Papers
Fri 28 Aug 2026
382 papers
- AgenticCADedit: A Stateful, Tool-Mediated Agentic Approach to Multimodal 3D CAD EditingLLM agents and tool use → Multimodal and embodied agents
- An Exploratory Ablation of a Small MLA--SSM Hybrid Language ModelMixture-of-experts → MoE large language models
- STRAND: Benchmarking and Improving Object-Centric Spatio-Temporal Monitoring in Video Large Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- PROVE: Proof-guided Regime-aware Operator Verification for Hallucination Detection in Medical Visual Question AnsweringMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- When Agents Act Unwatched: The Reduced-Supervision Paradox in Agentic AILLM agents and tool use → Agent threats, guardrails and governance
- Correlation-Guided Flow Matching with Annealed Masking for Spatial Transcriptomics GenerationDiffusion models → Medical imaging and segmentation
- A Survey on Adversarial Attacks and Defenses for Diffusion Models Across Multiple ModalitiesDiffusion models → Robustness, privacy and adversarial aspects
- The Vocabulary Gap Is an Equity Gap: Register Mismatch in Retrieval Systems for Public-Benefits AccessRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Imagine Before Retrieval: Prospective Skill Retrieval for LLM AgentsLLM agents and tool use → Agent skill learning and evolution
- SocialBuddy: Tailoring Search Agent for Social ScenariosLLM agents and tool use → Web, search, and research agents
- The information geometry of product-reference discrete diffusion: Interaction growth complexity and optimal schedulingDiffusion models → Diffusion foundations and sampling
- Oculi: A Conversational Agentic Platform for Automated Credit Risk AnalysisLLM agents and tool use → Financial trading and forecasting agents
- Multimodal Deep Learning for Uncertainty-Aware Radiation Pneumonitis Risk PredictionDiffusion models → Medical imaging and segmentation
- Membership is Ownership: A Robust Ownership Verification Framework for Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- SemKV: Semantic Mixed-Precision KV Cache Quantization Guided by the Quality Cliff for Long-Context LLM InferenceEfficient LLM inference and serving → KV cache quantization
- Hybrid Offline-Online Multi-Agent Decision Transformers for Wireless Resource ManagementOffline RL and imitation learning from data → Offline multi-agent RL
- HALO: A Physics-Aware LLM Agent Framework for Nanophotonic DesignLLM agents and tool use → Medical and scientific domain agents
- No Detectable Change in Side-Level WER from Prompt-Level Context: A Preregistered Ablation on a Production Oral-History CorpusMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- The Halt Vector: Internalizing a Causal Steering Intervention for Efficient ReasoningLLM reasoning → Test-time compute and efficient thinking
- A rigor-matched audit of periodic-step layer skipping for efficient llm inference: conflayers versus swift, with a supplemental analysis of trained routing alternativesEfficient LLM inference and serving → Speculative decoding
- Enhancing SAE-based Steering via Neighbor Integrated Feature SelectionMechanistic interpretability → SAE features and their applications
- The reach of a verification tool decides its value: A controlled study of verification surface, artifact quality, and cost in AI coding agentsLLM agents and tool use → Software engineering coding agents
- Efficient Geothermal Well-Control Optimization via Diffusion-Surrogate Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- ASTRA - Agentic System for Ticket Resolution and AnalysisLLM agents and tool use → Agent threats, guardrails and governance
- ClearText-Video: A Large-Scale Text-Centric Video Dataset Bridging Video Restoration and Scene-Text EnhancementMultimodal LLMs / vision-language models → Video understanding with MLLMs
- ERR+: Sequential Entropy Resolution for Efficient and Decisive LLM ReasoningLLM reasoning → Reinforcement learning for reasoning
- Beyond Vector Search: Comparing Classical RAG with Hybrid GraphRAG for Climate Science Q&ARetrieval-augmented generation → Agentic RAG, agents and memory
- Inter-3D VQA: A Roadside Multimodal Benchmark for 3D Spatiotemporally Grounded Visual Question AnsweringLLM reasoning → Chain-of-thought reasoning for driving +1
- Generation of High-Level Concepts in 3D Scene Graphs via Autoregressive DiffusionLLM reasoning → Spatial and embodied reasoning
- Pro-Router: Token-Aware Progressive Model Routing with Adaptive Edge-Cloud Collaboration for Efficient Multimodal LLM InferenceMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- RoboPhys-3D: A Comprehensive Embodied World Model Evaluation via 3D ReconstructionWorld models → Embodied and robot world models
- Video Generative Models as Geometry LearnerDiffusion models → 3D, point cloud and scene generation
- An Enclosed Mode Is a Gauge Choice: Topology Relative to Reach in Certified Code World ModelsWorld models → World models for language agents
- Training Communication-Efficient Mixture-of-Experts Language Models with Layer Re-ConfigurationMixture-of-experts → MoE large language models
- Recognition Without Enforcement: Configuration-Dependent Failures in LLM Agent Instruction Arbitration and External ControlLLM agents and tool use → Agent threats, guardrails and governance
- On the Maintenance and Co-evolution of Agent Plugins: An Empirical Study of Claude Code Plugin MarketplacesLLM agents and tool use → Software engineering coding agents
- Ladders in Chaos: When, How, (and Perhaps Why) Does Test-Time Scaling Improve LLM Machine TranslationLLM reasoning → Test-time compute and efficient thinking
- AcrossVAM1.0: Particle World Modeling for Text-Assisted Robot Video PredictionWorld models → Embodied and robot world models
- LLM-Based Agents for Software and Systems Security: Approaches, Applications, and AssessmentLLM agents and tool use → Agent threats, guardrails and governance
- NL2AGBench: Benchmarking LLM Auto-Formalization for AlphaGeometryLLM reasoning → Mathematical reasoning
- ContextPilot: Teaching Agents for Proactive Context Management via Fine-grained RLLLM agents and tool use → Agent memory systems
- LayerRecall: A State-Conditioned Memory Router for Long-Horizon Consistency in Video GenerationDiffusion models → Video generation
- Learning to Use Tools: Reinforcement Learning for Tool-Integrated Mathematical ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- Sliding-window beats linear attentionEfficient LLM inference and serving → KV cache optimization
- Fidelity Is Not Enough: Dispatch-Level Instrumentation for Agentic Datasheet ExtractionLLM agents and tool use → Web, search, and research agents
- LUCID: An Agentic AI Framework on Digital-Twin in the Loop for QoS-Guaranteeing Robotic ControlLLM agents and tool use → Agentic AI for wireless networks
- Linear Temporal Logic Translation via Human-Inspired Self-Constrained Reasoning for Robot Task SpecificationLLM reasoning → Spatial and embodied reasoning
- LongPIBench: A Long-Context Benchmark for Prompt InjectionLLM safety and security → Prompt injection and agent security
- How Far Can 5,500 Hours of Driving Take You? A Scaling Law Analysis of Video Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
- VERA-8B: Evidence-Grounded Audit Risk Reasoning from SEC FilingsLLM reasoning → Reasoning for agents, planning and code
- RetailAgent: Structured Adverse Timing in Self-Conditioned Multimodal LLM Trading AgentsLLM agents and tool use → Financial trading and forecasting agents
- CamoDocs: A Poisoning Attack Against Retrieval-Augmented Language Models Using Camouflaged DocumentsRetrieval-augmented generation → Privacy and security of RAG +1
- Semantic Head Specialization Guides Hybrid ViT Attention for Multimodal LLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- PersonaForge: Realistic Multi-Turn User Simulation for Agentic SystemsLLM agents and tool use → Social simulation and multi-agent debate
- EvoUndo: Recoverability-Constrained Self-Evolution for LLM Agent HarnessesLLM agents and tool use → Software engineering coding agents
- GRACE:Gradient-guided Coreset Selection for LLM UnlearningLLM safety and security → Machine unlearning
- AIM: Anchor Identity Features, Then Match for Multimodal Large Language Model UnlearningMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- VISTA: Verifier-Informed Student-to-Teacher Adaptation for On-Policy Self-DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- FUSED: Forensic-Semantic Mixture-of-Experts for AI Inpainting Detection and LocalizationMixture-of-experts → Vision mixture-of-experts
- A Probabilistic Interpretation of KV Cache EvictionEfficient LLM inference and serving → KV cache optimization
- LoopArena: Benchmarking Models as Runtime Controllers for Loop EngineeringLLM agents and tool use → Software engineering coding agents
- Spatial-Semantic Reasoning using Large Language Models for Efficient UAV Search OperationsLLM reasoning → Spatial and embodied reasoning
- CoCoBench: A Cooperative Coordination Benchmark for Embodied Multi-Agent Task PlanningLLM agents and tool use → Multimodal and embodied agents
- Finding Where the Buck Stops: An Automated Failure Attribution-Based Reflection Framework for Multi-Agent CollaborationLLM agents and tool use → Software engineering coding agents
- Physics-Guided Flow Matching for CT Image ReconstructionDiffusion models → Medical imaging and segmentation
- Regime-Aware Portfolio Management via Retrieval-Augmented LLM-Guided Expert SwitchingRetrieval-augmented generation → Legal and financial RAG
- Synth-JDoc: Synthesizing a Japanese Document Image Dataset for OCR with Diverse Layouts and Embedded ImagesMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- REINS: Refusal-Enhanced Inhibitory Steering with Sparse Autoencoder FeaturesLLM safety and security → Safety alignment, refusal and guardrails +1
- Focus Where It Counts: A Salience-Driven Vision-Language Model for Low Vision AssistanceMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- WALDO: One-Shot Exemplar-Conditioned Object Detection in Cluttered ScenesWorld models → World modeling from LiDAR generation +1
- EXPOSE: Explainable and Domain-Robust Embeddings from Pathology Vision Foundation Models using Sparse AutoencodersMechanistic interpretability → Interpreting biomedical and science models
- Benchmarking large language model agent societies against human behavioural distributionsLLM agents and tool use → Social simulation and multi-agent debate
- HARTS: Efficient Agentic Reinforcement Learning for Hybrid-Attention Models over Arbitrary Rollout TreesLLM agents and tool use → Reinforcement learning for LLM agents +1
- Dual-Stream Semantic Guidance with Prototype Anchor Calibration for Source-Fully-Free Adaptation of Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP +1
- The Shape of Power: A Multilingual Framework for Social Power Reasoning in DialoguesLLM reasoning → Reasoning benchmarks and evaluation
- Conditional Diffusion Models for Energy-Efficient DrivingDiffusion models → Diffusion and flow policies for robotics
- Token-Budget Distillation: Transferring Full-Token Semantics to Compressed Video Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- VICT: Verifier-Instrumented Credit Tracing for Long-Horizon LLM Agent Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
- DeicticVLA: Unifying Instruction Modes Based on Language and Deictic Gestures in a Single VLAVision-language-action models → Reasoning and chain-of-thought in VLA
- Do Medical Vision Models Reason About Anatomy? Probing the Spatial Inductive Biases of Learned Visual RepresentationsLLM reasoning → Clinical and biomedical applications
- Ada-TokenCom: Rate-Adaptive Token Communications via Large-Model-Driven Token Compression and GenerationEfficient LLM inference and serving → Speculative decoding
- Learning to Allocate Incentives for Incentivized Advertising via Offline Model-Based Reinforcement LearningOffline RL and imitation learning from data → Decision transformers and sequence modeling
- WeAgent-MMSearch: Native Text-Vision Interaction for Multimodal Search AgentsLLM agents and tool use → Multimodal and embodied agents
- Dynamic Alignment Compensation for Hallucination Mitigation in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Characterization of Request and Token Energy Costs for LLM Inference Workloads on GPU PlatformsMixture-of-experts → Efficient MoE training and inference systems
- Twin Worlds: Equivariance-Based Abstention for Evidence-Grounded ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Coverage, Not Credit: Failure-Credit Routing of Zeroth-Order Perturbation Budgets Does Not Improve On-Pool Sample Efficiency for LLM AgentsLLM agents and tool use → Software engineering coding agents
- When Can Conditional Flow Matching Replace Pointwise Negative Log-Likelihood?Diffusion models → Flow matching, time series and science
- Visual Token Coding for Video Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Should I Use This Synthetic Dataset for Training? How to Test with Minimal Real DataWorld models → Embodied and robot world models
- Moirae: A Multimodal Agent Collaborative Framework for Dynamic Android Malware DetectionLLM agents and tool use → Agent threats, guardrails and governance
- CAITLYN: Can LLM Agents Autonomously Synthesize Defenses against Emerging Injection Attacks?LLM agents and tool use → Agent threats, guardrails and governance +1
- When Evidence Shapes Collaboration: Knowledge-Conditioned Topology Generation for Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Learning from Hard Prompts: Difficulty-aware Advantage Amplification in Dynamic SamplingLLM reasoning → Reinforcement learning for reasoning
- PhyMamba: Physics-Modulated Mamba for Robust Battery Health PrognosticsState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
- openJiuwen: Beyond Static Harnesses for Long-Horizon Coding AgentsLLM agents and tool use → Software engineering coding agents
- AERA: Adaptive Evidence Residual Allocation for Efficient Test-Time ReasoningLLM reasoning → Test-time compute and efficient thinking
- SABER: Stability-Aware Early Exit for LLM Reasoning via Adversarial Branch ProbingLLM reasoning → Test-time compute and efficient thinking +1
- When Teacher Guidance Misleads: Reward-Aligned On-Policy DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- The Illusion of textitWhat If: Evaluating the Breakdown of Counterfactual Reasoning in LLMsLLM reasoning → Causal reasoning in LLMs
All 382
- Graphionale: How Graph Visualizations of LLM Rationales Affect Human Decision MakingLLM reasoning → Reasoning benchmarks and evaluation
- What Makes Agent Memory Useful for Reliable Unanswerable Question Handling?LLM agents and tool use → Agent memory systems
- DensityKV: Density-Guided KV Cache Compression for Long Video GenerationDiffusion models → Video generation +1
- From Documents to Reasoning: A Validated Synthetic Data Pipeline and Semantic-Aware Fine-Tuning for Financial Numerical ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- ITER: Interaction-Aware Retrieval for Agentic SearchLLM agents and tool use → Web, search, and research agents
- TACIT-Switch: Cost-Aware Model Escalation for LLM Agents from Censored SupervisionLLM agents and tool use → Software engineering coding agents
- AI Alignment through a Game-theoretic Lens: A SurveyLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Rubric-to-Code Credit Assignment for Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- LandingAgent: A Reference-Annotated Dataset and Agentic Generation Framework for Landing PagesLLM agents and tool use → Web, search, and research agents
- OpenStamp: A Watermark for Open-Source Language ModelsLLM safety and security → Watermarking generated content and models
- Resource Constraints and Performance in Agentic AI SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- SOMTab: Set-Order Mamba for Efficient Tabular In-Context LearningState-space sequence models (S4, Mamba) → Core SSM architectures for language
- StreamEMS: Streaming Video Understanding with Self-Evolving Memory Scheme for Vision-Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Relational Knowledge Distillation Brings DNN Representations Close Enough to Humans to Be Aligned Without SupervisionKnowledge distillation → General knowledge distillation methods
- TerraceMoE: A Cost Model for Hierarchical MoE All-to-All CommunicationMixture-of-experts → Efficient MoE training and inference systems
- Temporal Tree of Thought: Reasoning-Guided Visual Cue Search for Long-Video UnderstandingLLM reasoning → Multimodal reasoning +1
- See, Hypothesize, Validate: Multimodal Agentic Framework for Discovering Governing PDEsLLM agents and tool use → Web, search, and research agents
- CoRe-MoE: Compact Reusable MoE for Continual Multimodal Instruction TuningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP +1
- Iron: Intent-Aligned and Retrospective Dual Learning Framework for Enhancing Generalist Virtual AgentsLLM agents and tool use → Multimodal and embodied agents
- SpikeOPD: Stable On-Policy Distillation for Autoregressive Spiking Language ModelsKnowledge distillation → Distillation for spiking neural networks
- FedEHR-Agents: Federated Agentic Optimization for Automated EHR ModelingLLM agents and tool use → Medical and scientific domain agents
- EvoHarmBench: Breaking Content Moderation with Iterative Human-Like EvasionLLM safety and security → Safety alignment, refusal and guardrails
- Synthetic Linguistic Agency: How an Embodied Mortal Agent Learns Linguistic Affordances through Consequential Social ExperienceLLM agents and tool use → General LLM agent frameworks and benchmarks
- FISGuard: Defending Against Membership Inference via Fixed Input SubspacesLLM safety and security → Federated unlearning and poisoning
- RealSWE: A Compositional Evaluation of Coding Agents under Realistic User RequestsLLM agents and tool use → Software engineering coding agents
- AcCoRD: Evaluating User-Agent Collaboration Under Realistic User Preference DynamicsLLM agents and tool use → General LLM agent frameworks and benchmarks
- LINE Conversation History Retrieval for Personal Memory RAG: Evaluating Search Representations and Hybrid RetrievalRetrieval-augmented generation → Conversational and speech RAG
- ContextLeak: Exfiltrating LLM Agent Context via Malicious ToolsLLM agents and tool use → Agent threats, guardrails and governance
- ReToolSQL: Agentic Reinforcement Learning for Robust Text-to-SQLLLM agents and tool use → Web, search, and research agents
- Credo: Reusable Declarative Primitives for Agentic WorkflowsLLM agents and tool use → Software engineering coding agents
- Operator Packages, Proposer Strength, and Construction-Family Plateaus in Office-Scale Verified Search
- iCoder-27B: Recursive AI-Led Development of Frontier Industrial Coding Model
- Limited Structural Reliability in Public Educational Prediction Benchmarks: A Four-Dimension Audit of Seven Datasets
- Evidence-Driven Differential Diagnosis of Malignant Melanoma
- Physics-Informed Classical and Quantum Neural Networks for One-Dimensional Schrodinger Eigenvalue Problems
- Fairness Beyond Anonymization? Demographic Leakage in German LLM-Generated Resumes
- Adaptive Physics-Informed Neural Networks for the Blasius Boundary-Layer Problem
- DPTM-DT: Dual-Pretrained Transformer Multitask Representation Learning for Drug-Target Prediction
- Generic Characteristic-Zero Equivalence Between Derivative B'ezout Inversion and Multipoint Evaluation
- Motion-Omni: End-to-End Joint Speech and Full-Body Motion for Spoken Dialogue
- Encore: Infinite Audio-Video Generation with Adaptive Signal Routing
- EULER: Exploring Underused Links with Evidence-Checked Return for Multi-Agent Mathematical Discovery
- From the Loss Landscape to Diverse Feature Learning in Neural Networks
- Automated Researchers Can Mitigate Well-characterized Alignment Failures
- Revisiting the Provable-Auditable Privacy Gap of DP-SGD
- NBS: No Bias Stereo
- VocalAffectBench: Evaluating Vocal Emotion Recognition in AI Audio Models
- MERIT: Mitigating Exposure Bias in Generative XMC for User-Interest Propensity Modeling
- The Hallucination Signal Is a Mean Shift: Why Simple Probes Suffice
- Leveraging Turn-taking Dynamics for Intent Recognition in Multi-party Conversations
- Causal Interventions Reveal Typologically Organized Syntactic Mechanisms in Multilingual Language Models
- ActiveAugment: Online Active Learning for Augmentation Selection in Deep Learning
- RankShift: In-Database Detection and Explanation of Categorical Shifts
- VoiceCodeBench: Evaluating Exact Structured-Token Recovery in Automatic Speech Recognition
- mmIR: Frequency-Space Inverse Rendering for 3D Millimeter-Wave Radar ADC Synthesis
- Learning-Theoretic Foundation for General Coded Computing: The Straggler Setting
- Coarse to Fine: Iterative Adversarial Neural Cellular Automata for Medical Image Synthesis
- Structured State Reconciliation for Human-AI Task Handover
- Off-Policy Evaluation for Semantic ID Recommenders: Does the Model's Own Code Hierarchy Help?
- Conservative Hybrid Graph Networks for Process Systems with Learned Routing
- ReconSplat: Generalizable 3D Scene Reconstruction Beyond Observed Views
- Pixel-wise Geo-registration of Drone and Satellite Images
- Moving the Mean Toward the Known Good, Not Beyond It: What Inference-Time Interventions and Weight Consolidation Buy in Open-Ended Generation
- MineCEraft: Evaluating Language Models as Construction Engineers in the World of Minecraft
- MWIR-4-Plastic: The Identification of Complex End-of-Life Industrial Plastic using Mid-wave Infrared Hyperspectral Imaging and Machine Learning
- Generative Translation Priors: Bayesian Imaging with Cross-Modality Image Translation
- Uncertainty-Aware Multi-Task Learning for Joint Modulation Recognition and SINR Estimation
- Latent-Space Intervention for Cross-Lingual Factual Consistency: Consistency Improvements without Accuracy Drops
- Equivariant Sheaf Neural Networks: Learning Geometric Transport on Graphs
- Toward Postural State Classification in Immersive VR with Multimodal Data and Explainability Analysis
- Curvature Cryptanalysis of Smooth Transformer Feed-Forward Networks
- Unsupervised Latent Space Alignment with Hyperspherical Geodesic Matching
- Reconstruction-Aware Cryo-EM Particle Picking
- Delegating Before Learning: Where Generative AI Sits in Students' Professional Communication
- Evaluating the Hidden Costs of Personalization in Large Language Models
- BlobBoards: Robust Markers for Accurate Pose
- Representation Learning with Quantum Signal Processing
- Quantitative Target Convergence and Uniform-in-Time Propagation of Chaos for Langevin-Regularized SVGD
- Discovering Machine Correlates of Consciousness
- Text-Driven Artistic Staging: 3D Posing, Lighting, and Camera References from Paintings
- Explainable Artificial Intelligence (XAI) in Computational Pathology: Definitions, Taxonomy, and Recommendations
- FigMirror: Ground It, Code It, Plot It
- Capability-Stratified Degradation in Ternary Language Models
- A Large-scale Evaluation of Text-guided Models for Facial Editing
- Separable Nonnegative Matrix Factorization Using Powered Ratio-of-Norms Regularization
- Blind Stereoscopic Omnidirectional Image Quality Assessment Using Predictive Coding Hierarchy
- Breaking Darknet CAPTCHAs with general purpose LLM
- Beyond Representation Learning: A Systematic Study of Joint-Embedding Predictive Generation for 3D Brain MRI
- Adversarial Calibration Attack on Autonomous Vehicles
- FairReL: Deepfake Detection using Fairness-Aware Representation Learning
- Evaluating Multilingual Sentence Embeddings for Translation Error Detection:An English--Greek Contrastive Study
- Medical Foundation Model Features as Perceptual Loss for Brain MRI Contrast Dose Simulation
- Peer Oversight in Collective Decision Making
- Efficient JPEG Restoration in the Wavelet Domain via Mean Flows
- PermitGPT: A Unified Generative-AI Pipeline for Construction Hazard Forecasting, Permit Prediction, and Community Impact
- Beyond the Answer Key: Robustness Evaluation of Large Language Models for Step-Level Mathematical Verification
- MANTLE: A Framework for Adaptive In-Situ Planetary Perception Using a Modular Uplink Principle
- Evaluating the Effects of Inter-Observer and Model Variability on Radiological Peritoneal Cancer Index Assessment
- SCoPE-Reg: Efficient Rigid Ultrasound Slice-to-Volume Registration via State-Space Correlation and Closed-Form Pose Estimation
- Evaluating the Safety of Deep Learning-Based Brain MRI Reconstruction
- Coronary Mask Guided Registration for Continuous Time 4D Cardiac CT Dataset Construction
- QGPINNs: A Physics-Informed Neural Network Framework for Nonlocal Differential Equations on Quantum Graphs
- Aero Hand Open: A Simulation-Ready Tendon-Driven Hand for Dexterous Manipulation Learning
- Learning a Size-Weight Frontier for Synthetic-Augmented Inference
- SignRR: Retrieve and Refine Real Motion for Sign Language Production
- GeBDA: Building Damage Assessment as Text-Based Sequence Prediction
- On two proofs of d2 mixing of weighted Dikin walks
- Learning between the peaks: sharp asymptotics for kernel ridge regression under power-law anisotropy
- A Formal Limitation on Learning Human Language From Textual Corpora
- Blog: Survey of Optimizers
- Composition without a Host: Carrying the Spatiotemporal-Composability Guarantee of Plugin-Based Agents across Processes
- Advancing Interaction-Sensitive Feature Selection: Novel Relief-Based Algorithms, Expanded Comparisons, and Recommendations for Biomedical Data Mining
- DARTS: Decoder-Aware Representation Tuning via Surgery for Model Merging
- InstructMesh: Selective Refinement of Generative 3D Models for Fabrication
- Texture Image Classification Using DWT AlexNet Feature Fusion and Deep Neural Networks
- When Robots Mishear Us: Mapping the Safety Risks of Voice-Controlled Embodied AI
- Learning the Target Priors Before Image Translation: A Decoupled Training Paradigm for Cross-Modal Image Translation in Remote Sensing
- Conformal Uncertainty Quantification Guarantees for Neural Operators
- Phoneme- and Word-Level Metrics Using Self-Supervised Speech Representations for Forced Alignment Evaluation
- REPLICANT: Learning Policies for Evading and Hardening Malware Detectors
- How Proper Scoring Rules Shape LLM Forecasting
- Blind Men and the Elephant: Probing the Epistemic Myopia of LLMs under Long-Tail Divergent Knowledge
- COVER: Identifiable Evaluation of Coalition Routing
- Real-time virtual circuits for plasma shape control via neural network emulators: experimental demonstration on MAST Upgrade
- Stranger, Fan, or Peer? A Systematic Study on the Role of Interlocutor in Persona-Based Dialogue Generation
- Anatomy-Aware Promptable Segmentation with Online Interactive Training for AUTOPET V
- Acquire, Repair, Preserve: A Diagnosis-Guided Post-Training Recipe for Small-Model Dialogue Game Agents
- ARC-CT: Anatomy-Routed Contrastive Vision-Language Learning for 3D Chest CT
- Prompt-Guided Interactive Segmentation of Interstitial Lung Disease in Thoracic CT
- Generalized Splines and Gaussian Processes
- Curvature-Conditioned Multiscale Momentum with Sphere Constraints for LLM Pretraining
- Prove2Me: An Open Collaborative Platform for Scaling Math Formalization
- Are These Modules Worth Their Cost? A Paradigm-Level Accuracy-Cost Analysis of In-context Learning Text-to-SQL
- Lossy Event Compression: From Event Stream Distortion to Task Performance
- Euclidean Fourier Neural Operators
- Program Learning with Verifiable Rewards: Symbolic Backpropagation for Post-Training LLMs
- SymboLLM-FE: LLM-Accelerated Symbolic Regression for Automated Feature Engineering on Tabular Data
- A Unified Framework to Elicit Structured Feedback for Interpretable Multi-Trait Essay Scoring
- Post-Training VLMs for Video Mistake Detection
- CultureConverse: A Multilingual Multi-turn Simulation Harness for Culturally Grounded Assistance in East and Southeast Asia
- BEACON: Behavior-Anchored Cross-Source Knowledge Graph Construction for Cyber Threat Intelligence
- Timing-Aware Repurchase Prediction for Web-Scale E-Commerce: Survival Models for Multi-Surface Grocery Recommendation
- GraspHOI: Full-Body 3D Human-Object Reconstruction with Finger-Level Grasps from a Single In-the-Wild Image
- MAP: A Benchmark on Multimodal Accessibility Planning for Real World Places
- When Linguistic and Internal Confidence Diverge in Large Language Models
- Quantum Federated Learning Based on Bures--Uhlmann Geometry for Heterogeneous Noisy Clients
- Localizing Global Discrepancies: Marginal Contributions and Contextual Anomaly Detection
- AI as Teammate: Rethinking Task Distribution in Medical Training
- Real-Time Musculoskeletal Surrogates for Pediatric Cerebral Palsy: a Credibility Pilot
- Real-Time Monitoring of MHD Liquid Metal Flows with Shallow Recurrent Decoders
- Optimal Adversarial Testing: Extracting Honest Test Results from Dishonest Test Takers
- Propagating construction-time knowledge quality into medical question answering: A framework grounded in clinical guidelines
- AGENT-O: A Semantic Agent Card Framework for Interoperable and Governed Healthcare AI Agents
- Denoising-Aware Temporal Point Cloud Completion for 3D Crop Architecture Recovery and Phenotypic Trait Extraction
- Cross-Spectral Dense Correspondence for Multimodal Spectral Medical Imaging
- Abstract4D: A Large-Scale Dataset and Framework for Understanding the Visual Language of Abstract Art
- Real-Valued Hyperdimensional Sequence Representations with Hadamard Product Binding and Shift Equivariance
- BanglaMed-QA: A Question Answering System for Healthcare Support in Bangla
- Layered LLM Defenses as an Ensemble: Access Tiers, Inference Cost, and the Measured Failure Correlation Between Defense Layers
- Conditional Visual Evidence Utility: State-Dependent Rank Reversals in Frozen Vision-Language Encoders
- MAIL: Memory-driven, Adaptive, Incremental, and Literature-grounded Framework for Hypothesis Generation in Chemistry
- Deriving Scaling Laws for OpenEuroLLM Models: Learning Rate, Batch Size and Loss
- PanelShield: Verifiable Closed-Loop Safe Planning for Robotic Industrial Panel Operation
- MaCoPlanner: LLM-Assisted Manual-Compiled Task Planning with Proactive Safety Verification for Robotic Industrial Panel Operation
- Memristive-Friendly Hadamard Reservoir Computing: Structured, Multiplier-Free Recurrences at Scale
- GeoFF3D: Coordinate-Anchored Feed-Forward Reconstruction for Large-Scale UAV Mapping
- Embedding Models for Stance-Aware Argument Retrieval
- Parser Transitions Already Reveal Structural Responsibility: KV Persistence for Structured Generation
- An algebraic proof of Colombo's difference-power determinant conjecture
- Learning to Transfer Across Modes: Towards Unified Urban Mobility Forecasting
- Non-Uniform Quantisation for 3DGS Compression
- RECAST: Recent & Context-Aware Sampling for Test-Time Adaptation in Streaming Biosignals
- Residual-Guided Randomized Neural Networks
- SinkSLOT: Sinkhorn via Sparse Lifted Optimal Transport
- A comprehensive and trustworthy benchmark of AI methods for change detection in Earth observation
- Training-free Suction Grasp Detection for Deformed Aseptic Cartons Using Vision-Language Models and Geometric Surface Scoring
- I-FLOP: Fast Learning of Order and Parents from Interventional Data
- Spectral Features Dominate BCG Respiratory-Event Detection: A Large-Scale Patient-Independent Comparison of Feature Groups in Sleep Apnea Patients
- Beyond Task-Only Matching: Personalized Skill Routing with Counterfactual Evaluation
- WilLaGS: Latent-Conditional 3D Appearance Fields for Robust Gaussian Splatting In-the-Wild
- Efficient Online Continual Foundation Model Fine-Tuning for Predictive Process Monitoring
- D-TAIA: Domain-Aware LLM Adaptation for Multi-Task Predictive Process Monitoring
- Stay Within Your Bounds: Distance-Guided Decoding for Guaranteed Context-Free Grammar Compliance
- Generative AI Alignment with Hinduism's Theological Plurality and Sacred Representation
- RASA: Disentangled Spatial-Motional Priors for Cross-Identity Character Animation
- Generalized Context in Cross Attention for Transfer Learning of Disjoint Tabular Data
- Explainable Diabetic Retinopathy Classification Using Vision Foundation Models
- NumBench: Diagnosing Counting Failures in Text-to-Image Models
- Cut-ViT: Task-Specific Model Pruning via Gram Anchoring Subspace Consistency
- Performative Privacy: When Differential Privacy Maximizes Utility
- UniLipi: A Unified Multi-Script OCR for Historical Indic Manuscripts
- Locate Anything in Videos: Rethinking Efficient Generative Spatio-Temporal Video Grounding
- Beyond Flat Netlist: Hierarchical Graph Representation Learning for Scalable Analysis of Sequential Circuits
- Biologically Inspired Mechanisms for Facilitating Grokking in Multilayer Perceptrons
- Memory-efficient GPU pipelines for real-time non-line-of-sight reconstruction
- Conformal Risk-Averse Decision Making with Optimized Certainty Equivalent Risk Control
- Expert Knowledge & Machine Understanding: Bridging Reactome's Ontology with LLM Semantic Embeddings
- Manifold4D: Denoising on Point Cloud Rendered Manifolds for Video Re-shooting
- Text Restoration of Ancient Documents with Language Models
- CrabOS: An Operating System for Human-AI Co-inhabitation
- Empowering Local Agriculture: A Deep Learning-Powered Web System for Identifying Bangladeshi Mango Varieties
- Gen-TAS: A Generative AI-Aided Hardware-Software Task Allocation Framework for FPGA-GPP Heterogeneous Systems
- FinExam-10K: When Retrieval Helps Financial Reasoning?
- Under-Mattress Temporal Sensing for Next-Day Agitation Risk Scoring in Dementia Wards
- Nested Byte-Level Vocabularies Are Cheap to Deploy and Expensive to Share: A Pre-Registered Negative Result
- Intrinsic Interaction Geometry Controls the Low-Rank Complexity of Softmax Attention
- Post-Edit Re-Verification in Simulator-Backed Engineering Agents: A Controlled Comparison of Verification-Cadence Guidance
- CheXtriev: Anatomy-Centered Representation for Case-Based Retrieval of Chest Radiographs
- Learning to Difference: Adaptive Reversible Differencing (AdaRDiff) for Time Series Forecasting
- Generalized Gibbs Ensemble Weighting for Forecast Combination
- H-Scale: Hessian-Guided Scale Refinement for NVFP4 Sub-Byte LLM Inference
- What Will This Copper Look Like Later? Forecasting Surface Appearance and Rendering It as a PBR Material
- Speculative Probing: LLM Monitoring at Speculative-Decoding Cost
- Ex-Sim(3)-Reg: 2D-3D Correspondence Pruning via Extended Sim(3) Registration
- Comparing Classical and Quantum Machine Learning for Regression in High Energy Physics Collision Data
- Attribute Token Arithmetic: Disentangled and Continuous Semantic Control for Visual Autoregressive Models
- Cyc3D: Evaluating Cyclic Structural Stability and Asset Usability in Image-to-3D Generation
- Task-State Adaptation with Prototype Memory for Multi-Task Dense Prediction
- CF-YOLO: Context-Aware Feature Refinement for Camouflaged Industrial Micro-Defect Detection
- VersaGauss: A Versatile Framework for Generating Multiphase Dynamics with 3D Gaussians
- SEPO: Evidence-Grounded Prompt Optimization via Structural Editing
- A Controlled Audit of Architectural Complexity in Uncertainty-Aware Multi-Organ Ultrasound Classification
- Landau theory of quenched criticality in linear in-context learning
- CNeo-Bench: Diagnosing Large Language Models on Chinese Neologisms
- Explainable Uncertainty Estimation for Reliable Medical AI
- Emergent aggregation from collective foraging
- SimpCue: Cue-Based Prompting for Multilingual Text Simplification
- A Shaky Voice Is Not Always a Dodge: Benchmarking Textual and Vocal Evasion Detection in Earnings Calls
- ZipMVS: Multi-View Stereo with Compressed Cost Volumes
- String: An Agentic OS Where Every App Is a Markdown File
- Compared to What? A Human-Anchored Security Benchmark for LLM-Generated Infrastructure-as-Code
- 3D-USE: From Image-Level to Scene-Level Underwater Enhancement
- Beyond Global Scalars: Synergizing Token-Level Statistics and Deep Semantics for Adversarial AIGC Text Detection
- Exact Risk Ratios for Weighted Data Selection in Linear Regression
- A Method for Layer Bit-Width Allocation in LLM Quantization via Performance Maximization Under a Quality-Degradation Constraint
- PhenoIntel: A Lifecycle-Aligned Multi-Agent Web Application for Verified, Accessible Plant Phenotype Analysis
- Automated Analysis Framework for Multilingual Climate-Health Literature Based on Multi-Agent Large Language Model
- A-PAIR: A Benchmark and Identity-Consistent Grounding Framework for Air-Ground Cross-View Referring Person Detection
- GOD: Govern, Observe, and Direct - A Real-Time Control Room for Agent Societies
- GAN-Based Semantic Communication for Image Transmission in IoV
- Predicting Turn-Taking Outcomes in Multi-Party Conversation: Interpretable Modelling of Speech and Gaze Dynamics with Interpersonal Closeness
- Is Monte Carlo Tree Search Just Every-Visit Monte Carlo Control?
- QUORUM: QUality-Optimized Routing Using Multiple annotators
- GAAT: Geometry-Aware Alignment Transformer for Multimodal UAV Perception
- DisCTI: Who Needs to Know Timely? Automated Sector-Aware Cyber Threat Intelligence Dissemination
- Lexically conditioned realization ambiguity in Korean predicate morphology
- Not to Break, but to Attest: Adversarial Probes for Privacy-Preserving LLM Verification
- Temporal Memory-Aware Online Test-Time Adaptation on Dynamic Graphs
- Cross-Session Decomposition Attacks: Scaling Risk and Intent-Aligned Retrieval Defense
- CASTANET: Causality-Aware Spatio-Temporal Adversarial Network Using Traffic Incident Effects
- A Deep Learning-Based Stacking Ensemble Framework for Turbofan Engine Remaining Useful Life Prediction
- TI2PS: A Topology-Informed Inverse Design Framework for Stochastic Multicellular Pattern Formation
- Training-Free Temporal Abstraction for General Video Understanding
- Antipatterns in AI-assisted Qualitative Data Analysis: A Catalog of Temptations and Pitfalls for Software Engineering Researchers
- Entity-Memory Graph Retrieval Improves Evidence Coverage in Long-Conversation Question Answering
- PCBnet: A Dataset and Automatic Construction of SPICE Netlists from Schematic Images
- Low-Altitude Fluid Antenna Network with Multi-Agent Reinforcement Learning
- CommerceVibe: Learning to Design E-Commerce Creatives as Executable Visual Code via Dual-Feedback Reinforcement Learning
- Thread-Efficient Decoding for Neural Texture Compression
- There and Back Again: Bidirectional Diffusion Bridges for Multimodality Translation
- Beyond Pairwise Graphs in Science: Hypergraph Adaptive Wavelet Operators for Parametric PDEs
- What Do Interaction Representations Actually Measure? Pre-Event Separability in Weakly-Supervised Violence Detection
- HyQuant: Hybrid-Precision Quantization for LLM Attention
- Anchored Scenario Coverage for Failure-Aware First-Hit Batch Inverse Design
- From Perspective to Fisheye Depth Estimation and Open-Vocabulary Segmentation
- AI Writers Have a Consistent Stylometric Footprint, but AI Editors Do Not
- Is Prosody Lost in Translation? Fine-Grained Cross-Lingual Prosody Similarity Across Languages
- From Uncertainty to Clinical Risk: Severity-Aware Conformal Planning for Interactive Medical Diagnosis
- An Empirical Evaluation of Cross-City POI Recommendation on a Large-Scale Benchmark
- KLOD: Locality-Preserving Knowledge Editing via Non-Target Distribution Preservation
- Personalized and Multi-View Representation for Federated Cold-Start Recommendation
- Evidential-Based Higher-Order Set Argumentation Framework
- Actionable CBFI: Integrating Structural Decomposition and Causal Counterfactual Recourse for Tabular Machine Learning
- Auditing generative audio calls for known-task audio-llm evaluation
- PersonaEdit: Representative Sample Selection for Personalized Model Editing
- Representation of syntax in LLMs through the lens of linear distance and similarity-aware entropy
- CURA: Certified Runtime Alarms for Computer-Use Agents
- How Much Can AI Understand? Toward AI-Assisted Sensemaking of Collaborative Discussion in Groups with Shared History
- CEDAR: Automata as Verifiable Interfaces for Language-Guided Embodied Action
- uScenes: A Multimodal RGB and 3D Sonar Dataset for Underwater Robot Perception
- Node-wise Feature Encoding for Neural Performance Prediction
- Initialization Is Critical: Advancing Federated Short-Term Load Forecasting under Load Heterogeneity via Model Initialization