Papers
Tue 11 Aug 2026
478 papers
- Beyond Static Charts: Can Language and Vision Language Models Generate Interactive Data Visualization Interfaces?Multimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Toward User-Mediated Self-Repair in Ubiquitous Robots Through Goal-Oriented Agentic AILLM agents and tool use → General LLM agent frameworks and benchmarks
- Behaviorally Grounded User Profiles from the Wild for Personalized Alignment and Multi-Perspective ReasoningLLM reasoning → Reinforcement learning for reasoning +1
- Terminal-Bench-LILT: Multilingual Agentic Coding Benchmark Grounded in Language, Region, and CultureLLM agents and tool use → General LLM agent frameworks and benchmarks
- Social Graph Mamba: Forecasting Pedestrian Movements Based on Social ContextState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- TokenPowerSandbox: Evidence-Gated CPU-First Screening for Energy-Aware LLM ServingEfficient LLM inference and serving → Serving systems and request scheduling
- Beyond Pass@k: Measuring Reliability and Security of Agentic Code GenerationLLM agents and tool use → Software engineering coding agents
- Semantic Uncertainty-Guided Orchestration in Hierarchical Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Equilibrium Forcing: Adaptive Video Generation Without Noise ConditioningDiffusion models → Video generation
- Evaluating Agentic Learning Harness Capabilities Without Labels via the Scaling HypothesisLLM agents and tool use → Agent skill learning and evolution
- Language-Structured Relational Q-Learning for Threat-Aware Control in Safety-Critical DrivingDeep reinforcement learning methods → RL for autonomous driving and traffic
- From Prompting to Behavioral Alignment: Personalized LLM Judges for Recommendation EvaluationLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- Test-Time Hallucination Control in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- The Next Challenge for Agentic Cybersecurity: A Realistic, Contamination-Free Reverse Engineering BenchmarkLLM agents and tool use → Agent threats, guardrails and governance
- Principal Trait Analysis: Towards Deriving "Skills" in Human-AI CollaborationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Multi-Agent Target-Existence Verification and Learned Mask Geometry Refinement: Winning Report of the MeViS-Text Track at the 8th LSVOS Challenge 2026LLM agents and tool use → Multimodal and embodied agents
- Herding End-to-End Autonomous Driving via Neuro-Symbolic Safety GuardsEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- Benchmarking LLM Judges for Mobile Agent EvaluationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Social Chain of Thought: A Multi-Agent Architecture Grounded in Medical Differential Diagnosis MethodologyLLM reasoning → Clinical and biomedical applications +1
- TRACES: A Benchmark for Epistemic Reliability in Scientific Reasoning by LLMsLLM reasoning → Knowledge- and tool-augmented reasoning
- Unmasking Toxic Mimicry in Medical Offline Reinforcement Learning for ICU Sepsis Management via Counterfactual Clinical AuditsOffline RL and imitation learning from data → Safe offline RL
- Measure, Don't Optimize: Forecasting Recovery in LLM UnlearningLLM safety and security → Machine unlearning
- When Self-Consistency Backfires: Majority Vote Hurts the Majority of Hard Science Problems for Small LLMsLLM reasoning → Test-time compute and efficient thinking
- AI Guardrail Survival under Single-Cycle Agentic Self-SummarizationLLM agents and tool use → Agent threats, guardrails and governance +1
- The Devil Is in the Interface: Evaluating How Tool Architecture Shapes Coding Agent BehaviorLLM agents and tool use → Software engineering coding agents
- From Numbers to Judgment: Specialist LLM Agents and Reinforcement Learning for European Listed Real EstateLLM agents and tool use → Financial trading and forecasting agents
- PAIR: Pairwise-Aware Inclusion Reweighting for Adaptive Rollout Allocation in RLVRLLM reasoning → Reinforcement learning for reasoning
- Adaptation of Generalist Robot Policies with Minimal DataVision-language-action models → Reinforcement learning and post-training
- Self-Evolving Embodied Agents via Skill-Harness EvolutionLLM agents and tool use → Multimodal and embodied agents +1
- An Empirical Study of Output-to-Input Loops for Black-Box Backdoor Detection in Fine-Tuned Open-Weight LLMsLLM safety and security → Backdoor and data poisoning attacks
- Governing Agentic AI in FinTechLLM agents and tool use → Financial trading and forecasting agents
- Better, Faster, Stronger: Programmatic Skill Learning Best Reduces Agent CostLLM agents and tool use → Agent skill learning and evolution
- Qwen-MusicAVQA-7B: A Multimodal Model for Music Audio-Visual QAMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Contextual Quality-Diversity Evolutionary Reinforcement Learning for HVAC Control in Tropical Commercial BuildingsDeep reinforcement learning methods → RL for energy, networks and operations
- Backdoor Decontamination Dynamics in LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- Self-Evolving Code-with-Image ReasoningSynthetic data and self-improvement for LLMs → Self-improving MLLMs and synthetic data
- Agent Safety Should Be a Runtime ContractLLM agents and tool use → Agent threats, guardrails and governance
- AdvFD: Boosting Visual Generation via Adversarial Fr'echet Distance LossDiffusion models → Diffusion foundations and sampling
- Surgical WAM: A World-Action Model for Data-Efficient Surgical Robot LearningWorld models → Medical and surgical world models
- Beyond a Bag of Features: Set-Level Instability in Sparse AutoencodersMechanistic interpretability → SAE features and their applications
- Test-Time Self-Evolving GUI Visual Grounding via Reflection-Guided On-Policy Self-DistillationLLM agents and tool use → GUI and mobile agents +2
- VIScore: Diagnosing Planning-Relevant Quality in Latent World ModelsWorld models → Latent predictive world models
- MultiModal Code-Switching: Interleaving Visual Objects into Language for Explicit Object-Level AlignmentMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Agentic Configuration Management (ACM): A Reference Configuration Model for Governed Agentic SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- CausalSplat: Towards Comprehensive Hierarchical Reasoning in 3D Gaussian SplattingLLM reasoning → Spatial and embodied reasoning
- PRMU: A Corpus-Free Benchmark for Person-Centric Knowledge Unlearning in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- The Illusion of Cross-Lingual Safety in Low-Resource LanguagesLLM safety and security → Safety alignment, refusal and guardrails
- Why Does CLAUDE.md Keep Growing? Catastrophic Remembering in Agentic CodingLLM agents and tool use → Agent memory systems
- CapProbe: Evaluating Detailed Image Captions via Full-Scene Dense Question AnsweringMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Efficient Hypergradient Descent for Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning +1
- V-FiLLM: Verified Financial LLM Reasoning BenchmarkLLM reasoning → Reasoning for agents, planning and code
- Who Are You Explaining To? A Multi-Agent System for Audience-Aware XAI NarrativesLLM agents and tool use → Medical and scientific domain agents
- Self-Knowledge Retrieval Augmented Generation Framework for Patent MatchingRetrieval-augmented generation → RAG pipeline design and evaluation
- Data Attribution of Emergent Misalignment with Persona FeaturesMechanistic interpretability → Activation steering methods
- When Visual Signals Mislead: A Mechanistic Study of Attribute Hallucination in Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- ConRub-Med: Reinforcement Learning with Consensus Rubrics for Open-Ended Medical Question AnsweringDeep reinforcement learning methods → RL for clinical treatment and surgery
- Putting Registers to Work: Task Registers for Token Pruning in Vision TransformersEfficient LLM inference and serving → Token pruning and merging for ViTs
- What Iterated Self-Feeding Probes of Language Models Measure, and a test that separates the construction from the modelLLM reasoning → Test-time compute and efficient thinking +1
- PEAK: Precise and Persistent Concept Erasure via k-Sparse AutoencodersDiffusion models → Robustness, privacy and adversarial aspects +1
- XCoT-VLA: Executable Chain-of-Thought for Vision-Language-Action DrivingLLM reasoning → Chain-of-thought reasoning for driving +2
- CARE: Confidence-Aware Reasoning for Reliable Medical VQALLM reasoning → Clinical and biomedical applications +1
- Once Poisoned, Arbitrarily Controlled: A Programmable Backdoor in VLMsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Evidence-Grounded Trustworthy Multimodal Reasoning and Evaluation Benchmark in Complex Urban ScenesLLM reasoning → Multimodal reasoning +1
- StreamFlow: Dynamic Memory Flows for Streaming Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Mixture-of-Experts-based Entropy Model for Learned Image CompressionMixture-of-experts → MoE large language models
- Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic SystemsDiffusion models → Flow matching, time series and science
- Understanding the Architecture of Coding Agents: An Exploratory Study Using a Research PrototypeLLM agents and tool use → Software engineering coding agents
- SafeCA: Safe Cross-Attention Localization and Regulation for Text-to-Video Jailbreak DefenseLLM safety and security → Vision-language and text-to-image safety
- Temporally Grounded Compositional Camera Motion Understanding via Geometric Knowledge DistillationKnowledge distillation → Detection and dense prediction distillation
- ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time ScalingLLM reasoning → Test-time compute and efficient thinking +1
- FaithformBench: Benchmarking Faithfulness of Mathematical Chain-of-Thought AutoformalisationLLM reasoning → Mathematical reasoning
- ComBodied Agents: a New Paradigm of Human-Centric Agentic AILLM agents and tool use → General LLM agent frameworks and benchmarks
- Order Matters: LVLMs as Judges for Temporal Reasoning in Image SequencesLLM reasoning → Multimodal reasoning
- GitSkills: A Dataset of Agent Skills on GitHubLLM agents and tool use → Agent skill learning and evolution
- ReOrder-OPD:Reliability-Aware Prompt Ordering for On-Policy DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- VibeLifeBench: Can Your Life Agent Be Proactive and Persistent in a Living World?LLM agents and tool use → General LLM agent frameworks and benchmarks
- NullEdit: Stealthy Image Protection via VLM Condition RedirectionMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Multi-View Relational Distillation for Spatial Reasoning with Vision-Language ModelsLLM reasoning → Spatial and embodied reasoning +2
- Flex-π: A Multi-Stream World-Action Model with Compute FlexibilityWorld models → Video-generation world models and simulators
- UniProbe: A Learnable Token-Level Hallucination Detector for Large VLMs using Multi-Structural Internal RepresentationsLLM reasoning → Hallucination detection and mitigation +1
- MIRA: Medical Image Reflection for Agentic DiagnosisLLM agents and tool use → Medical and scientific domain agents
- Neural Introspection Gating for Adaptive KV-Cache Reuse in Vision-Language-Action ModelsVision-language-action models → Efficient VLA inference and adaptation +1
- MoE Proxy Models for Low-Cost Failure Reproduction and Diagnosis in LLM RL Post-TrainingMixture-of-experts → MoE in reinforcement learning and robotics
- E3mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise AlignmentMultimodal LLMs / vision-language models → Multimodal emotion understanding
- StageWAM: Joint-Embedding Stage Prediction for World-Action Models in Robot ManipulationWorld models → Embodied and robot world models +1
- SkillLens: Visual Skill Cards for Retrieval-Augmented GUI Action Prediction and On-Policy DistillationRetrieval-augmented generation → Agentic RAG, agents and memory +1
- Where To Look? : Causal Tracing of Vision Encoders in VLMMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Embodied Multimodal Grounding for Open-Vocabulary Mobile Manipulation via Semantic 3D Gaussian SplattingVision-language-action models → 3D and spatial-aware VLA
- Mitigating Context Interference for Reliable and Efficient Search AgentsLLM agents and tool use → Web, search, and research agents
- Rethinking LLM Verification: Evidence Structure, Uncertainty, and Selective RefinementLLM reasoning → Clinical and biomedical applications
- Grid-Preserving Knowledge Distillation: Transferring Convolutional Inductive Bias to Vision Transformers under Data ScarcityKnowledge distillation → General knowledge distillation methods
- DuplexWorld: Can voice agents help you get through the day?LLM agents and tool use → General LLM agent frameworks and benchmarks
- SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher FeaturesKnowledge distillation → Knowledge distillation for LLMs
- MMArt: A Multi-Perspective Multimodal Dataset for Visual Art UnderstandingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Optimize Cheap, Deploy Strong: Cost-Aware Cross-Tier Transfer for Evolutionary OptimizationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Self-Correcting Long-Horizon Search Agents via Tree-Structured MemoryLLM agents and tool use → Agent memory systems
- REDAgentBench: Executable Red Teaming and Faithful Measurement of LLM Agent SystemsLLM reasoning → Reasoning for agents, planning and code +2
- VERDICT: Training-Free Step-Wise Verification of Multimodal Reasoning via Disagreement-Aware ConsensusLLM reasoning → Test-time compute and efficient thinking +1
- ASCon: A Direction-Aware Reciprocal Agent--Step Contextualization Model for Failure Attribution in Multi-Agent SystemsLLM agents and tool use → Software engineering coding agents
- MedUP: Awakening Unified Understanding and Perception in Medical Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
All 478
- IADD-TR: Intervention-Aware Dynamics Decoupling with Targeted Regularization for Model-Based Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- InSight-doc: Agentic Visual Perception for Long-Document UnderstandingLLM agents and tool use → Multimodal and embodied agents
- ProbGuard: Calibrated Safety Risk Estimation from LLM Output DistributionsLLM safety and security → Safety alignment, refusal and guardrails
- Toward the Cognitive--Physical Limits of Embodied Intelligence through a World-Model-Centric Autonomous Racing AgentWorld models → World models for navigation
- Simplex Relaxation for Discrete DiffusionDiffusion models → Discrete and text diffusion
- Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-ExpertsMixture-of-experts → Efficient MoE training and inference systems
- Agentic Instruction Data Selection: Let DataMaster Interpret Your IntentLLM agents and tool use → Web, search, and research agents
- Reinforcement Learning-Based Laser Cutting Machine Parameter OptimizationDeep reinforcement learning methods → RL for energy, networks and operations
- ImpactHO: Importance-Aware KV Cache Transfer for Multi-User Edge LLM HandoverEfficient LLM inference and serving → KV cache optimization
- Flow Straight to Reality: Perceptually Consistent Flow Matching for Efficient Image RestorationDiffusion models → Inverse problems and image restoration
- Measuring Semantic Abstractness of SAE Features via NonlocalityLLM reasoning → Reasoning benchmarks and evaluation +2
- Benchmarking LLM-Guided Control-Plane Policies for Backend Fault Isolation in HAProxyLLM safety and security → Prompt injection and agent security
- On Understanding, Identifying, and Mitigating Vulnerabilities in Agentic Large Language ModelsLLM agents and tool use → Agent threats, guardrails and governance +1
- Dynamic Context Adapters: Efficiently Infusing History into Vision-and-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-trainingMultimodal LLMs / vision-language models → Medical vision-language models
- SafeCap: Improving LVLM Safety with Image Captioning Reinforcement LearningMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +3
- MAP-Graph: Provenance-Aware Shared Memory for Multi-Agent WorkflowsLLM agents and tool use → Agent threats, guardrails and governance
- MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom GraphLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- From Faulty Memories to Corrected Actions: Dependency-Guided Rollback Repair for Memory-Augmented AgentsLLM agents and tool use → Agent memory systems
- Exploration-Driven Personalized Federated Reinforcement Learning via Intrinsic MotivationDeep reinforcement learning methods → RL for energy, networks and operations
- GeoForge: Non-Parametric Self-Evolving Agents for Earth-Observation ReasoningLLM reasoning → Spatial and embodied reasoning +2
- INSIDE the Student's Mind: Jointly Modeling Latent Reasoning and Action in LLM Student SimulatorsLLM reasoning → Reasoning benchmarks and evaluation
- When Vision Becomes Text: Visual Token Pruning via Cross-Modal Residual Guidance in VLMsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Lost in Reconstruction: Aligning Action Representations with Language in Vision-Language-Action ModelsVision-language-action models → Efficient VLA inference and adaptation
- Bridging Event Streams and DiT: Event-Guided Video Frame InterpolationDiffusion models → Video generation
- Critic-Free Pretraining for Efficient Online Reinforcement Learning Fine-TuningOffline RL and imitation learning from data → Offline RL algorithms +1
- Persistent Recursive Worlds Enable Autonomous Software EvolutionLLM agents and tool use → Software engineering coding agents
- PBD-AG: Persistent Baseline-Delta Active Graphs with Uncertainty-Aware Inspection for Long-Horizon Service RobotsWorld models → Embodied and robot world models
- Towards Efficient Reasoning in LLM-Based Recommender Systems via Model MergingLLM reasoning → LLM reasoning for recommendation
- From Reasoning Depth to Reasoning Breadth: Evaluating Multi-Point Associative Reasoning in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Detecting an Effect Is Not Learning to Act on It: A Reward-SNR Floor for LLM Acquisition AgentsLLM reasoning → Reinforcement learning for reasoning +1
- Stream Forcing: Constructing Unified Training Trajectory for Robust Streaming Video GenerationWorld models → Video-generation world models and simulators +1
- Continuous Interaction Diffusion: A Diffusion-Native Runtime for Asynchronous Tool-Augmented ReasoningLLM reasoning → Diffusion reasoning and test-time scaling +1
- MammoMix: Leveraging Mixture of Experts for Robust Mammogram Breast DetectionMixture-of-experts → Medical and biomedical MoE
- Actionable Hallucination Detection: Translating Latent Uncertainty into Agentic CritiqueLLM agents and tool use → Medical and scientific domain agents
- Recovering Wasted Compute in Autoresearch AgentsLLM agents and tool use → Web, search, and research agents
- DriveVLA-M0: Failure-Aware Memory Augmentation for Autonomous DrivingVision-language-action models → VLA for autonomous driving +1
- VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback?Multimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Threat-guided Policy-aware Scene Perturbation for Safe Autonomous Driving with Online Reinforcement LearningEnd-to-end autonomous driving → Reinforcement learning for driving +1
- TideRL: Boosting Agentic RL Goodput with Readiness-Aware SchedulingLLM agents and tool use → Reinforcement learning for LLM agents
- Hidden in Plain Sight: Diffusion-Based Unrestricted Robotic Attacks on Vision-Language-Action ModelsVision-language-action models → Safety and adversarial attacks
- Share First, Route What Remains: A Unified Framework for Token-Adaptive MoE ComputationMixture-of-experts → Expert routing strategies
- Dreamer-SAC: Off-Policy Learning in Latent World Models for Sample-Efficient Autonomous DrivingWorld models → World models for autonomous driving +2
- MemSpec: Memory-Aware Runtime for Adaptive Draft Scheduling in Speculative Decoding on Edge DevicesEfficient LLM inference and serving → Speculative decoding
- Efficient Reinforcement Learning for Long-Horizon Tool-Use Agentic TasksLLM agents and tool use → Reinforcement learning for LLM agents
- MERA: Model Evolution and Routing with Skill Adaptation for Agentic Systems at ScaleLLM agents and tool use → Agent skill learning and evolution
- Hierarchical Compositionality for An Assistive AI AgentLLM agents and tool use → General LLM agent frameworks and benchmarks
- TTS-Q: Perception-Guided Post-Training Quantization of Text-to-Speech Diffusion Transformers
- Soft Curriculum Learning for Optimizing Fresh and Generalized Recommendations
- Distribution of hitting times for dissipative random dynamical systems on ℝd, with application to stochastic gradient descent
- A Semantic Approach to the Academic Publishing Network: Document Vector Representations and Hybrid Structural-Semantic Fusion over OpenAlex Data
- MSA-CITE: A Co-Adapted LoRA Specialist Ecology for Fixed-Budget Small-Model Inference
- Beyond Imitation: Auditing the Recoverability of Reasoning in Distilled Models
- Bridging the Data Gap: Digital Twin as a New Paradigm for AI-based Radio Sensing
- Improved Multiplayer Bandit Algorithm for Bernoulli Rewards
- When Unpaired Sets Support Shared-Corruption Calibration: Moment Geometry and Two-Sample Precision
- RCShift: Certifying When Partial Linkage Suffices for Finite-Sample Decisions
- LLaVA-Assessor: Building the Foundation LMM For Visual Quality Assessment
- TREND-10K: A Comprehensive Dataset for Next-Generation Video Quality Assessment Based on Preference-Driven Media
- Magnitude Profile Pruning: Calibration-Free Structured Attention Head Removal for Transformer Compression
- TRACE: Transparent Retrieval for Abstract Concept Evaluation
- Activation-Energy Pruning for Spiking Neural Networks: Unsupervised Personalization via Spike-Count Saliency
- AI-inferred expressed well-being and collective-action discourse in climate-change campaigns on X
- Evaluating LLM-Generated Rules for Heart Disease Prediction
- Early Prediction of Satellite Collision Probability Using a Hybrid TCN-Transformer Model for a CDM-Based Conjunction Analysis Framework
- Personalized and Explainable Blood Pressure Estimation from PPG via Hybrid CNN--Morphological Features
- On-Device Language Models for Privacy-Preserving Stress Prediction: A Multimodal Evaluation on Mobile Health
- PromptKWS: A Novel Prompt-Guided Open-Vocabulary Keyword Spotting Framework
- Reward-Oracle MCTS for Formal Theorem Proving: Sample-Efficient Search and the Need for Kernel-Level Proof Auditing
- Semantic Graph Unification for Industrial Digital Threads: Bridging 11 Heterogeneous Manufacturing Systems Through Ontology-Driven Knowledge Graphs
- The Abstention Protocol: RCA for Clos Fabrics
- Spiking Local Interaction and Adaptive Complementary Fusion for Spiking Transformer
- Flux-form spatiotemporal neural operators for coarse-grained dynamics of multiscale PDEs
- SPSA Hyperparameter Tuning for Variational Quantum Natural Language Inference
- Exploring new directions in enhancing the ACTS parameter optimization suite
- SpotlessGS: Relightable 3D Gaussian Splatting under Dynamic Illumination for Robotic Perception
- Which Question Is Your Attention Metric Answering? Attention Rows as Compositional Data
- Path2ST: Hierarchical Cell-Tissue Grounded Cross-Modal Translation for Spatial Transcriptomics
- Hardware-in-the-Loop Phase-Aware CNN for Real-Time 5G Channel Estimation
- PE-CSNet: An equivariant network architecture with learnable patch-based sparse representation
- No Universal Signal Predicts Sample-Level LLM Regression under Version Updates
- MobileMem: Learning from a Year of Mobile Experiences
- Active Perception for Embodied Disambiguation
- Cross-Disciplinary Taxonomy and Modeling of Misunderstanding Generation, Amplification, and Detection, from Pragmatics to AI Agents
- Evaluation Resolution Confounds Learning-Rule Comparisons in Model-Brain RSA of Early Visual Cortex
- Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation
- Let it Cook: Learning to Wait in Sequential Decision Making
- Conflict and Congruency Effects in Large Language Models: In-Weight and In-Context Competition in a Verbal Conflict Task
- RelShap: Relationally Consistent Shapley Explanations
- Predictive Allostatic Organization in Recurrent and Spiking Agents Under Partial Observability
- Strengthening Full Justified Representation: Efficient Verification and Computation
- HyperFix: Combinatorial Nonlinear Correction for Task Vector Merging
- Defending against Model Extraction for GNNs with Model Reprogramming
- Cross-Corpus Evaluation of Generalizable Vulnerability Detection in IoT Firmware
- Stability of Finite-Batch Particle Mean-Field Variational Inference Beyond Strong Convexity
- A Modular Agentic Framework for Synthetically Constrained Multi-Objective Hit-to-Lead Optimization
- Forward Trajectory Steering for Hamilton-Jacobi Reachability Analysis
- Convergence Guarantees of Gradient Descent for Neural Networks via Generalized Lipschitz Smoothness
- Probing and steering biology across Boltz-1s trunk-diffusion boundary
- Dual-Primal Graph VAEs for Noisy Label Aggregation
- Gaussian Meta-Space Augmentation for Stacking Ensembles in Multimodal IPMN Risk Stratification
- PAC-Bayes Beyond Parameter Space: Behavioral Equivalence, Z-Information, and Exact Complexity Decomposition
- TangPoetryBench: A Multi-Dimensional Benchmark and Rubric-Conditioned Evaluator for Poetry-to-Image Generation
- XGBoost "is all you need": the case of forecasting transmitted heat energy in District Heating Systems
- Large-scale AI-Ready Data for Anti-Cancer Drug Response Modeling
- DonorRank: Donor Language Selection for Low-Resource Cross-Lingual Speech Recognition
- Variational Parameter Calibration with Physics-Aware Latent-Space Surrogates
- Stigma and Support in Online Sexual Violence Narratives on Reddit
- AutoGrable: What Is a Good Graph for a Table?
- Three Tokens Force Exponential Feature Rank in Nonnegative Kernel Attention
- Is Convergence Inevitable? Tracing Output Homogeneity Back to Base Models
- VLMs Win a Systematic Evaluation of Underwater Image Reconstruction
- Click2Poly: A VLM for vector mapping buildings and walls
- Analysis of Federated Aggregation under Model Poisoning and Backdoor Attacks: A Reconstructed Cross-Dataset and Cross-Architecture Benchmark
- COGENT: Counterfactual Gaussian Explanations for Volumetric Medical Images
- Diffusion-Based Data-Driven Assortment Optimization
- Generative Learning for Quantum Measurement Design
- Mechanism Design for Generative Engines: From Exploitation toward Win-Win Outcomes
- Reoptimization Algorithms for Contextual Bandits with Knapsack Constraints
- Towards an approach to multivariate outlier detection for District Heating System data
- Gaze Target Estimation Anywhere with Concepts
- RevCRN: Reversible Analog Computation using Chemical Reaction Networks
- Lifecycle-Optimal Tokenization: Vocabulary Size as a Deployment-Regime-Dependent Infrastructure Parameter
- Market-Information-Aware Gated-LoRA of Foundation Models for Transferable Day-Ahead Electricity Price Forecasting
- Inverse Theory of Mind Modeling for Content Recommendation: From Web Browsing to Dynamic Intelligent Interfaces
- ODE-Based Transformer Decoders for Iterative Sign Language Translation
- Dynamics Models for Offline Hyperparameter Selection in Real-World RL
- Can Frontier LLMs Match Natively Multimodal Embeddings? A Comparison on Hard-Negative Text-to-Image Retrieval
- Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport
- Apodex Discovery: Reality Benchmarks and Environments for Evaluating and Building Discoverative Artificial Intelligence
- Self-evolving network verifiers
- Dual-Domain Cross-Modal Decoding for Clinical Text-Guided Medical Image Segmentation
- Gloss-Free Representation Learning for Cross-Dataset Sign Spotting
- Long-Horizon Forecasting of Complete Financial Statements with Forma
- Deployment Decision Reliability: A Generalizability-Theory Framework for Sizing Long-Horizon Agent Evaluations
- Socioduality: A Relational Process Framework for Human-AI Interaction
- Spectral graph clustering with inhomogeneous latent geometry
- Terminal Symmetry as a Carrier of Asymmetric Process Knowledge: Statewise Refinement for Anytime Verified Construction
- Clinical Feasibility of Low-Magnification Fluorescence Imaging for Breast Cancer Margin Detection Using Texture Analysis and Deep Learning
- Dueling Deep Q-Learning for Intrusion Detection
- Uncertainty-Aware Compositional Localization and Placement Assessment of Catheters and Tubes in Chest X-Rays
- CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification
- Benchmarking Cyberattack Detection in Electric Vehicle Charging Infrastructure with Benign User Updates
- SegPAR: Class-Centric Decision-Based Sparse Attack for Semantic Segmentation
- Chemically Meaningful Textualization Enables Explainable Validation of Metal-Organic Frameworks by Large Language Models
- Physics-Informed Implicit Neural Representations for Improved Myocardial Perfusion MRI Quantification
- Federated Learning for Distributed CNC Tool Wear Prediction
- Uncertainty-Aware and Explainable Ensemble Deep Learning Framework for Multi-Class Skin Lesion Classification
- Basin: Efficient and Extensible Numerical Optimization in Rust
- Every pooling rule has its world: matching probability combination rules to situations and stakes
- Geometry-Based Compression of Plenoptic Point Clouds
- A Geodesic Cut-Cell Prior for Neural Skinning
- Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA
- CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data
- Capturing Uncertainty in Human Motion for Representation Learning in Soccer
- VidForensics-M1: Meta-Detection Reinforcement Learning with Verifiable Temporal Grounding for AI-Generated Video Forensics
- ConVAWG: A Retrieval-Grounded Framework for Controlled Synthetic Dialogue Generation in Violence Against Women and Girls
- Long-Horizon AI Research for Grothendieck Constant: A Case Study in Human-AI Mathematical Collaboration
- How to Verify Probabilistic Consistency of Predictive Models
- A Quantum Roadmap for Softmax Attention: Exact Born-Rule Analogs for Softmax Attention on the Probability Simplex
- From Interpretability to Control: Insights from Six Years of the TrustNLP Workshop
- Hierarchical Empirical-Bayes Naive Bayes: Minimax Smoothing and Calibration with AODE Extension
- Conditional Independence Tests for Constraint-Based Causal Discovery: A Survey
- DACRI: Decision-Aware Causal Intervention Ranking for Critical Supply Chains
- Scheduling Mixed RL Rollouts Beyond Prefix Locality
- A Recommendation System Approach for Interference-Robust Sensor Subset Selection
- SAR2Agri: Learning SAR Intensity Representations for Agricultural Monitoring
- Goodness-of-Fit Tests and Calibration Machine-Learning Algorithms for Logistic Regression with Sparse Data
- Attention-Path Fragility as an Uncertainty Signal in Large Language Models
- sLTN: Structural Logic Tensor Networks
- Is There Really a Camouflaged Object? Towards Realistic Camouflaged Object Detection
- Posterior contraction rates in Sobolev norms and Bayesian derivative estimation for infinite-dimensional exponential families
- AlbumentationsX: One Augmentation Pipeline for Images and Related Annotations
- Two-stage Odd Residual Flows for Mean-Preserving Probabilistic Time Series Forecasting
- Actions Speak Louder than Words: Measuring Cross-Lingual Policy Retention in Tool-Using Agents
- Every Packet Counts: Dispersing Information for Loss-Resilient Learned Image Compression
- Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives
- A Systematic Sample Size Analysis of ML-Based Path Loss Prediction for LPWAN
- RTSKG: Building a Rail Transit Station Knowledge Graph Dataset
- SkillZip: Evaluation-Free Skill Compression for Self-Evolving Agents by Discovering Reusable Structure
- Learning Gaussian Structure: Intervention-Guided Density Control for Feed-Forward Driving Reconstruction
- Foundation Model-Enabled Efficient Data Sampling (FEEDS): A label-efficient training strategy for pan-cancer, multi-tracer PET/CT datasets
- Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues
- Quantum Coordination Advantages in AI State-Tracking Tasks: Semantic Compilation and Latent Memory
- Entropy-Centric Explainable AI for Remote Sensing Image Segmentation
- Batch Size or Negatives? A Selection Rule for Memory-Constrained Recommender Training
- Uncertainty-Aware Deep Learning for Genomics Applications: Insights from an Empirical Study
- A Comparative Evaluation of Deep Learning Object Detection Models on a Real-World Multi-Plant Dataset from Africa
- HUI360: A 360deg Egocentric Dataset and Baselines for Human-Robot Interaction Anticipation
- 3D Weighted Geometric Graph Neural Networks for Sheep Facial Pain Assessment
- Multiclass Sentiment Analysis for Identifying Political Viewpoints
- ReRound: Reconstructive Rounding to Resolve Midpoint Ambiguity in Calibration-Free LLM Quantization
- TEAMMix: Taxonomy Enrichment Augmentation and Minority-augmented Mixing Strategy for LLM-enhanced Weak-Supervised Hierarchical Text Classification
- Multi-Level Evidence Aggregation for Robust Facial Phenotype Retrieval in Rare Genetic Disorder Prioritization
- myMediWhisper: Construction of Burmese Medical Speech Corpus and Whisper Fine-Tuning for Clinical Dialogue ASR
- SCOUT: Symmetric Consensus Outlier Detection for Failure Localization in LLM Pre-Training
- Mapping and Measuring the Behavioral Evolution of Large Language Models
- Workflow Cards: Structured Summaries of Workflow Executions Using Provenance Data
- Derivative Computation in PINNs: Automatic Differentiation, Finite Differences and Beyond
- DEFT: Data-Efficient Frequency-domain Top-k Sampling via Inverse Discrete Fourier Transform for Spatiotemporal Dynamical Systems Modeling
- R4DSG: Relative 4D Scene Graph Memory for Object-Centric Question Answering in Long Egocentric Video
- Gromov-Wasserstein Quantization and Clustering: Structure, Rates, and Algorithms
- Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning
- Templated or fully synthetic? Prompt construction as a confound in measuring LLM political stance beyond writing assistance
- Policy Convergence and Divergence Across National and Within Regional AI Strategies: A Policy Design Element Analysis
- Information Bottleneck under Perfect Privacy
- On the Limitations of Cross-Lingual Consistency in Multilingual Text-to-image Generation
- HNDiff: Haze-Noise Diffusion for Image Dehazing
- TimeRoute: Time-Aware Modality Routing and Diffusion for Multi-Modal Recommendation
- ThinkAfford: Affordance-Centric Reasoning for Fine-Grained 3D Grounding in Cluttered Scenes
- A Dataset and Benchmark for Optical Music Recognition of String Quartet Scores
- MUSE: A Full-Text Cross-Domain Knowledge Base of Scientific Problems, Solutions, and Rationales
- ReLTEx: Reliable LLM-based Taxonomy Expansion
- GARLIC: Graph Attention-based Relational Learning of Multivariate Time Series in Intensive Care
- REAP: Relation-Aware Elicitation and Parsing for Closed-Book Knowledge Base Construction from LLMs
- Multiple Scale Latents for Learned Image Compression
- A Cost-Efficient Routing Pipeline for Multilingual Short-Text Classification Using Small Language Models
- GS-CPE: Unified 6-Degree-of-Freedom Camera Pose Estimation via 3D Gaussian Splatting
- Threshold Structure of Optimal Policies in Restart POMDPs
- FedCGR: Federated Cross-Domain Generative Recommendation
- IO Factory: Simulating AI-Enabled Influence Campaigns at Scale
- VIDS-Seg: Towards Reliable Uncertainty Quantification in Pediatric Cardiac Ultrasound Segmentation
- Partially Observable Learning for Multi-Platform Dispatch Optimization
- Self-Normalized Inference for Constant-Stepsize Temporal-Difference Learning under Markovian Sampling
- Certify or Refuse: A Cross-Model Map for Selective Risk Control with Coverage Floors under Covariate Shift
- Benchmarking Time Series Generation Methods for Privacy-Preserving Forecasting
- Sensor-Informed Per-Point Covariance for Structured-Light 3D Imaging
- GESTO: Human-Centric Spatio-Temporal Memory for Reasoning in Dynamic Scenes
- ConfTriage: A Calibration-Aware LLM Triage Framework for Pulmonary Nodule Malignancy with Selective Specialist Deferral
- Enhanced Filtering Algorithms for the Euclidean Traveling Salesperson Problem and its variants in Constraint Logic Programming
- X2-Turn: Frame-Synchronous Dual-Head Modeling for Joint Streaming ASR and Turn State Prediction
- Optimistic Rates for Multiclass PAC Learning
- Can Bayesian Optimization Efficiently Find a Strong Single Expert in Neural Thickets?
- FiGuRO: Intrinsic Dimension Estimation for Multi-Modal Data
- Diffract: Spectral View of LLM Domain Adaptation
- Spectral Embeddings of Degree-α Laplacians in Random Dot Product Graphs
- Hypothesis Frontier: Verifier Guided LLM and Symbolic Search for First-Order Induction
- The GENEA Challenge 2026: A Large-Scale Disentangled Evaluation of Speech-Driven Gesture Generation on the Seamless Interaction Dataset
- PolyLayout: Hierarchical VLM-Guided Layout Generation Beyond Rectangular Rooms
- TACTICL: Task-Aware Compression of Tabular ICL Models
- Whisper-Aware LLM: Self-Supervised Uncertainty Learning for Robust Whispered Speech Recognition
- Reference-Free Post-Training of Open Large Language Models for Multilingual Machine Translation
- Surfacing the Unsaid: CUE-Bench for Affective Stance in Chinese Discourse
- Modelling Geographic Atrophy Progression using Implicit Neural Representations
- Assessing Reliability of BERT-Based Models on Question Answering Tasks
- Fast and Memory-Efficient Wavelet Convolutions via I/O-Aware Reformulation
- BPG: Balancing Plasticity and Generalization for Domain Incremental Learning
- Evaluating Semantic and Spatial Guidance for Foundation Model Segmentation of Small-Scale PV in Remote Sensing Imagery
- Beyond Fixed Luminance: Towards Panchromatic and Orthochromatic Image Colorization
- EvoMem: Memory-Augmented Evolution for Code Optimization
- ChemWorld: Programmable Chemical Worlds for Controlled and Replayable Agent Experimentation
- MVTrack: Ultrafast Appearance-Free Moving Object Tracking from Compressed Bitstreams
- Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control
- The GenAI Catch-22: Use of Generative Artificial Intelligence in Norwegian Newsrooms During the 2025 Parliamentary Election
- Rule of Thumb: Explaining Artificial Intelligence Systems using Partial Information
- Compositional Benchmark Synthesis for Hierarchical Human Action Recognition
- FADE: From Passive Verification to Active Discovery in Counterfactual Video Understanding
- A Gateway Architecture for Enterprise MCP Authentication: Unifying Heterogeneous Auth, Identity Delegation, and the User / Non-User Persona Problem
- Beyond Pixels: From Video Priors to 4D Worlds
- Tree-of-Ideas: Automated Research Ideation via Cross-Trajectory Reasoning over Scholarly Evolution
- Long-Time Trajectory Approximation via SA-NODEs: Model Predictive and Floquet Strategies
- When Is a General Factor Distinguishable? Non-Proportionality, Stable Structure, and the Bifactor Decision
- Smart Enough to Go Extinct? An Evolutionary Challenge to the Value of General Intelligence and Its Ethical Implications for AGI
- Optimal Stopping of Self-Refining Foundation Models
- InterPruner: Interactive Structured Pruning via Taylor-Implicit Criterion and Language-Prior Modulator for Multimodal Object Detection
- Ex-Omni-2D: Expressive Omni-Modal Dialogue Models with Native Visual Presence
- Most biomedical publications show signs of LLM-assisted writing
- Conversational Orchestration for Organic 6G
- Compact Feed-Forward 3D Gaussians via Saliency-Guided Primitive Merging
- Self-Geometry: GT-Free and Plug-and-Play Test-Time Adaptation for Geometrically Consistent 3D Vision Foundation Models
- Your LLM, Your Style: Behavioral Mode Axes for LLM Behavioral Control
- ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes
- EVIL-Detect for NLPCC 2026 Shared Task 6: LLM-Generated Text Detection
- SPIEval: Evaluating Large Language Models as Mobile Assistants over Scattered Personal Information
- Can Released LLM Vocabularies Support Token-Level Estimation of Hidden Corpora?
- The Signal Rail: A Deterministic Motion Grammar for Communicating Conversational Agent State in Terminal Interfaces
- Leveraging Human Reading Behavior for Keyphrase Extraction: A Webcam-based Eye-tracking Corpus
- Embedding Rotation Invariance for Provable Multi-Oriented Scene Text Recognition
- Visual Geometry Foundation-Aware Gaussians for Single-Frame Surround-View Driving Reconstruction
- Bridging Severe Cross-Modal Misalignment: End-to-End Visible-Infrared Object Detection via Explicit Feature-Domain Affine Registration
- ENTLORE: A Graph-Grounded Benchmark for Latent Organizational Reasoning in Enterprise Question Answering
- Auditing Chinese Web-scale Corpora via Sampled BPE Token Statistics
- Chartography: A Benchmark for Professional Chart Understanding
- Longitudinal Evidence That General-Purpose Chatbots Actively Foster Relational Engagement
- Seeds Before Objectives: Rethinking Evaluation for Low-Resource Garhwali ASR
- FITTER: Vocabulary-Agnostic Cross-Domain Inference on Temporal Knowledge Graphs
- Operationalising Relative Causal Knowledge: Backbone Identifiability from Private Reports on a Shared Outcome
- Cross-View Sequential Visual Localization with Spatio-Temporal Context Modeling for Autonomous Driving
- Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets
- Decision-Aware Approximation of Belief Functions for Evidential Combinatorial Optimization
- PolypVision: A Three-Stage Hierarchical Deep Learning Framework for Classification and Segmentation of Colorectal Polyps
- Precise Top-Layer Fabric Segmentation for Fabric Destacking with Edge- and Shape-Aware Deep Networks
- Curate Before You Connect: Identity and Ontology Tagging in a Production Knowledge Graph
- DistilVDR: A Compact End-to-End Visual Document Retriever via Dual-Student Distillation
- Decomposition-Induced Context-Memory Conflict: When Fact-Checking Pipelines Contradict Their Own Source Text
- Dual-Loop Self-Evolution via Verifiable Emotion Feedback for Multi-Turn Empathetic Dialogue
- Pair-Centric Graph Rewiring for Over-Squashing via Optimal Transport-Guided Communication Alignment
- ASR-Roundtrip Evaluation Can Mask Context- and Convention-Dependent Reading Errors in Chinese News TTS
- Gaussian Sculpting: End-to-End Controllable Surface Reconstruction via Field Optimization
- Inferential Capability Does Not Determine Legal Scope
- BooST: Bridging Semantics and Motions for Efficient Skill Transfer
- β-VAEs as Effective Theories: Tolerance-Dependent Dimension
- DegradeQuery: Counterfactual Tuple Pretraining for Context-Aware PROTAC Degradation Prediction
- Rethinking Data Efficiency in Industrial Dense Prediction: Pretraining Coherence, Not Inductive Bias, Determines ViTs Low-Data Advantage
- π-SUB: A Physics-Informed Synthetic Underwater Benchmark Dataset for Underwater Image Enhancement
- A HamNoSys-Guided Dataset and Baselines for Fine-Grained Isolated Handshape Recognition in Sign Language
- BREAD: Baseline-Referenced Explanations for Anomaly Diagnosis
- HexEval: An Evidence-Driven Hexagonal Framework for Multidimensional Scholar Assessment
- DashArena: Benchmarking LLMs on Interactive Analytic Dashboard Generation
- Iterative Erasure Count Is Not an Affine-Invariant Concept Dimension
- MARCO: Click-Intent Decomposition for Calibrated Ads Conversion Prediction
- Retrieval-Corrected Conformal Prediction for Time Series
- SKILLER: Language-Level Reinforcement Learning for Reusable Skill Extraction in Small Language Models
- Robust Multi-Agent Bandits with Heavy-Tailed Rewards and Information Asymmetry
- When Do Anchor-Based Pointwise LLM Rerankers Help? Retriever Quality, Statistical Scope, and Anchor Design
- Coordinating the Unknown Lipschitz Constant in Multiplayer Bandits
- Rethinking Text-Based Image Retrieval in Specific Domain
- Improving TensorSketch Using Complex Random Variables
- SparSTAR: Sparse Attention for SpaceTime AutoRegressive Video Synthesis
- Link-adaptive digital twin for robust physical-layer modeling in hybrid-amplified ultra-wideband optical networks
- Towards Color-Faithful Low-Light Image Enhancement via Adaptive Color Debiasing and Saturation Rectification
- CARB: A Characterization-Guided Framework for CNN Inference Cost Prediction and Deployment Screening
- RadFusion: Towards Threshold-Controllable Radiology Report Generation
- Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases
- DSAR: Dual-Stream Autoregressive Modeling of Temporal Cloth Dynamics for Photorealistic Animatable Avatars
- SapiensID 2.0: Aligning Human Recognition Foundation Models with Human Perception
- Tensor-normal maximum likelihood estimation at the operator-norm sample threshold
- Predicting Space Groups of Double Perovskites by LLM with Dynamic Few-Shot Learning
- Multi-Granular Rationale-Guided Molecular LLM for Property Prediction
- Evaluating Rational Contracting in Natural Language
- Stay or Stray - A Dynamical Systems Viewpoint of Popularity Bias
- RLMOpt: Adaptive Prompt Optimization via Recursive Language Models
- A Joint-Distribution Route to Fair Representations with Continuous Sensitive Attributes
- Quantum Incremental Learning with Mixed State Prototypes
- Calibrating Post-Training Feature Shifts for LLM Data Contamination Detection
- MD-ProTector: Positioning Multiple Data-Driven Prototypes for LLM-Generated Text Detection
- Rationale-Guided Learning for Multimodal Emotion Recognition
- FUSE: Frame-Unified Stress Estimation from Facial Video
- DynaPPI: A Large-scale Dynamic Protein Dataset for AI-driven Advances in Protein Interactomics
- Conversational versus Dashboard Explainable AI for UAV Intrusion Detection: An Empirical Study of Operator Trust and Reliance
- When Does Forecasting Reveal Temporal Structure? A Stability Analysis of Time-Series Structural Selection
- What We Know about Responsible AI Practices in Industry: A Half Decade of Empirical Research
- Lesion-Aware Adaptive Fourier Neural Operator for CT-to-PSMA PET Synthesis in Prostate Cancer
- Causality Sum Rules in Conventional Scattering Matrices
- GeoSeg-OV: Bridging Geospatial Gaps with Structural Guidance for Open-Vocabulary Remote Sensing Segmentation
- Reasoning Shortcuts and Value Symmetries: What Symmetry Permits, Architecture Realizes, and Optimization Selects
- A lower bound for stepsize-based acceleration of gradient descent
- Riemann GeoResolver: A Non-Euclidean Attention Framework from Euclidean Resolver to Hyperbolic-Spherical Geometry
- How Robust Are LLMs to Vietnamese Dialects?
- A second-order theory of texture for depth from focus
- Post-Calibration Reliability Reranking of Relevance Decisions via Label-wise Monotone Projection
- Never Stop Speaking: a Denial-of-Service Attack on End-to-End Speech Language Models
- Automatic Field-of-View Adjustment for a View-Expansive Microscope via LSTM-Based Gaze and Pipette Motion Interpretation
- Do Judges Behave Like Algorithms?
- ELVAE: Evidential Learning-Based Variational Autoencoder for Uncertainty-Aware Generation
- FormStruct-Bench:A Hierarchical and Diagnostic Benchmark for Table-Form Document Structure Recognition
- Improved cross-validated distances for multivariate pattern analysis
- Efficient Weak-Entropy PINN for Solving Hyperbolic Conservation Laws
- Persona Conditioning as an Assessor-Sensitivity Probe for LLM-Based IR Evaluation
- Generator-Guided Inverse Sampling for L'evy-Driven Generative Models
- A Single Atom in Front of a Mirror is a Universal Reservoir Computer
- Beyond Forecasting: Recasting Volatility Control as a Routing Problem
- Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry
- Invertible Logits Transformation for Accuracy-Preserving Post-Hoc Uncertainty Calibration
- DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?
- Nutrition Data Infrastructure for the AI Era: Operationalizing FAIR for Agent-Mediated Research
- MazzikaAI: A knowledge-based performance-to-prompt compiler for real-time Arabic maqam accompaniment with a streaming text-to-music model
- VoxSumm: A Multilingual Corpus of Long-Form Spoken News for Joint Summarization and Translation
- Accelerated Learning of High Dimensional Functions with a Tensor-Featured Training Network
- Beyond Detection Accuracy: Measuring Explanation Cost, Stability, and Utility for Resource-Aware IoT Intrusion Detection
- Towards Unified Dynamic Face Landmark Detection
- CasDeblurGS: Cascaded 2D-to-3D Multi-View Consistency for 3D Gaussian Splatting from Two Blurry Images
- On the Importance of Geometric Nonlinearity and Temperature-Dependent Properties in Multi-Material Thermo-Mechanical Topology Optimization
- Efficient Noise Context-Aware Representation for Low-Dose CT Denoising
- Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement
- Narrative Keyframing for Generative Creative Writing
- Topological Feasibility Guarantees for Differentiable Predictive Control
- Who Gets Heeded? An Obligation-Level Audit of Responsiveness in EPA Rulemaking