgentsLLM agents and tool use → Agent memory systems
- Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- GHR-VLM: Making Zero-Shot Transit Video Analytics Realizable with Grounded Hybrid ReasoningLLM reasoning → Chain-of-thought reasoning for driving
- Nexus: Native Mesh Generation with DiffusionDiffusion models → 3D, point cloud and scene generation
- Grounded world models in biological organisms and future embodied AIWorld models → World models for navigation
- Flow-aware Optimal Navigation in Unsteady Flows through Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- ThinkBLOX: 3D Indoor Scene Generation with Progressive ReasoningLLM reasoning → Spatial and embodied reasoning +1
- LOTAPO: Leave-One-Turn Attribution for Self-Generated Process Rewards in Multi-Turn Search ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +2
- Attention-Free and Lightweight Token Reduction for Efficient Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Factorized Spectral Representations for Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- A VAE-Driven Multi-Task Satellite-Aided Semantic Communication Framework for 6G-Enabled Connected Autonomous VehiclesEnd-to-end autonomous driving → Cooperative and V2X driving
- MyAG: A Graph-Based Framework for Designing and Analyzing Composable LLM Agent SystemsLLM agents and tool use → Software engineering coding agents
- DevicesWorld: Benchmarking Cross-Device Agents in Heterogeneous EnvironmentsLLM agents and tool use → GUI and mobile agents
- Joint On-and-Off Policy Learning for Vision-and-Language NavigationOffline RL and imitation learning from data → Language-conditioned policies and VLAs
- LPM: Industrial-Scale Generative Video RestorationDiffusion models → Inverse problems and image restoration
- GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial UnderstandingLLM reasoning → Spatial and embodied reasoning +1
- Adversarial Prompting Framework for AI Safety AssessmentLLM safety and security → Prompt injection and agent security
- Symbiosis-Inspired Knowledge Distillation for Incremental Object DetectionKnowledge distillation → Detection and dense prediction distillation
- DREA: Decoupled Reasoning and Exploration Agents for Repository-Level Vulnerability DetectionLLM reasoning → Reasoning for agents, planning and code +1
- Distributionally Robust and Safe Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
- When Rubrics Change: Cross-Rubric Generalization for Critical Thinking Essay ScoringLLM reasoning → Reasoning benchmarks and evaluation
- Discrete Diffusion Models: A Unified Framework from Tokenization to GenerationDiffusion models → Discrete and text diffusion
- Exploring Post-Training Alignment of Small Language Models for Biomedical Data-to-Text Generation: A Case Study of Medication LeafletLLM alignment / RLHF / preference optimisation → Medical LLM alignment
- Generalizable VLA Finetuning via Representation Anchoring and Language-Action AlignmentMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Evaluating Frontier AI Agents as Autonomous Clinical Security AuditorsLLM agents and tool use → Medical and scientific domain agents
- Ego-Dynamics-Augmented World Model for Autonomous Driving with Zero-Shot Cross-Embodiment AdaptationWorld models → World models for autonomous driving +1
- Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Demystifying On-Policy Distillation: Roles, Pathologies, and RegulationsKnowledge distillation → On-policy and self-distillation for LLMs
- Set-shifting Behavioral Test for Harnessed AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale ModelsSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- GFlowRL: Scaling Distribution-Matching RL to Large Language ModelsLLM reasoning → Reinforcement learning for reasoning
- FM2: Unified Federated Foundation Models for Heterogeneous Multimodal Medical ImagingMixture-of-experts → Medical and biomedical MoE
- Learning Engagement Assistant (LEA): Cross-Course Scalability and Classroom Evaluation of an Agentic AI Tutoring SystemRetrieval-augmented generation → Agentic RAG, agents and memory +1
- DiffGI: Differentiable Geometry Images for High-Fidelity Thin-Shell 3D GenerationDiffusion models → 3D, point cloud and scene generation
- Learning Latency-Aware Orchestration for Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Optimizing Denoising Trajectories in dLLMs: A Lightweight Evolutionary Heuristic Approach
- When Audit Quality Fails to Predict Downstream Utility: A Counterfactual Study of Synthetic-Data Selectors for Low-Resource African NLP
- LangSelect: Cost-Aware Target-Language Routing for LLM Code Generation
- Transcribe, Then Reason: Two-Pass Decomposition for Multimodal Review
- Automated Dental Caries Segmentation in Panoramic Radiographs Using Dual-Stage Deep Learning
- Dose-Aware Cold Diffusion with Physics Consistency for Generalizable Low-Dose CT Reconstruction
- Myovox: Reading Speech from the Muscles of the Face
- How AI Assistants Respond to Repeated Abuse
- Legal LLM Hallucination Should Be Evaluated as Failure of Legal Warrant
- Selective Prediction and Uncertainty-Aware Referral for Pap Smear Classification
- Large Language Models Versus Physicians in Traditional Chinese Medicine: A Real-World Clinical Case Evaluation
- NepKANUN: A RAG-Based Nepali Legal Assistant
- TPvG: A Moral Decision Framework for Large Language Models from One-Shot to Sequential Feedback
- The Effect of Emotional Context on Large Language Models' Endorsement of Premature Decisions: Comparing Emotional Vulnerability Across Six Commercial Models
- Not All Explanations Are Sought: Information-Seeking Psychology for Human-Centered XAI
- Evidence-Grounded Mapping of Multimodal Human Sensing Psychological Transdiagnostic Dimensions
- UTS at CheckThat! 2026: Cite-Frame Engineering for Generated Fact-Checking Articles
- RIACT: A Responsible AI System for Personalized Study Habit Tracking and Early Burnout Signal Detection in University Students
- Proactive Road Safety Intervention in Australia: Predicting Risky Driving Hotspots from Connected Vehicle Data
- Stable Miscalibration in Large Language Models: A Practical View of High-Confidence Errors
- Nova: An End-to-End MLIR Compiler for Deep Learning
- Double-Scoring: Reliable Extraction of Strong Lottery Tickets
- AI-Driven Multi-Hop Relay Selection for Smart Urban NR-V2X Networks via Learning-to-Optimize Graph Neural Networks
- Thermodynamic Weight Decay: Exploring Grokking Acceleration via Attention Specific Heat
- SenCos-GEM: SENet-Calibrated and Law-of-Cosines-Constrained Geometry-Enhanced Molecular Representation for Property Prediction
- Lipschitz Continuity in Deep Learning: A Systematic Review of Theoretical Foundations, Estimation Methods, Regularization Approaches, and Certifiable Robustness
- Localization-Infused Vision-Language Semantic Fusion for Text-Guided Medical Image Segmentation
- RegionFM: Interpretable Region-Based Brain MRI Classification Using Foundation Model Embeddings
- SGMCE: Segment-Grounded Morphological Concept Explanation for Malaria Parasite Species Identification in Thick Blood Smears
- ECG-LLM: Foundation Model for ECG-Based Cardiac Reasoning
- Art Beyond Semantics: Sheaf-Informed Contrastive Learning for Multi-Relational Representations
- The Devil is in the Dark Pixels: Toward Brightness Bias-Robust Denoising
- Deep Learning-based Filtering for Video Coding: A Survey on Architectures, Algorithms, and Complexity Analysis
- Monte Carlo Dropout Uncertainty and Entropy-Thresholded Selective Prediction for Architecture-Agnostic Brain Tumor MRI Triage
- DyneTrion: A Spatio-temporally Coherent Generative Emulator for Protein Dynamics Across Timescales
- Per-Token Fixed-Point Convergence in Depth-Recurrent Transformers
- Emergent Region-Level Facial Correspondence in Frozen Vision Foundation Models
- HyperShadow: A Benchmark for Detecting 3D Projections of Higher-Dimensional Spatial Objects
- Adaptive Ad Load Design for Sponsored Search Markets: Evidence, Theory, and Deployment
- CausalGraphX: A Counterfactual Graph Neural Network Framework for Explainable Systemic Risk Assessment
- K-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs
- LATTICE: Graph Self-Supervised Learning for Multimodal Spatial Omics Integration
- Decision Making Needs Uncertainty Quantification [Lecture Notes]
- Instrument Effects in Language-Model Honesty Evaluation: An Auditable Single-System Demonstration
- CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models
- An offline approach to fNIRS-guided reinforcement learning for robot behavior
- A Comparative Analysis of Machine Learning Models for Long and Short-Term Forecasting of the Egyptian Stock Market: A Focus on EGX30
- MamaBench: Benchmarking LLM Robustness in Maternal and Child Health Diagnosis through Counterfactual Clinical Perturbation
- Random Parameter Noise Does Not Make Exact ReLU Verification Easy
- Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion
- Dysco: Dynamic Subspace Boosting to Mitigate LoRA Interference in Federated Learning
- NeuralChaos: Optimal Adapted Approximation of Square Integrable Predictable Processes
- Unsafe at any AUC: Unlearned Lessons from Sociotechnical Disasters for Responsible AI
- Beyond Pairwise Relations: Dynamic Manipulation Hypergraphs for Vision-Based Human Activity Recognition
- Learning Who to Treat When Treatment is Missing
- Value Leakage: An LLM's Answers Are Silently Shaped by Its Own Values
- Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution
- Beyond scalar losses: calibrating segmentation models via gradient vector field surgery
- ViPSAM: Visual Prompting Medical Image Segmentation Using Segment Anything Model
- Accounting for Hysteresis and Eddy Currents in Finite Element Simulations of Ferromagnetic Laminated Cores using a Recurrent Neural Network
- Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data
- Towards a Unified Multidimensional Explainability Metric: Evaluating Trustworthiness in AI Models
- NeuroGRIP: Retrieval-Augmented Graph Refinement for Knowledge-Grounded EEG Seizure Diagnosis
- Traccia: An OpenTelemetry-Based Governance Platform for AI Systems
- Spectral Concentration and Recovery in Sparse High-Dimensional Random Geometric Graphs
- Assessing AI in Introductory Physics Problem Solving
- Measuring How Students Rely on Generative AI in Academic Writing: Development and Multi-Source Validation of the Generative AI Reliance Types Scale (GenAI-RTS)
- Parsimonious Mixtures of Skewed Bilinear Factor Analyzers
- Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network
- XCT-SAM: Sequential Parameter-Efficient Domain Adaptation of SAM for Industrial XCT Defect Segmentation
- Local Additive Feature Attribution: A Mathematical Taxonomy and Reporting Checklist
- MEMORA: Embodied Action Memory from Egocentric Videos for Reasoning and Planning
- The Severance Problem: LLMs are Unaware of the Person Beyond the Prompt
- MIDiff: Tackling Sparsity and Imbalance in Mobile Usage Generation via Multivariate-Imaging Diffusion
- 3D Lane Detection with Odometry for High-Speed Vehicle Racing
- The Steering Budget: Examples beat Knobs
- LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks
- SeeSE3: Emergence of 3D Space in Vision Features
- Privacy Leakage in Federated Learning in Radiology Reports: A Comparative Evaluation of Tokenizer-Driven Privacy Risks
- KeyFrame-Compass: Towards Comprehensive Evaluation of Keyframe-Conditioned Video Generation
- How Artificial Intelligence LLM Engines Shape the Global Conflict Information Environment
- Operator-Informed Gaussian Processes for Complex Helmholtz Wavefields: From Synthetic Benchmarks to In Vivo Brain Elastography
- Long-term User Engagement Optimization through Model-agnostic Downstream Rewards Learning
- TEDDY: A Pediatric Foundation Model for Risk Forewarning from ICD-Coded Diagnostic Histories
- A Temporal Machine Learning-Based Time-to-Event Model for Predicting ALS Progression and Healthcare Utilization
- MultiRef-Compass: Towards Comprehensive Evaluation of Multi-Reference-to-Audio-Video Generation
- Closed-Loop Knowledge Dynamics: An Operational Framework for Saturation and Escape
- Quantize with Confidence? An Empirical Study of Quantization for Code Generation
- OvAi Focus: AI-based Multi-class Segmentation of Functional Ovaries and Adnexal Masses in Gynecological Ultrasound
- Low-Latency Relay Selection in NR-V2X Vehicular Communications via Graph Isomorphism Networks with Edge Features
- How Much of a 10-K Matters? Aggregation-Dependent Value of Full-Text versus Risk-Factor Sentiment
- The Cost and Network Limits of Space-Based AI Compute
- Towards Reliable AI-Assisted Analog Design: Template-Constrained LLM Agents for SAR ADC Generation
- A vision foundation model for single-cell biology via spatial gene cartography
- VideoRAE: Taming Video Foundation Models for Generative Modeling via Representation Autoencoders
- Leveraging unlabelled data for generalizable neural population decoding
- Linear Independent Component Analysis via Optimal Transport
- MetaPerch: Learning from metadata for bioacoustics foundation models
- Screening of Biosecurity Features in Metagenomic Data with Evo 2 Probes
- Minimax Theory of Likelihood-Based Deep Learning for Speckle Regression
- Hindcast: Replaying Prediction Markets to Evaluate LLM Forecasters
- Earthquaker-AI: A Retrieval-Augmented Generation Framework with Rubric-Based Assessment for Primary School Earthquake Education
- AI-accelerated End-to-End Framework for Rapid Professional Upskilling
- Can an Old Dog Be Taught New Tricks? Taking LLMs Beyond Sentence Level Translation
- Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study
- Transforming Rank: How Architecture Navigates the Spectral Pathologies of Depth
- Do Agent Optimizers Compound? A Continual-Learning Evaluation on Terminal-Bench 2.0
- TRACE: Turn-level Reward Assignment via Credit Estimation for Long-Horizon Agents
- Task-Specific Feature Fusion Method for Multi-Task Affective Behavior Analysis
- Multimodal Empirical Bayes Variational Autoencoders for Joint Longitudinal and Time-to-Event Modeling
- Screening Is Effective for Visual Recognition
- Music-to-Dance Generation via Atomic Movements
- Constraint-Aware Counterfactual Editing for Aspect-Based Sentiment Analysis
- CF-Net: Conflict Fusion with Speaker Normalisation and Certainty Weighting for Ambivalence/Hesitancy Recognition
- DeltaMerge-LowRes: Composing Language and Task Deltas for Low-Resource Adaptation
- PlumeQuant: Uncertainty-aware consistency assessment of methane plume masks and emission-rate estimates
- Beyond the d2.5-mixing bound for Dikin walks on polytopes
- Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment
- A Self-Evolving Agent for Longitudinal Personal Health Management
- A novel unsupervised machine learning strategy to handle multimodal cardiac PET/MRI data
- VAIOM: Continuous-Input, Discrete-Output Decoder-Only Financial Sequence Modeling
- Plausible Deniability Guarantees for Whistleblowers
- Thresholded Cross-Attention for Reliable Intensity-Chromaticity Fusion in Low-Light Image Enhancement
- Generative Compilation: On-the-Fly Compiler Feedback as AI Generates Code
- DeepStress: Stress-Testing Deep Search Agents
- An Efficient Newton Algorithm for Nonnegative Matrix Factorization with the Kullback-Leibler Divergence
- Partially Correlated Verifier Cascades in LLM Harnesses: Concave Log-Odds, Polynomial Reliability, and Blind-Spot Ceilings
- The 2nd International StepUP Competition for Biometric Footstep Recognition: From Steps to Strides
- High-Order Question Generation in a Multilingual Educational Context
- RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation
- PiVoT: A Variational Solution for Real-time Large-scale Multi-object Detection and Tracking under Heavy Clutter
- Verifying formulas for interventional distributions
- AI-Augmented Adaptive Digital Twin Modeling for Brain Tumor Evolution Prediction and Treatment Scheduling
- Relevance-Aware Rule: Structural Deletion of Irrelevant Conditions in Decision Trees
- Quantum Topological Data Encoding
- AI-Augmented Human Resource Management? Insights from German companies
- NodeImport: Imbalanced Node Classification with Node Importance Assessment
- Recursive ArUco Markers: A Scalable Fiducial Marker Design for Unmanned Aerial Vehicle Landing Pads
- Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning
- Bake It Till You Make It: Ultrafast Spatial Texture-Atlas Splatting
- AspectCLIP: Optimizing CLIP Representation Space via Aspect-Guided Consistency Regularization
- RainDancer: RGB-Event Video Deraining with Rain-Oriented Spiking Dynamics
- Traffic-Aware Randomized Smoothing for LLM-Based Network Intrusion Detection
- Prospective clinical indication, post-hoc report leakage, and fusion design in multi-image chest radiograph classification: a patient-clustered evaluation
- CAS I: A Geometric Coding Theorem
- Regularity as seen by Alice and Bob
- Mono-Z Dark Matter Search with Neural Spline Flows Using CMS Run 2015D Open Data
- MxGPS: Multiplex Graph Transformers for a Power Grid Foundation Model
- Algebraic Representability as the Limiting Regime of Grokking: An Exactly Solvable Model with Holomorphic Activations
- Ablation-Corrected Evaluation of Attribution Maps in Echocardiographic Ejection-Fraction Models
- Implementations of Quantum and Classical Topology-Aligned Architectures for Molecular Property Prediction
- Constraint-Driven Model Optimization: An Industry Framework for Selecting Compression and Acceleration Techniques in Modern Machine Learning Systems
- Cluster with Auctions for Vector Search
- Towards quantum machine learning for assessing the resilience of post-quantum cryptography
- Self-supervised Speech Comparison for L2 Phone, Rhythm, and Intonation Scoring
- The Test Oracle Problem in Synthetic LLM-as-Judge Corpora: Disappearance, Distortion and a Validation Protocol
- Conditional Invertible Neural Networks for Data-Driven UAV Control: A 2-D Proof of Concept
- Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties
- Barnamala: Parameter-Efficient Handwritten Devanagari Recognition at Benchmark Saturation
- Microstructure-Conditioned Surrogate Models for Graded Multiscale Optimization of Mycelium Composites
- Optimal and Efficient Contextual Combinatorial Semi-bandits with General Function Approximation
- When Variance Is Not an Error Map: Calibrated Uncertainty for Radiative Gaussian Splatting in Sparse-View CT
- When Bots Join the Team: Bot Adoption and the Institutional Fabric of Open-Source Software Projects
- WAVE-Stereo: Warp-Aligned Volume Encoding for Stereo Matching
- Learning Speaker Identity Beyond Language and Modality Constraints: Insights from the POLY-SIM 2026 Challenge
- Fine-grained CLIP fine-tuning with self-annotated region alignment
- The Hyperspherical Geometry of CLIP Latent Space: A Semantic Mixture Model
- T3HG-Editor: Text-driven 3D Human Garment Editing with Body Priors Embedded in SMPL-X
- Maximally Robust Satisficing Bayesian Optimization
- Beyond Color Geometry: Evaluating Human-Like Color Representations in Vision Models
- Human4K: A Large-Scale 4K Multi-View Mocap Dataset for Whole-Body 3D Human Reconstruction
- OvisOCR2 Technical Report
- How the Hessian-Spectrum of Neural Networks Depends on Data
- From Language to Navigation Goals: A Vision-Language Approach for Semantic Navigation of Mobile Robots Using RGB-D Perception
- UESF-Bench: Benchmarking and Probing for Unified Embodied Seeking and Following
- FastCentNN: Accelerating Centroid Neural Network with Entropy Proxy
- Gauge-Invariant, Parameter-Insensitive Regularization for Potential Recovery from Flow on Directed Graphs
- Video to All-in-focus Image Reconstruction Algorithm for Automated Microscopic Urinalysis
- Protective Capacity Hallucination: When Large Language Models Claim Nonexistent Capabilities
- From Prediction to Collaboration: Interactive Symbolic Music Analysis
- UniPhysGen: Unified Physical Grounding for Simulation-Ready 3D Assets
- Visual Place Recognition Using Rate-Encoded Spiking Neural Networks with Discrete STDP Learning
- Agile perceptive multi-skill locomotion for quadrupedal robots in the wild
- Approximation of solutions of parameter-dependent problems by residual neural networks
- IMMNet: Hybrid Fusion of Model-based and Data-driven Approaches for Maneuvering Target Tracking
- Cover First, Disagree Softly: Rethinking Mismatch-First Active Learning for Frame-Level Audio Classification
- Graded Entity-Familiarity Readouts in Language Models: Polish Adaptation, Cross-Language Robustness, and Refusal Steering
- Spectral-Informed Neural Networks Outperform Spectral Methods in High-dimensional PDEs
- UTS at ELOQUENT 2026 Voight-Kampff: structural shifts in AI writing bypass state-of-the-art detectors
- AI advice suppresses people's willingness to say "I don't know", even when the advice is wrong and accuracy is incentivized
- Multi-Agent Collaborative Reasoning with Tool-Augmented Evidence for Urban Region Profiling
- Greedy Volume Maximization of Gradient Embeddings for Long-Tailed Frame-Level Bioacoustic Active Learning
- Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B
- Parallel gradient boosting for flexible estimation of conditional distributions
- How Far Can Root Cause Analysis Go on Real-World Telemetry Data?
- From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing
- Clustering algorithms for multivariate wind farm SCADA data filtering
- When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training
- VGIF-Score: Interpretable and Diagnostic Evaluation of Spatio-Temporal Instruction Following in Video Generation
- Kepler-Encoder-v0.1: Towards a Multimodal Embedding Model for Robots
- DriveFace: A Cross-Spectral Through-Glass Face Dataset for On-the-Move Vehicular Border Control
- ExTernD: Expanded-Rank Ternary Decomposition Ternary LLM PTQ with Accuracy Approaching Any Quantization Level
- CDS: Counterfactual Directionality Score for Structured Interventions in Spatial Graphs
- TRACE-PCa: Predicting Prostate Cancer Progression from Longitudinal MRI During Active Surveillance
- DP-BOA: Dirichlet-Process Birth-or-Assign for On-the-Fly Category Discovery
- M2P-AD: Memory-to-Prototype Learning with Boundary-aware Score Refinement for 3D Anomaly Detection
- CASA-SDF: Curriculum-Aware Spatial Adaptation with Curvature-Guided Density for Neural Implicit Surface Reconstruction
- DeepLoop: Depth Scaling for Looped Transformers
- GPOcc++: Unified Sparse Gaussian Occupancy Prediction with Visual Geometry Priors
- Topology-Agnostic Mesh Reconstruction of Deformable Objects from Sparse Touch
- Auditing Protocol-Level Shortcuts in Large Audio Language Model Judges for Speech Evaluation
- Deformable State Estimation for Autonomous Surgical Tissue Retraction Under Partial Observability
- EgoHTR: Egocentric 4D Demonstrations of Human Terrain Traversal
- Bring Music The Horizon: Music-Driven 360^circ Video Generation
- Explainable Artificial Intelligence for Anomaly Detection in Banking Transactions: An Internal Audit Perspective
- HIVE-3D: Hierarchical Voxel Enhancement for High-Quality 3D Scene Generation
- PQFA: Parallel Quantum Feature Augmentation of Fused Representations for Multimodal Classification
- 2D Rotary Position Embedding for Scene Text Recognition with Transformers
- Live Gurbani Tracking: A Benchmark and Reference System for Captioning Sikh Kirtan
- TreeSRNF: Square-Root Normal Fields for Generative Modelling of the Geometric and Structural Variability in Tree-like 3D Objects
- Learning Physics-Guided Residual Dynamics for Deformable Object Simulation
- DreamSat-Pose: Spacecraft Pose Estimation from Single-View 3D Reconstructions and Learned 2D-3D Feature Matching
- CLIP-Guided Label-Free Discriminative Region Scoring for Fine-Grained Classification
- Local Redundancy: An Information-Theoretic Measure of Plasticity from Synthetic Memorization
- PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference
- Data-Efficient Adaptation of LLMs via Attention Head Reweighting
- Temperature Scaling Is Not Enough: Calibration Gaps Under Human Label Distributions
- ScanFocus: A Coarse-to-Fine Framework for Spatio-Temporal Video Grounding
- OrDA: Orthogonal Disentanglement of Access Habits Framework for Homepage Marketing Block Recommendations
- Can We Steer the Black-Box? Towards Controllability-Centric Evaluation of Recommender Systems with Collaborative Agents
- EXPLORE: Exploration with Guided Search for Analog Topology Generation using Language Models
- MultiAnimate: A Unified Framework for Controllable Multi-Character Animation
- Non-Expansive Two-Time-Scale Stochastic Approximation: A Fixed-Schedule One-Quarter Barrier and Bias-Corrected Acceleration
- Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification
- AnomExpert: Identifying and Selecting Anatomical Planes for Prenatal Ultrasound Anomaly Diagnosis
- Price of Fairness in Bandits: A Tight Minimax Characterization
- The Caf'e in Amsterdam: When the Incumbent Becomes the Oracle
- Where Should RL Post-Training Compute Go? Model Size, Search, Learning, and Feedback
- Weight Feedback Computes the Jacobian Transpose Locally in Modern Deep Networks
- Learned Pairwise Deep Dual-Optimal Inequalities for Stabilizing Column Generation
- A POS Tier Is the Key to Automated Annotation for Low-Resource Language Documentation: Neural Interlinear Glossing for Irabu, a Southern Ryukyuan Language
- RoughNet: Mapping Arctic Sea Ice Roughness Using Diffusion-Based Super-Resolution of Satellite Imagery
- Detector Confidence Signals Presence Rather Than Occlusion in Cluttered Manipulation
- LLM-as-a-Judge Scores Are Unreliable Optimization Signals in Closed-Loop Table Recognition
- The Refusal Residue: When Probes Catch Alignment Faking and When They Don't
- Audio-Text Cross-Attention with Psycholinguistic Support Features for Ambivalence/Hesitancy Recognition
- EZSMT Version 3, Matured
- Marker-free deformable registration and fusion for augmented reality-guided positive margin localization during tumor resection surgery