Papers
Thu 25 Jun 2026
432 papers
- When Passing Tests Hides Vulnerabilities: An Empirical Study of Silent Failures in Agentic SystemsLLM agents and tool use → Agent threats, guardrails and governance
- At Equal Inference Cost, Multi-Agent Structure Does Not Beat a Single Frozen AgentLLM agents and tool use → General LLM agent frameworks and benchmarks
- Where Does Harness-Optimization Value Live? Localized Gains and the Budget-Splitting Trap in Self-Evolving LLM AgentsLLM agents and tool use → Software engineering coding agents +1
- Reward-Informed Sparse Autoencoders and the Solution-Completeness ConfoundMechanistic interpretability → Steering and interpreting LLM reasoning
- Depth-Aware Sensitivity Analysis of Mixture-of-Experts Models via Magnitude-Based Expert MaskingMixture-of-experts → MoE large language models
- Inducing Reward-Free Judging Rubrics that Reduce Over-Crediting in Agent EvaluationLLM agents and tool use → General LLM agent frameworks and benchmarks
- PTStore (Prefix Tensor Store): Distributed Prefix Caching and Replication for High Throughput Inference ServingEfficient LLM inference and serving → KV cache optimization
- Diffusion-corrected Autoregressive Fourier Neural Operator for Droplet Evolution PredictionDiffusion models → Flow matching, time series and science
- Quantizing Recursive Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
- Making Failure Safe: A Constrained, Verifiable Agent Framework for Open-Web Data CollectionLLM agents and tool use → Web, search, and research agents
- PolyFlow: Continuous Topology Embedding Flow Matching for Artist-style Mesh GenerationDiffusion models → 3D, point cloud and scene generation
- Tool Use Enables Undetectable Steganography in Multi-Agent LLM SystemsLLM agents and tool use → Agent threats, guardrails and governance
- JuZhou 1.0 Technical Report: The First Edge-Native Text-to-Image Foundation Model Trained Entirely on China-Developed AI AcceleratorsDiffusion models → Image generation, text-to-image and editing
- MedDiffuseMix: Preserving Diagnostic Evidence with Saliency-Aware Diffusion Medical Image Data AugmentationDiffusion models → Medical imaging and segmentation
- DiffRGD: An Inference-Time Diffusion Guidance Through Riemannian Gradient DescentDiffusion models → Diffusion foundations and sampling
- Evidence-Driven LLM Agent for C-to-Synthesizable-C Conversion and VerificationLLM agents and tool use → Software engineering coding agents
- COOPA: A Modular LLM Agent Architecture for Operations Research ProblemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Policy Gradient Learning for Distributionally Robust Markov Decision Processes under Wasserstein AmbiguityDeep reinforcement learning methods → RL theory and sample complexity
- Qwen-Image-2.0-RL Technical ReportDiffusion models → Image generation, text-to-image and editing +2
- Dismantling Pathological Shortcuts: A Causal Framework for Faithful LVLM DecodingLLM reasoning → Hallucination detection and mitigation +1
- Ko-WideSearch: A Korean Breadth-Search Benchmark for Exhaustive Set Enumeration by Web AgentsLLM agents and tool use → Web, search, and research agents
- Retroactive Advantage Correction: Closed-Form V-Trace Bias Correction for Delay-Aware RLHFLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- PEBS: Per-rater Empirical-Bayes Shrinkage for RLHF Reward-Model CalibrationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Perceptual 3D Simulation With Physical World ModelingWorld models → Video-generation world models and simulators
- On the Inseparability of Instructions and Data in Shared-Embedding Sequence ModelsLLM safety and security → Prompt injection and agent security
- Quantum Generative Diffusion Model for Real-World Time SeriesDiffusion models → Diffusion foundations and sampling
- EntMTP: Accelerating LLM Inference with Entropy Guided Multi Token PredictionEfficient LLM inference and serving → Speculative decoding
- MemoBench: Benchmarking World Modeling in Dynamically Changing EnvironmentsWorld models → Video-generation world models and simulators
- When the Aggregator Cheats: Data-Free Backdoors in Federated LLM-based QA SystemsLLM safety and security → Federated unlearning and poisoning
- The Curse of Multiple Mediators: Hidden Interaction Effects in Activation PatchingMechanistic interpretability → Circuits and mechanistic analysis
- ReWorld: Representation Learning for World Action ModelsWorld models → World models for autonomous driving
- Aloe-Vision: Robust Vision-Language Models for HealthcareMultimodal LLMs / vision-language models → Medical vision-language models
- QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Internalizing the Future: A Unified Agentic Training Paradigm for World Model PlanningWorld models → World models for language agents +1
- Supersede: Diagnosing and Training the Memory-Update Gap in LLM AgentsLLM agents and tool use → Agent memory systems
- Cluster, Route, Escalate: Cascaded Framework for Cost-Aware LLM ServingEfficient LLM inference and serving → Serving systems and request scheduling
- When Does Personality Composition Matter for Multi-Agent LLM Teams?LLM agents and tool use → Social simulation and multi-agent debate
- PairSAE: Mechanistic Interpretability from Pair Representations in Protein Co-FoldingMechanistic interpretability → Interpreting biomedical and science models
- Glite ARF: Verifier-Driven Research with Parallel LLM Coding AgentsLLM agents and tool use → Web, search, and research agents
- Delayed Verification Destabilizes Multi-Agent LLM Belief: Instability Thresholds and Optimal Corrector PlacementLLM agents and tool use → General LLM agent frameworks and benchmarks
- Towards Evaluation of Implicit Software World Models in Coding LLMsWorld models → World models for language agents
- DanceOPD: On-Policy Generative Field DistillationDiffusion models → Flow matching, time series and science
- Ask, Solve, Generate: Self-Evolving Unified Multimodal Understanding and Generation via Self-Consistency RewardsLLM reasoning → Multimodal reasoning +2
- World Action Models Enable Continual Imitation Learning with Recurrent Generative ReplaysWorld models → Embodied and robot world models +1
- Paying More Attention to Visual Tokens in Self-Evolving Large Multimodal ModelsLLM reasoning → Multimodal reasoning +1
- PhysiFormer: Learning to Simulate Mechanics in World SpaceWorld models → Latent predictive world models +1
- Bridging Performance and Generalization in Reinforcement Learning for Agile FlightDeep reinforcement learning methods → RL for robot navigation and UAV control
- SCoPE: Sightline-Coordinate Positional Encoding for Video Diffusion TransformersDiffusion models → Video generation
- Empowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task PlanningLLM agents and tool use → GUI and mobile agents
- Hallucination in World Models is Predictable and PreventableWorld models → World models for language agents
- Not All Actions Are Equal: Rethinking Conditioning for Dexterous World ModelWorld models → Embodied and robot world models
- Beyond the Hard Budget: Sparsity Regularizers for More Interpretable Top-k Sparse AutoencodersMechanistic interpretability → Sparse autoencoder training and evaluation
- LA4VLA: Learning to Act without Seeing via Language-Action PretrainingVision-language-action models → Human-video and latent-action pretraining
- Designing Reward Signals for Portable Query Generation: A Case Study in Industrial Semantic Job SearchLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification
- When Does Combining Language Models Help? A Co-Failure Ceiling on Routing, Voting, and Mixture-of-Agents Across 67 Frontier ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Prompt Injection in Automated R'esum'e Screening with Large Language Models: Single and Multi-Injection SettingsLLM safety and security → Prompt injection and agent security
- Resource-Aware Neuro-Symbolic Reasoning for Local Small Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- EO-WM: A Physically Informed World Model for Probabilistic Earth Observation ForecastingWorld models → Latent predictive world models
- E-TTS: A New Embodied Test-Time Scaling Framework for Robotic ManipulationLLM reasoning → Spatial and embodied reasoning
- CORTEX: A Structured Reasoning Benchmark for Trustworthy 3D Chest CT MLLMsLLM reasoning → Clinical and biomedical applications +1
- Advancing Omnimodal Embodied Agents from Isolated Skills to Everyday Physical AutonomyLLM agents and tool use → Multimodal and embodied agents
- Ask, Don't Judge: Binary Questions for Interpretable LLM Evaluation and Self-ImprovementSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Paved with True Intents: Intent-Aware Training Improves LLM Safety Classification Across Training RegimesLLM safety and security → Safety alignment, refusal and guardrails +1
- A Process Harness for Uplifting Legacy Workflows to Agentic BPM: Design and Realization in CUGA FLOLLM agents and tool use → Software engineering coding agents
- HarmVideoBench: Benchmarking Harmful Video Understanding in Large Multimodal ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Automating Potential-based Reward Shaping with Vision Language Model GuidanceMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- TOPS: First-Principles Visual Token Pruning via Constructing Token Optimal Preservation Sets for Efficient MLLM InferenceLLM reasoning → Multimodal reasoning +2
- OpenRCA 2.0: From Outcome Labels to Causal Process SupervisionLLM agents and tool use → Software engineering coding agents
- PhysReflect-VLA: Physical Feasibility and Self-Reflective Regulation for Reliable Vision-Language-Action PoliciesVision-language-action models → Failure recovery and robustness
- PAMAE: Phase-Aware-MoE Action Experts Towards Reliable Flow-Matching Vision-Language-Action PoliciesVision-language-action models → Efficient VLA inference and adaptation +1
- Joint Learning of Experiential Rules and Policies for Large Language Model AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Proposal-Conditioned Latent Diffusion for Closed-Loop Traffic Scenario GenerationDiffusion models → Diffusion and flow policies for robotics
- Heavy-Ball Q-Learning with Residual Weighting CorrectionDeep reinforcement learning methods → RL theory and sample complexity
- The Riddle Riddle: Testing Flexible Reasoning in Large Language Models and HumansLLM reasoning → Reasoning benchmarks and evaluation
- TMP: Tree-structured Mixed-policy Pruning for Large-scale Image Generation and EditingMixture-of-experts → Vision mixture-of-experts
- ForesightSafety-VLA: A Unified Diagnostic Safety Benchmark for Vision-Language-Action ModelsVision-language-action models → Safety and adversarial attacks
- The Spec Growth Engine: Spec-Anchored, Code-Coupled, Drift-Enforced Architecture for AI-Assisted Software DevelopmentLLM agents and tool use → Software engineering coding agents
- State Representation Matters in Deep Reinforcement Learning: Application to Energy TradingDeep reinforcement learning methods → Adversarial robustness and RL in finance
- ShareLock: A Stealthy Multi-Tool Threshold Poisoning Attack Against MCPLLM agents and tool use → Agent threats, guardrails and governance
- Improving General Role-Playing Agents via Psychology-Grounded Reasoning and Role-Aware Policy OptimizationLLM reasoning → Reasoning benchmarks and evaluation +1
- Just how sure are you? Improving Verbalized Uncertainty Calibration in Medical VQAMultimodal LLMs / vision-language models → Medical vision-language models
- A Generalization Theory for JEPA-Based World ModelsWorld models → Latent predictive world models
- Semantic Early-Stopping for Iterative LLM Agent LoopsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Adaptive Utility driven Resource Orchestration for Resilient AI (AURORA-AI)Deep reinforcement learning methods → RL for energy, networks and operations
- RolloutPipe: Overlapping Pipelined Rollout and Training in Disaggregated On-Policy LLM Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning
- ReaORE: Reasoning-Guided Progressive Open Relation Extraction Empowered by Large Reasoning ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
- Auditing Framing-Sensitive Behavioral Instability in Large Language Models for Mental Health InteractionsMechanistic interpretability → Probing deception, bias and beliefs
- How Much Static Structure Do Code Agents Need? A Study of Deterministic AnchoringLLM agents and tool use → Software engineering coding agents
- To Run or Not to Run: Analyzing the Cost-Effectiveness of Code Execution in LLM-Based Program RepairLLM agents and tool use → Software engineering coding agents
- Einstein World ModelsWorld models → World models for language agents
- Look-Before-Move: Narrative-Grounded World Visual Attention in Dynamic 3D Story WorldsWorld models → Video-generation world models and simulators
- Focusing on What Matters: Saliency-Harnessing Accurate Routing for Diffusion MoEDiffusion models → Diffusion foundations and sampling +1
- Jailbreaking for the Average Jane: Choosing Optimal Jailbreaks via Bandit Algorithms for Automatically Enhanced QueriesLLM safety and security → Jailbreaking
- Where Do CoT Training Gains Land in LLM based Agents?LLM reasoning → Prompting and chain-of-thought reasoning +1
- Chai: Agentic Discovery of Cryptographic Misuse VulnerabilitiesLLM agents and tool use → Agent threats, guardrails and governance
- A Deterministic Control Plane for LLM Coding AgentsLLM agents and tool use → Software engineering coding agents
- GAVEL: Grounded Caption Error Verification and LocalizationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Risk-Aware Selective Multimodal Driver Monitoring with Driver-State World ModelingWorld models → World models for autonomous driving
- Diagnosing Task Insensitivity in Language AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- PhysRAG: Enhancing Physics-Awareness in Video Generation via Retrieval-Augmented GenerationRetrieval-augmented generation → Multimodal RAG
All 432
- Confidence-Aware Tool Orchestration for Robust Video UnderstandingLLM reasoning → Multimodal reasoning
- Generative Retrieval via Diffusion Transformer with Metric-Ordered Sequence Training and Hybrid-Policy Preference OptimizationDiffusion models → Diffusion recommenders +1
- Information-Aware KV Cache Compression for Long ReasoningLLM reasoning → Test-time compute and efficient thinking +1
- TAVR-VLM: Risk-Conditioned Causal Grounding for Hallucination-Resistant Report GenerationLLM reasoning → Hallucination detection and mitigation
- SpatialFlow-GRPO: Where Spatial Credit Drives Image EditingLLM reasoning → Reinforcement learning for reasoning
- PlanRL: A Trajectory Planning Architecture for Reinforcement Learning-based Driving ExpertsEnd-to-end autonomous driving → Reinforcement learning for driving +1
- Humanoid-DART: Humanoid Loco-Manipulation using Diffusion-guided Augmentation through Relabeling and TrackingDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Memory Depth, Not Memory Access: Selective Parametric Consolidation for Long-Running Language AgentsLLM agents and tool use → Agent memory systems
- Improving Vision-Language-Action Model Fine-Tuning with Structured Stage and Keyframe SupervisionVision-language-action models → Tactile, force-aware and humanoid VLA
- Reasoning Quality Emerges Early: Data Curation for Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
- NaviCache: Test-Time Self-Calibration Caching for Video GenerationDiffusion models → Video generation
- ReasonCLIP-58M: Visually Grounded Commonsense Reasoning Supervision for CLIPLLM reasoning → Multimodal reasoning
- MIRROR: Novelty-Constrained Memory-Guided MCTS Red-Teaming for Agentic RAGRetrieval-augmented generation → Privacy and security of RAG +2
- OPID: On-Policy Skill Distillation for Agentic Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents +1
- AIGP: An LLM-Based Framework for Long-Term Value Alignment in E-Commerce PricingLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- LearniBridge: Learnable Calibration of Feature Caching for Diffusion Models AccelerationDiffusion models → Diffusion foundations and sampling
- ResilPhase: Plug-and-Play Phase Mapping and Noise-Resilient Macro-Trajectory Extrapolation for Diffusion AccelerationDiffusion models → Diffusion foundations and sampling
- EGG: An Expert-Guided Agent Framework for Kernel GenerationLLM agents and tool use → Software engineering coding agents
- HyperDFlash: Hyper-Connection-Aligned Block Speculative Decoding with Gated Residual ReductionEfficient LLM inference and serving → Speculative decoding
- Knowledge-Based Pull Requests: A Trusted Workflow for Agent-Mediated Knowledge CollaborationLLM agents and tool use → Software engineering coding agents
- LithoDreamer: A Physics-Informed World Model for Multi-Stage Computational LithographyWorld models → Latent predictive world models
- MLFFM-SegDiff: A Multi-Level Feature Fusion Diffusion Model for Skin Lesion SegmentationDiffusion models → Medical imaging and segmentation
- PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World ModelsWorld models → Video-generation world models and simulators
- Do Safety Guardrails Need to Reason? LeanGuard: A Fast and Light Approach for Robust ModerationLLM reasoning → Reasoning for agents, planning and code +1
- PersistentKV: Page-Aware Decode Scheduling for Long-Context LLM Serving on Commodity GPUsEfficient LLM inference and serving → KV cache optimization
- Tactile-WAM: Touch-Aware World Action Model with Tactile Asymmetric AttentionWorld models → Embodied and robot world models
- Autoformalization of Agent Instructions into Policy-as-CodeLLM agents and tool use → Agent threats, guardrails and governance +1
- Position Rebinding Cache Reuse: Replay-Free Visual Revisiting for Interleaved Multimodal ReasoningLLM reasoning → Multimodal reasoning
- From Weights to Features: SAE-Guided Activation Regularization for LLM Continual LearningMechanistic interpretability → SAE features and their applications
- Agents That Know Too Much: A Data-Centric Survey of Privacy in LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Discovering Millions of Interpretable Features with Sparse AutoencodersMechanistic interpretability → SAE features and their applications
- HiLSVA: Design and Evaluation of a Human-in-the-Loop Agentic System for Scientific VisualizationLLM agents and tool use → Multimodal and embodied agents
- Moebius: Serving Mixture-of-Expert Models with Seamless Runtime Parallelism SwitchMixture-of-experts → Efficient MoE training and inference systems +1
- DiCoBench: Benchmarking Multi-Image Fine-Grained Perception via Differential and Commonality Visual CuesMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Latent Diffusion Posterior Sampling with Surrogate Likelihood Guidance for PDE Inverse ProblemsDiffusion models → Flow matching, time series and science
- Pingquanqi (Equalizer): A Cross-Domain Sociotechnical Framework for Human-Agent Interaction GovernanceLLM agents and tool use → General LLM agent frameworks and benchmarks
- Zero-shot Tweet-Level Stance Detection Enhanced by External Knowledge and Reflective Chain-of-Thought ReasoningLLM reasoning → Causal reasoning in LLMs
- Adversarial Diffusion Across Modalities: A Fusion Survey of Attacks, Defenses, and Evaluation for Text, Vision, and Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Erase-then-Delta Attention: Decoupling Erase and Write Addresses in Delta-Rule Linear AttentionMixture-of-experts → Mixture of LoRA experts
- Perception, Verdict, and Evolution: Hindsight-Driven Self-Refining Forensics Agent for AI-Generated Image DetectionLLM agents and tool use → Multimodal and embodied agents
- From Hallucination to Grounding: Diagnosing Visual Spatial Intelligence via CRISPLLM reasoning → Spatial and embodied reasoning
- DiARC: Distinguishing Positive and Negative Samples Helps Improving ARC-like Reasoning Ability of Large Language ModelsLLM reasoning → Multimodal reasoning
- Safety-Regulated Transfer Reinforcement Learning with Adaptive Teacher GuidanceDeep reinforcement learning methods → Safe and constrained RL
- VIGIL: Runtime Enforcement of Behavioral Specifications in AI Agent SkillsLLM agents and tool use → Agent threats, guardrails and governance
- Radical AI InterpretabilityMechanistic interpretability → Circuits and mechanistic analysis
- What the LLM Should Not Say: Boundary-Aware Context Grounding for A Seven-Channel EEG AgentLLM agents and tool use → Medical and scientific domain agents
- NeuraDock Visual Cognitive Load Agent Tutorial: A Quality-Gated Open-Source EEG Workflow for Alpha Dynamics and Real-Time ApplicationsLLM agents and tool use → Medical and scientific domain agents
- Temporal Validity in Retrieval Memory: Eliminating Stale-Fact Errors for AI Agents over Evolving KnowledgeRetrieval-augmented generation → Agentic RAG, agents and memory +1
- Humans Disengage, Reasoning Models Persist: Separating Difficulty Registration from Deliberation AllocationLLM reasoning → Test-time compute and efficient thinking
- Mean-Field PhiBE: Continuous-Time Mean-Field Reinforcement Learning from Discrete-Time DataDeep reinforcement learning methods → RL for games and combinatorial optimization
- Nemotron-Labs-TwoTower: Diffusion Language Modeling with Pretrained Autoregressive ContextDiffusion models → Discrete and text diffusion
- What Survives When You Compress a Recursive Reasoner for the Edge?LLM reasoning → Test-time compute and efficient thinking
- Adaptive Evaluation of Out-of-Band Defenses Against Prompt Injection in LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- Retrieval-Warmed Energy-Based Reasoning: A Five-Arm Ablation Methodology for Diffusion-as-Inference on Structured Reasoning TasksLLM reasoning → Diffusion reasoning and test-time scaling +1
- Localizing RL-Induced Tool Use to a Single Crosscoder FeatureLLM agents and tool use → Reinforcement learning for LLM agents +1
- Epiphany-Aware KV Cache Eviction Without the Attention MatrixLLM reasoning → Test-time compute and efficient thinking +1
- Soft Token Alignment for Cross-Lingual ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Bounded Personas Match Retrieval on Classification but Not Regression for a Frozen Agent
- Prompt-Space Meta-Learning Does Not Transfer Across Users: A Frozen-LLM Negative Result
- A Stable Aggregation Method for Quantum Federated Learning
- Cross-Platform Generalisation Failure in Mental Health Natural Language Processing: A Five-Axis Fairness Audit of Transformer Models on Social Media
- Interpretable, Fairly Evaluated Automated L2 Speaking Assessment that Beats the Single-Human Ceiling and Why Pause Encoding Does Not Change LLM Fluency Scores
- Data Science Approaches to Evaluating Honours Candidates
- The Accuracy-Efficiency Paradox Quantifying Net Energy Loss in on-Device Energy Forecasting
- Beyond Information Retrieval: Generative AI as an Epistemic Arbiter to Enhance Collaborative Problem-Solving
- Foundation-Model Earth Representations Enable Regional-Scale Forest Aboveground Biomass Monitoring Across the Northeastern United States
- The Failures of Marginal Influence-Based Attribution Methods for Global Time Series Explanations
- OpenMHC: Accelerating the Science of Wearable Foundation Models
- HantaWatch: Federated Learning for Hantavirus Genomic Surveillance
- Token-Level Cross-Modal Transformer with Contrastive Multi-Task Learning for Breast Cancer Subtype Classification and Survival Prediction
- Learning 3D Affordances for Blade Insertion in Cluttered Stowing
- AEGIS: A Semantic GAN and Evidential Learning Frameworkfor Robust Adversarial Detection in Vision Sensors
- On the Necessity of a Liquid Substrate for Mesh Intelligence
- RSGPNet: Geometric Prompting for Remote Sensing Open-Vocabulary Semantic Segmentation
- Training Observable Control Policies to Expose Agent State Through Actions
- On the stability of scale-space metrics
- Spectral Subsurface Scattering from RGB via Biophysical Skin Inversion
- Global Explanations for Multivariate Time Series Forecasting Models via K-Order Markov Approximations
- Narrative-UFET: Narrative Generation for Ultra-Fine Entity Typing
- Odyssey: Constructing Verifiable Local Truth-Preserving Foundation Models
- CoIn: Comprehensive 2D-3D Inpainting with Gaussian Splatting Guidance
- Beyond Points: Spherical Distributional Part Prototypes for Interpretable Classification
- SceneBot: Contact-Prompted General Humanoid Whole Body Tracking with Scene-Interaction
- Distribution-based deep multiple instance learning for tumor proportion scoring in NSCLC
- hia-gat: A Heterogeneous Interaction-Aware Graph Attention Network For Frame-Level Traffic Conflict Risk Prediction On Freeways
- DeLux: Cross-Modal Local Artifact Restoration in Video Using Neuromorphic Data
- Fast-Mixing Markov Chains without Gradients
- Productionized Fairness Measurement Under Privacy Constraints
- Radar Guided Camera Verification for Automatic Emergency Braking Rethinking Object Detection in Radar Camera Fusion
- Understanding Cross-Rig Generalization in Automotive Perception: a Multi-Rig Benchmark and Rig Variation Metrics
- Beyond MoCap: Scaling Motion Tokenizers with Synthetic Human Motion for Generative Modeling
- Advancing Speaker-Based Vocal Effort Classification with WavLM and Data Augmentation in Naturalistic Non-Calibrated Speech Recordings
- Benchmarking Multi-Modal Graph-based Social Media Popularity Prediction
- The Context-Ready Transformer
- Learning from Annotation Uncertainty: Entropy-Aware Curriculum for Speech Emotion Recognition
- Large Language Model Teaches Visual Students: Cross-Modality Transfer of Fine-Grained Conceptual Knowledge
- Measuring Racial Disparities in Rent Growth Under Algorithmic Landlord Concentration in U.S. Metros
- Boundary condition fidelity for bottom-hole pressure and CO2 plume prediction in geological carbon storage
- Tessellating The Earth
- Structured-Li-GS: Structured 3D Gaussians Splatting with LiDAR Incorporation and Spatial Constraints
- TruEye: Fine-Grained Detection of AI-Generated Human Subjects in Images
- DMV-Bench: Diagnosing Long-Horizon Multimodal Agents' Visual Memory with Incidental Cue Injection
- SelectAnyTree: A Promptable Instance Segmentation Model for 3D Forest LiDAR Point Clouds
- Fine-tuning a multimodal large language model for clinician-grade autism behavioral scoring from short home videos
- Sampling the Schwinger Model with Gauge-Equivariant Diffusion
- Support-Constrained RL Enables Real-World Policy Improvement without Real-World Experience
- Speculative Refinement: A Hybrid Autoregressive Diffusion Decoding Strategy and Its Behavior Across Benchmarks
- The Decision Geometry of Covariance Estimation for the Global Minimum-Variance Portfolio under Heavy Tails
- Developmental approach reveals the statistical learning of Neural Language Models: Transformers generalize from the most abstract statistical patterns
- Geometry-Conditioned Fourier Neural Operators for Cubic Nonlinear Schrodinger Dynamics on Periodic Domains
- Directed Graph Topology Inference via Graph Filter Identification
- Prism Transformer: Progressive Head Schedules for Hierarchical Attention Processing
- Learning in Markovian bandits with non-observable states and constrained decision epochs
- Causal Connections: Leveraging Multilingual Fine-Tuning for Financial QA@FinCausal 2026
- SemCityLoc: Aerial 6DoF Localization Using Semantic 3D City Models
- Unified Zero-Shot Time Series Forecasting: A Darts Foundation
- GRAFT: Biological Graph and Hypergraph Benchmarks for Linked Gene Expression and Phenotypic Trait Prediction in Arabidopsis thaliana
- From Scene-Centric to Observer-Centric: Modeling Observer-Aware Relations for 3D Scene Graph Generation
- Compression-Driven Anomaly Detection in Brain MRI Using an Interpretable Quantum Autoencoder
- DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning
- Automated brain tumor detection in MRI images using CNN and ResNet architectures
- DnA: Denoising Attention for Visual Tasks
- Don't Settle at the Mode! Mitigating Diversity Collapse in Pretrained Flow Models via Feature Self-Guidance
- Reinforcement Learning without Ground-Truth Solutions can Improve LLMs
- Autoregressive Boltzmann Generators
- When are likely answers right? On Sequence Probability and Correctness in LLMs
- Error-Conditioned Neural Solvers
- All you need is log
- Mapping Political-Elite Networks in Europe with a Multilingual Joint Entity-Relation Extraction Pipeline
- Understanding Domain-Aware Distribution Alignment in Budgeted Entity Matching
- SAM2Matting: Generalized Image and Video Matting
- Language-Based Digital Twins for Elderly Cognitive Assistance
- RoPEMover: Depth-Aware Object Relocation via Positional Embeddings
- Elastic Time: Dynamic Frame Rate Bottlenecks for Neural Audio Coding
- OctoSense: Self-Supervised Learning for Multimodal Robot Perception
- LLM-Based Examination of Eligibility Criteria from Securities Prospectuses at the German Central Bank
- Blackwell Approachability and Gradient Equilibrium are Equivalent
- Beyond Surface Forms: A Comprehensive, Mechanism-Oriented Taxonomy of Indirect Linguistic Encoding for LLM-Based Coded Language Detection
- ViQ: Text-Aligned Visual Quantized Representations at Any Resolution
- See & Sniff: Learning Visuo-Olfactory Representations
- Multilingual Reasoning Cascades Need More Context
- Sculpting NeRF Geometry: Human-Preference Fine-Tuning of a 3D-Aware Face GAN
- A Multi-Fidelity Convolutional Autoencoder-Transfer Learning Framework for Guided-Wave-Based Damage Diagnosis Using Large Simulated and Limited Experimental Datasets
- AI Healthcare Chatbots as Information Infrastructure: A Large-Scale Study of User-Reported Breakdowns
- Fast algorithms for learning a Gaussian under halfspace truncation with optimal sample complexity
- Generative Models on Analog Hardware with Dynamics
- Simulation-based inference for rapid Bayesian parameter estimation in epidemiological models: a comparison with MCMC
- Recovering Governing Equations from Solution Data: Identifiability Bounds for Linear and Nonlinear ODEs
- How Good Can Linear Models Be for Time-Series Forecasting?
- Exact and Deterministic Patch Descriptor Retrieval via Hierarchical Normalization
- How Surprising Is Historical Italian to Language Models? Tokenization Tax, Comprehension Tax, and a Simple Mitigation
- BetXplain: An Explanation-Annotated Dataset for Detecting Manipulative Betting Advertisements on Social Media
- Ribbon: Scalable Approximation and Robust Uncertainty Quantification
- RSPC: A Benchmark for Modeling Stress and Psychiatric Conditions in Digitally Mediated Relationships using Psychiatrist Annotations
- Effective Covariance Dynamics in Solvable High-Dimensional GANs
- The Geometry of Updates: Fisher Alignment at Vocabulary Scale
- LMs as Task-Specific Knowledge Bases: An Interpretability Analysis
- From Celebrities to Anyone: Characterizing AI Nudification Content, Technology, and Community Dynamics on 4chan
- Bridging Talk and Thought: Understanding Dialogue Dynamics Across Collaborative Problem-Solving Contexts
- CARVE: Content-Aware Recurrent with Value Efficiency for Chunk-Parallel Linear Attention
- Compositionality and the lexicon in evolutionary semantics
- SatSplatDiff: Geometry-preserving generative refinement for high-fidelity satellite Gaussian Splatting
- Hierarchical Muon: Tiled Newton-Schulz Updates for Efficient Muon Optimization
- Vulnerability of Natural Language Classifiers to Evolutionary Generated Adversarial Text
- Syntactic Belief Update as the Driver of Garden Path Processing Difficulty
- Graph Neural Networks Applications Across Domains: All Insights You Need
- Explaining Temporal Graph Neural Networks via Feature-induced Information Flow
- Forecasting With LLMs: Improved Generalization Through Feature Steering
- LISA: Likelihood Score Alignment for Visual-condition Controllable Generation
- RecallRisk-BERT: A Multi-Task Framework for Post-Report Medical Device Recall Triage
- Stochastic Gradient Optimization with Model-Assisted Sampling
- Learning to Fold: prizewinning solution at LeHome Challenge 2026 (1st place online, 2nd offline)
- DMuon: Efficient Distributed Muon Training with Near-Adam Overhead
- Safe Autoregressive Image Generation with Iterative Self-Improving Codebooks
- fTNN: a tensor neural network for fractional PDEs
- FlameVQA: A Physically-Grounded UAV Wildfire VQA Benchmark with Radiometric Thermal Supervision
- Kolmogorov Arnold networks (KAN) for aerodynamic prediction: a comparison with MLPs and GNNs
- Efficient foundation decoders for fault-tolerant quantum computing
- Cross-Head Attention Uplift Network with Inverse Propensity Score under Unobserved Confounding
- Application of LLMs to Threat Assessment of Foreign Peacekeeping Missions
- Transformer-Based Classification of Bacterial Raman Spectra with LOOCV
- Data-Free Reservoir Features for Efficient Long-Horizon Cold-Start Continual Learning
- Inherited Circuits, Learned Semantics: How Fine-Tuning Creates Evasion Vulnerabilities Invisible to Standard Evaluation
- Beyond Global Divergences: A Local-Mass Perspective on Bayesian Inference
- SubdivAR: Autoregressive Next-Scale Prediction for Neural Mesh Subdivision
- Pseudo-Text-Conditioned 3D Grounding DINO for Organ Localization in Abdominal CT
- Finding Stationary Points by Comparisons
- PanoImager: Geometry-Guided Novel View Synthesis and Reconstruction from Sparse Panoramic Views
- Towards Explainable Adjudicative Variance: Quantifying Judicial Discretion via Gated Multi-Task Learning
- Parametric Open Source Games
- How to evaluate clustering with ground truth?
- NuclearQAv2: A Structured Benchmark for Evaluating Domain-Science Competence in Large Language Models
- Symplectic Neural Networks for Learning Non-Separable Hamiltonians
- MinGram: A Minimalist Unigram Tokenizer with High Compression and Competitive Morphological Alignment
- On-board Remote-Sensing Foundation Models for Unsupervised Change Detection of Disaster Events
- Inverse Design of Compact and Wideband Inverted Doherty Power Amplifiers Using Deep Learning
- Uncertainty quantification via conformal prediction in data assimilation
- Event-Aware Instructed Assistant for Referring Video Segmentation
- Enabling self-supervised learned primal dual with Noise2Inverse
- Decision-Aligned Evaluation of Uncertainty Quantification
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- Unison: Benchmarking Unified Multimodal Models via Synergistic Understanding and Generation
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- Neural Texture Compression using Hypernetworks
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- Tractography-Driven Synthetic Data Generation for Fiber Bundle Segmentation in Tracer Histology
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- Asymptotically Optimal Learning for Parametric Prophet Inequalities
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- Liquid Fusion of Heterogeneous Representations Towards General Salient Object Detection
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- The Capability Frontier: Benchmarks Miss 82% of Model Performance
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- Learning Adversarial Augmentation Policies for Robust Garlic Seedling Detection
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- FBK's Long-form SpeechLLMs for IWSLT 2026 Instruction Following
- Computational Analysis of Heart Rate Variability in Healthy Adults
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- KARLA: Knowledge-base Augmented Retrieval for Language Models
- From Vajrayana Tara to Bengali Baul: A Computational Study of Lexical Transmission Across Buddhist, Shakta, and Vaishnava Traditions in Bengal
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- Event-based Gaze Control System for Accurate Real-time Spin Estimation in Professional Ball Games
- Evaluation Pitfalls and Challenges in Multimedia Event Extraction
- Escaping Iterative Parameter-Space Noise: Differentially Private Learning with a Hypernetwork
- Anatomy-Guided Residual Motion Diffusion for Controllable 4D Cardiac MRI Synthesis
- Calibrated Harmonic Overlaid Implicit Neural Representations for Multi-Dimensional Data
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- Capacity-Controlled Multi-View Stylization of 3D Gaussian Splatting
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- Structure Before Collapse: Transient semantic geometry in next-token prediction
- Depth-Semantic Alignment and Affinity-Guided Fusion for Structured Radar Point Cloud Generation
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- Scientific discovery as meta-optimization: a combinatorial optimization case study
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- Full spectrum Unlearnable Examples via Spectral Equalization
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- Extracting Neural Materials from Images
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- Kalman Prototypical Networks for Few-shot Fault Detection in Combined Cycle Gas Turbines
- DroidBreaker: Practical and Functional Problem-Space Attacks on Machine-Learning Android Malware Detectors
- Intracranial Aneurysm Classification and Segmentation via Tri-Axial ROI and Multi-Task Learning
- Algorithmic Foundations of Deep Learning: Complexity-Theoretic Rates and a Characterization of Universal Approximation
- Learning Motion Feasibility from Point Clouds in Cluttered Environments
- Beyond Logical Forms: LLM-Extracted Patterns for Fallacy Classification
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- Generating Special Triangulations with Transformers
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- Scalable Operator Learning via Nystr"om Approximation With Denoising Applications
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- LayersReg: A Layer-by-Layer Progressive Regressor for Reliable Intraoperative 3D/2D Registration
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- Temporally Consistent Label Interpolation for Robust Surgical Multi-Task Learning under Challenging Conditions
- λ-PSD: Scalable Approximate SNR-Optimised Polynomial Stein Discrepancies
- Closing the Quality Gap in Low-Resource Text-to-Speech: LoRA Fine-Tuning of VoxCPM2 for Khmer and Korean
- Sketched Linear Contrastive Learning: Approximation, Optimization, and Statistical Scaling
- TaskTok: Delving into Task Tokens for Task-driven Image Restoration
- LogicIR: Logic Gate Networks for Image Restoration
- LLM-based Models for Detecting Emerging Topics in Service Feedback
- Content-Based Smart E-Mail Dispatcher Using Large Language Models
- Empirical Software Engineering TerraProbe: A Layered-Oracle Framework for Detecting Deceptive Fixes in LLM-Assisted Terraform
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- A Multi-Level Validation and Traceability Framework for AI-Generated Telescope Scheduling Decisions
- EvoOptiGraph: Weakness-Driven Coevolution via Graph-Based Structural Generation for Optimization Modeling
- IDEA: Insensitive to Dynamics Mismatch via Effect Alignment for Sim-to-Real Transfer in Multi-Agent Control
- Revisiting Action Factorization for Complex Action Spaces
- Multi-Modal Environment-Aware Beam Management for Massive MIMO: A Geometry-Driven Virtual Base Station Framework
- scBench-Long: Verifiable Benchmarking of Long-Horizon Single-Cell Biology
- Explainable Ensemble-Based Machine Learning Models for Detecting the Presence of Cirrhosis in Hepatitis C Patients
- SpaceRipple: Lightweight Semantic Delivery for Mission-Oriented LEO Earth Observation Satellite Networks
- Coarse-to-Fine: A Hybrid Self-Supervised Method for Non-rigid 3D Shape Matching
- PhyEditBench: A Real-World Multi-Stage Benchmark for Physics-Aware Image Editing
- PMDformer: Patch-Mean Decoupling Information Transformer for Long-term Forecasting
- Compiler-Driven Approximation Tuning for Hyperdimensional Computing
- Can Large Language Models Reliably Code Qualitative Humanitarian Data? A Benchmark Study Against Human Expert Adjudication
- CascadeFormer: Depth-Tapered Transformers Motivated by Gradient Fan-in Asymmetry
- VoiceTTA: Enhancing Zero-Shot Text-to-Speech via Reinforcement Learning-Based Test-Time Adaptation
- The inattentional gap in task conditioned AI models that omit otherwise reportable safety critical signals
- Theory-Scale Auto-Formalization of Logics for Computer Science
- Assessing Post-Reform Changes in Risk Disclosure Quality with a Multidimensional Text Analysis Approach
- Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting
- Forget, Anticipate and Adapt: Test Time Training for Long Videos
- Budget-Aware Keyboardless Interaction
- DanceDuo: Bridging Human Movement and AI Choreography
- Learning Probabilistic Filters with Strictly Proper Scoring Rules
- Clinical Harness for Governable Medical AI Skill Ecosystems
- Evaluation-Strategy Gap in Fault Diagnosis of Deep Learning Programs
- An Empirical Study of LLM-Generated Specifications for VeriFast
- Comparing BERT Sentence-Pair Classification and Few-Shot LLM Prompting for Detecting Threat and Solution Framing in German Climate News
- Speaking Numbers to LLMs: Multi-Wavelet Number Embeddings for Time Series Forecasting
- Utilizing Cognitive Signals Generated during Human Reading to Enhance Keyphrase Extraction from Microblogs
- Extracting Problem and Method Sentence from Scientific Papers: A Context-enhanced Transformer Using Formulaic Expression Desensitization
- When Does Quality-Aware Multimodal Fusion Matter? A Leakage-Safe Diagnostic for Decision-Level Dependence
- A Causal Foundation Model for Structure and Outcome Prediction
- 3D Spatial Pattern Matching