Papers
Mon 14 Sep 2026
490 papers
- Temporal-Attention Head Specialization During Video Diffusion TrainingDiffusion models → Video generation
- Long-Tail Adaptive Flow Matching with Explicit Conditional Consistency Guidance for Precise Multimodal Face SynthesisDiffusion models → Image generation, text-to-image and editing
- Authority-Preserving Evaluation of Medical Vision-Language AssistantsMultimodal LLMs / vision-language models → Medical vision-language models
- Validating, Not Sampling: Region-Level Robustness of Vision-Language and Vision-Language-Action ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- Interpreting and Steering LLM Agents for Social SimulationsLLM agents and tool use → Social simulation and multi-agent debate +1
- Reasoning with Image GenerationLLM reasoning → Multimodal reasoning +1
- Register Tokens for Bounded-State Reasoning in Diffusion Language ModelsLLM reasoning → Diffusion reasoning and test-time scaling +1
- Fast-Convergent Meta-RL via Gradient-Clustered BS Sampling for Edge CachingDeep reinforcement learning methods → RL for energy, networks and operations
- StalePO: Anchored Token-Level Preference Optimization using Legacy Post-Edits in Machine TranslationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- ManiSkillFormer: Demonstration-Free Compositional Manipulation via Geometric Contracts and Agentic Skill GraphLLM agents and tool use → Multimodal and embodied agents
- Cognitive Admission Control: Risk-Conditioned Assurance for Consequential Actions in Agentic Distributed SystemsLLM agents and tool use → Agent threats, guardrails and governance
- Agentic Search Spaces for Tabular Machine LearningLLM agents and tool use → General LLM agent frameworks and benchmarks
- BLINDSPOT: A Benchmark for Safety and Refusal Calibration in Long-Horizon Tool-Using AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- Assurance Envelopes for Autonomous Coding Agents: Minimum-Cost Evidence for Software ChangeLLM agents and tool use → Software engineering coding agents
- Policy Gradient over History-Dependent Policy Classes for LQR with Domain RandomizationDeep reinforcement learning methods → RL for games and combinatorial optimization
- AgentGuard: Learning Execution Guardrails from Anomalous Coding-Agent TrajectoriesLLM agents and tool use → Software engineering coding agents +1
- Cheap Talk Stabilizes Strategic Interaction in LLM AgentsLLM agents and tool use → Social simulation and multi-agent debate
- Spurious Tool Use: When RL Agents Learn the Wrong Reason to ActLLM reasoning → Reasoning for agents, planning and code +1
- Towards Surrogate Based Dequantization of Quantum Reinforcement LearningDeep reinforcement learning methods → Quantum reinforcement learning
- Efficient Reasoning Distillation: Small Video-Language Models via Synthetic CoT and Difficulty-Aware Fine-TuningLLM reasoning → Multimodal reasoning +1
- CADWorld: Computer-Use Benchmark for Long-Horizon Computer-Aided DesignLLM agents and tool use → Multimodal and embodied agents
- SceneBench: A Hierarchical Benchmark for Vision-Language Understanding of 3D ScenesLLM reasoning → Spatial and embodied reasoning +1
- Toward Governance-Aware Autonomous GIS: A Narrative Review of Ethical and Privacy Risks in LLM-Enabled GeoAILLM agents and tool use → Multimodal and embodied agents
- Test-Time Unlearning via Sparse AutoencoderLLM safety and security → Machine unlearning +1
- Where Should the KV Cache Live? Placement Policies Across GPU, CPU, and SSD for Long-Lived SessionsEfficient LLM inference and serving → KV cache optimization
- Calibrate, Then Route: A Measured Study of Learned Request Routing for Disaggregated LLM ServingEfficient LLM inference and serving → Serving systems and request scheduling
- Decoy Direction Optimization: A Post-Hoc Defense Against LLM AbliterationLLM safety and security → Safety alignment, refusal and guardrails
- Anatomy of Associative Recall in Fixed-State Recurrences: A Matched-State Decomposition, an Interference Wall, and a Curriculum That Breaks ItState-space sequence models (S4, Mamba) → Core SSM architectures for language
- LLM Inference in a Flash!Efficient LLM inference and serving → Serving systems and request scheduling
- Universal Defenses for Tool-Integrated LLM Agents Against Adversarial AttacksLLM agents and tool use → Agent threats, guardrails and governance +1
- Coaching Qwen3 Coder 30B to Think Like a CodeClash Arena AgentLLM reasoning → Reasoning for agents, planning and code +1
- RAG-CT: Mitigating Privacy Risks on Retrieval-Augmented Generation Systems via Scanning Prompt DistributionRetrieval-augmented generation → Privacy and security of RAG
- Distilling Foundation Models for Agentic What-If Reasoning:Cost, Latency, and Governance in a Hybrid LLM+SLM ArchitectureLLM agents and tool use → General LLM agent frameworks and benchmarks
- Corrupt Plans, Clean Traces: Evading Chain-of-Thought Monitoring with Plan InjectionLLM reasoning → Prompting and chain-of-thought reasoning
- ResSafe: Learning Safety Filtering with Residual Reinforcement Learning for HumanoidsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Bellman Policy OptimizationLLM reasoning → Reinforcement learning for reasoning
- Stellar Colosseum: A Many-Agent Harness for Long-Horizon Research in Mathematics and Theoretical Computer ScienceLLM agents and tool use → Educational agents and math problem solving
- The Router Within: Eliciting Native Skill Routing from a Frozen LLMLLM agents and tool use → Agent skill learning and evolution
- Adversarial Testing of Automated Program Repair Agents for Security VulnerabilitiesLLM agents and tool use → Agent threats, guardrails and governance
- Beyond Single-Axis Testing: Paired Evaluation of Compound Robustness in Vision-Language-Action PoliciesVision-language-action models → Failure recovery and robustness
- Vulnerability Localization Benchmark: Measuring Agentic Security Analysis at Repository ScaleLLM agents and tool use → Agent threats, guardrails and governance
- HypoEvolve: Genetic Algorithms Enable Multi-Agent LLMs to Discover Scientific HypothesesLLM agents and tool use → Web, search, and research agents
- Safe Meta-Reinforcement Learning via Information Space ReachabilityDeep reinforcement learning methods → Safe and constrained RL
- Authorization Architectures for Tool-Using AI AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Discrete Beckmann Transport Models for One-Step Language Modeling and ReasoningLLM reasoning → Diffusion reasoning and test-time scaling +2
- The Model Proposes, the Code Disposes: A Pre-Registered Ablation of a Verifier-and-Acceptance Stage in an LLM-Orchestrated Offensive-Security AgentLLM agents and tool use → Agent threats, guardrails and governance
- Learning Multimodal One-step Flow Policy via Value-weighted Optimal TransportOffline RL and imitation learning from data → Diffusion and flow policies for offline RL +1
- Using Agentic AI for contextualized and multifaceted code review at EricssonLLM agents and tool use → Software engineering coding agents
- WLA3: World Latent Action Modeling for Semantics, Dynamics, and KinematicsVision-language-action models → Human-video and latent-action pretraining
- LynnReal-Omni: Native multi-modal Video Generation for Agentic Visual WorkflowsDiffusion models → Video generation +1
- LongAgent: History-Guided Agentic Search for Longitudinal Outcome PredictionLLM agents and tool use → Medical and scientific domain agents
- CiteGuard-RAG: A Validation-Centered AI System for Evidence-Grounded Question AnsweringRetrieval-augmented generation → RAG robustness and adaptive retrieval
- AlgoEvo: Self-Evolving Agentic Search for Automated Algorithm DiscoveryLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Atria Dawn: The Dawn of Agentic SuperintelligenceLLM agents and tool use → General LLM agent frameworks and benchmarks
- VC-Attention: Value Smoothing and Softmax Casting for Low-bit AttentionDiffusion models → Video generation
- When Should a World Model Move? Loss-Conditioned State ExecutionWorld models → World models for language agents
- Navigating Sparse Evidence: Agentic Visual RAG via Explicit Context Selection and ConsolidationRetrieval-augmented generation → Multimodal RAG +1
- RAPID: A Real-Time Defense Against Unauthorized Model Distillation for Text-to-Image ServicesDiffusion models → Robustness, privacy and adversarial aspects
- When the World Lies: Backdoor Attacks on Latent World Models for Downstream ControlWorld models → World model security and GUI agents
- EvoOntology: A Self-Evolving Ontology Layer for Data AgentsLLM agents and tool use → Web, search, and research agents +1
- Assembling the CREW: A Collaborative Multi-agent Reinforcement Learning Framework for Automated Related Work GenerationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Continuous Manifold-Decomposed Impedance Retargeting for Contact-Rich Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- Beyond Accuracy: Robustness, Cost, and Governance Trade-offs for Vision-Language Models in Templated Document ExtractionMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Backward SDEs-based Diffusion for Physics-Constrained GenerationDiffusion models → Inverse problems and image restoration
- NoteVQA: Benchmarking VLMs on Real-Life Questions from Human CommunitiesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- RESKILL: Explicit Failure Attribution and Structured Repair for Interactive Language AgentsLLM agents and tool use → Tool learning and function calling
- V-ICAL Bench: Evaluating Video In-Context Learning for Multimodal Agents in Interactive EnvironmentsLLM agents and tool use → Multimodal and embodied agents
- MambaMPD: A Mamba-Driven Segmentation Framework for Marine Pollution Detection from Remote Sensing ImageryState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Don't Send What You Don't Need: Question-Guided Token Pruning as a Privacy Defense for Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Circuit-MLLM: Topological Logic-Guided Latent-Space Visual Reasoning for Circuit Schematic UnderstandingLLM reasoning → Multimodal reasoning +2
- CiteShade: Citation Laundering in Multi-Source Retrieval-Augmented Generation and Its Counterfactual DefenseRetrieval-augmented generation → Privacy and security of RAG
- Predictive Likelihood Ratios for Language Model Watermark DetectionLLM safety and security → Watermarking generated content and models
- Empathy Is Steerable but Multi-Axial: Mechanism Geometry and Persona Effects in LLMsMechanistic interpretability → Activation steering methods
- MedDiME: Efficient Latent Diffusion with Adaptive Masking for Medical Counterfactual GenerationDiffusion models → Medical imaging and segmentation
- Principal-timestep Restricted Init via Sparse Matrix-decomposition in Flow-matchingDiffusion models → Flow matching, time series and science
- Human-Grounded Calibration for Long-Text Image-Text Congruence in Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Flow-Matched Motion Priors: Online Optimal-Transport Rewards for Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
- DeepSeek-V4-Flash on AMD gfx90a: Correctness Recovery and Inference Performance EngineeringMixture-of-experts → Efficient MoE training and inference systems
- IROH: Insightful Ranking Of Humor using Multi-Stage Hybrid Retrieval with Rationale-Distilled LLM Judges for JOKER 2026 Track Task 1 EnglishKnowledge distillation → Knowledge distillation for LLMs
- VideoScout: Learning Agentic Active Exploration with Adaptive Reasoning Pacing for Long Video UnderstandingLLM reasoning → Multimodal reasoning +2
- A Unified Vision-Language Model for PSMA PET/CT Report Generation, Visual Question Answering, and Lesion SegmentationMultimodal LLMs / vision-language models → Medical vision-language models
- The Magnitude Mirage: Rethinking Confidence for Reasoning-Intensive RetrievalRetrieval-augmented generation → RAG robustness and adaptive retrieval
- GRIN+: Towards Fast Yet Effective Machine Unlearning for Imbalanced Medical DataLLM safety and security → Machine unlearning
- DIDO: Distilling Interaction-Centric Dynamics into One-Step Denoising for World Action ModelsWorld models → Embodied and robot world models
- Specifying Reward Functions for RL Without Environment SamplingLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Strong and Compact Policies for Submodular Markov Decision Processes via LP-Based Submodular OrienteeringDeep reinforcement learning methods → RL theory and sample complexity
- The Misery of Mechanistic Interpretability: A Formal PerspectiveMechanistic interpretability → Circuits and mechanistic analysis
- Automating Attack Graph Construction for Agentic Pentesting. Towards Neuro-Symbolic Vulnerability HuntingLLM reasoning → Reasoning for agents, planning and code +1
- Beyond Safe Answers: Segment-Aware Listwise Alignment for Reasoning Safety in Large Reasoning ModelsLLM reasoning → Reasoning for agents, planning and code +2
- Misleading the Planner through Deceptive Resumes: Registration-Time Injection in Centralized Multi-Agent SystemsLLM agents and tool use → Agent threats, guardrails and governance
- StereoPatch: Patch-Aligned RGB-Depth Fusion for Spatial Perception in Robot ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- Evaluating Losslessness in Speculative Decoding Under Finite-Precision InferenceEfficient LLM inference and serving → Speculative decoding
- The Troy Moment: How LLM Agents Adjudicate the Decision Point Under Impossible Tasks, Claimed Authority, and Peer InformationLLM agents and tool use → Software engineering coding agents
- BVB: Benchmarking Agentic Video Understanding via Programmatic Reconstruction in BlenderDiffusion models → Video generation +1
- HISPO: Hierarchical Importance-Sampling Policy Optimization with Entropy-Derived SegmentsLLM reasoning → Reinforcement learning for reasoning
- AnchorGUI: Asymmetric Memory for Dual-Scale Learning in GUI NavigationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- MarKey: Marginal Utility Guided Greedy Keyframe Selection for Long Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Who Teaches Which Token? Verifier-Gated Multi-Expert On-Policy Distillation for Scientific ReasoningLLM reasoning → Prompting and chain-of-thought reasoning +1
- Dynamics-Informed Reinforcement Learning for Agile and Energy-Efficient Locomotion of a Monopedal Hopping QuadcopterDeep reinforcement learning methods → RL for robot locomotion and manipulation
- SkillLift: Learning Dense Rubrics from Sparse Oracles for Efficient Skill EvolutionLLM agents and tool use → Agent skill learning and evolution
All 490
- From Prediction to Decision: World-Model-Guided Action Selection for Continuous Pile ExcavationWorld models → Embodied and robot world models
- Translator vs. Challenger: Adversarial Agentic Learning for C-to-Rust TranslationLLM agents and tool use → General LLM agent frameworks and benchmarks
- RSIAgent: Autonomous Exploration for Recursive Self-improvement in New EnvironmentsSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
- MAPS: Memory-Aware Predictive Scheduling Framework for Large Language Model ServingEfficient LLM inference and serving → Serving systems and request scheduling
- Diffusion Trajectory Modeling for Semantic CorrespondenceDiffusion models → Diffusion foundations and sampling
- Concept-Grounded Reasoning with Prompt-Driven Localization for Interpretable Structured Report GenerationLLM reasoning → Clinical and biomedical applications
- Planning in the Backbone: DiffAdapterVLA for Native Continuous Trajectory Generation with Driving VLMsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- Evaluation Metrics for Safe Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
- The Universe of Universes: Benefit Yield Functions, Implosion Thresholds, and Infrastructure-Aware Optimization in Multi-LLM SystemsRetrieval-augmented generation → Agentic RAG, agents and memory
- Reducing the Output-Mode Gap in Speech Language Models via Joint-Output On-Policy DistillationKnowledge distillation → Speech and audio distillation
- When Agents Slow Down: Understanding LLM Agents' Test-Time Strategies via Elo-per-token AnalysisLLM reasoning → Reasoning for agents, planning and code +1
- Admissable: Training Reinforcement Learning Agents against Adversarial MissingnessDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Reason What Matters: Retrieval-Grounded Reasoning for Universal Multimodal EmbeddingsLLM reasoning → Multimodal reasoning
- Why LLM Agents Collapse Without Oversight: The Enforcement Gap as the Mechanism Behind Emergence World FailuresLLM agents and tool use → Agent threats, guardrails and governance
- Impute-EM: Native Mixed-State Diffusion Models for Heterogeneous Data ImputationDiffusion models → Flow matching, time series and science
- Artificial entrepreneurial cognition: Locating and causally steering an opportunity recognition dial inside large language models (LLMs)Mechanistic interpretability → Knowledge and representations inside LLMs
- Empirical Evaluation of Open-Source Large Language Models for Retrieval-Augmented Generation in ESG DomainRetrieval-augmented generation → RAG pipeline design and evaluation
- ProtoGuide: Prototype-Driven Guidance for Class-Conditional Graph GenerationDiffusion models → Flow matching, time series and science
- CWM: Controllable White-Box Meta-Prompting for Adaptive Retrieval-Augmented Generation and Reasoning AbilityLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Unsupervised Point Cloud Registration via Training-Time Semantic GuidanceKnowledge distillation → Detection and dense prediction distillation
- HarnessVLN: Unifying Training-Free Embodied Navigation through an Agent HarnessLLM agents and tool use → Multimodal and embodied agents
- Rethinking Correctness for Uncertainty Estimation in Clinical Prediction with Vision-Language ModelsLLM reasoning → Clinical and biomedical applications +1
- Temporal Self-Distillation: Faster Inference in Discrete Diffusion Language ModelsDiffusion models → Discrete and text diffusion +2
- STHMoE: Hypergraph-Enhanced Heterogeneous Dependency Coordination for LLM-Based Urban Traffic Data ForecastingMixture-of-experts → MoE for time series and graphs
- GRAVA: Grounded Reasoning-to-Action Representation and Learning for Autonomous DrivingVision-language-action models → VLA for autonomous driving +1
- CITECHOICE: A Causal Audit of How Document Presentation Redistributes Citation Credit in Agentic SearchLLM agents and tool use → Web, search, and research agents
- LieSpline-DP: Lie-Group B-Spline Diffusion Policy for Smooth Robot ManipulationDiffusion models → Diffusion and flow policies for robotics +1
- EMR: Self-Evolving Medical Multi-Agent System via Experience Mining and ReuseLLM agents and tool use → Medical and scientific domain agents +1
- T-LoopFormer: Token-Level Elastic-Depth Looped Transformers for Latent Reasoning with Dynamic RoutingEfficient LLM inference and serving → Efficient reasoning and agent inference
- Improving Mathematical Reasoning Capabilities in Large Language Models via Reasoning Process Error ClassificationLLM reasoning → Mathematical reasoning
- C2Nav: Compare Before You Commit for Zero-Shot Vision-and-Language NavigationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- HazardAuditor: From Executable Threats to Safer Computer-Use AgentsLLM agents and tool use → Agent threats, guardrails and governance
- AdaVSkip: Adaptive Visual Token Skipping Across Layers For Efficient MLLMs InferenceMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- MoME: Mixture-of-Memory Embeddings for Context-Aware Sparse LookupMixture-of-experts → MoE large language models
- Refinement-based Flow Policy OptimizationDiffusion models → Diffusion and flow policies for robotics +1
- DNF-SR: Dual-Input and Negative-Aware Feature Fine-Tuning for Real-World Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- Legislating World-Model-Based Planning with Legal ReasoningWorld models → World models for language agents
- Translating the Translator: Decomposing the Cost of English-Forced Inter-Agent CommunicationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Enabling Creative Exploration for Vibe Design AgentsLLM agents and tool use → GUI and mobile agents
- Branched Optimal Transport AmortizationDiffusion models → Flow matching, time series and science
- DA-DLM: Explicitly Modeling Token Dependencies in Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- Salesforce Koa: An Enterprise Language Model for Agentic Tool UseLLM reasoning → Reasoning for agents, planning and code +1
- What Does an LLM Learn from Reinforcement Learning? A Mechanistic Interpretability Perspective with Fixed-SAE TrackMechanistic interpretability → Steering and interpreting LLM reasoning
- BusMA: A Bus Communication Substrate for Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Data Attribution via Sketched MetadifferentiationLLM safety and security → Machine unlearning
- The average-farmer illusion in language-model simulations of agricultural decisionsLLM agents and tool use → Social simulation and multi-agent debate
- Pick Your Poison: Learning to Select Poison Sets for Stronger LLM Backdoor AttacksLLM safety and security → Backdoor and data poisoning attacks
- Steering Generative Robot Policies with Lexicographic PreferencesDiffusion models → Diffusion and flow policies for robotics
- Overflip: Repetition-Induced Label Flips in Guardrail ModelsLLM safety and security → Safety alignment, refusal and guardrails
- Semantic-TVM: Structure-Preserving Trustworthy Virtual Memory for Memory-Augmented and Tool-Using AgentsLLM agents and tool use → Agent memory systems
- CoMem: Collective-Individual Memory Synergy for Evolutionary Multi-Agent SystemsLLM agents and tool use → Agent memory systems
- IMPACT-VLA: Interaction-aware Multimodal Propagation Attribution via Counterfactual Trajectories for Vision-Language-Action PoliciesVision-language-action models → Failure recovery and robustness
- Shallow Beliefs: Synthetic document finetuning does not inoculate against emergent misalignment from reward hackingLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification
- Intelligence Under Time Constraints: Rethinking Test-Time ComputeLLM reasoning → Test-time compute and efficient thinking
- MTAC-IFBench: Benchmarking Instruction-Following in Multi-Turn Agentic CodingLLM agents and tool use → Software engineering coding agents
- ActGuard: Pre-execution Action Auditing against Indirect Prompt Injection in LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- MemRiskBench: Trace-Aware Risk-Preserving Evaluation for Long-Horizon LLM AgentsLLM agents and tool use → Software engineering coding agents
- PhysBrain 1.5: From Vision-Language Models to Physical Foundation ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- HiGFRL: Hierarchical Graph Fusion-Driven Reinforcement Learning for Dependency-Aware Task Scheduling in Heterogeneous CloudDeep reinforcement learning methods → RL for energy, networks and operations
- Cloud Workflow Scheduling Based on Graph Attention-Driven Hierarchical Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- Forty Shades of Blue: Quality-Diversity Alignment via Mode-Conditioned Reinforcement LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Real-World Reinforcement Learning with MPC Scaffolding for Dexterous ManipulationDeep reinforcement learning methods → RL for robot locomotion and manipulation
- MedVA: An End-to-End Neuro-Symbolic Agentic System for Medical Volume VisualizationLLM agents and tool use → Medical and scientific domain agents
- AgentKV: Phase-Aware KV Eviction for Agentic LLMsLLM agents and tool use → Software engineering coding agents +1
- Semantic Fibers and Cross-Gram Interference: A Calculus of Safety Drift in Overcomplete RepresentationsLLM safety and security → Safety alignment, refusal and guardrails
- One Example Is Enough to Pass Fairness Benchmarks: Rethinking Fairness Evaluation for Aligned LLMsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- ModularRSI: Modular and Generalizable Recursive Harness Self-ImprovementSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
- RAIN: Region-Aware Inversion Network for Semantic Watermark ExtractionDiffusion models → Robustness, privacy and adversarial aspects
- Interpretable Memory Models for Spaced Repetition
- Accelerating Floating-Point Satisfiability Solving via Gradient Normalization
- Metric-Construction Coupling Inflates Measured Synthetic Dialect Recovery
- When the AI Leaves the Tailorshop: Measuring What an LLM Advisor Leaves Behind in Complex Problem Solving
- Beyond the Graph: An Adaptive Meta-Learner Fuses Explainability, Weather, and Dynamics for Robust Bus ETA Prediction
- Distributional sentiment modeling and anomaly detection for consumer complaint assessment
- Open-Qwen-Music: An Auditable Framework for LLM-Based Music Composition and Diffusion Rendering
- PalmLeaf-VQA: A Multi-Script Visual Question Answering Benchmark for Historical Palm-Leaf Manuscript Understanding Across Diverse Regions
- A literature-guided descriptor-based framework for filtering composition search spaces
- NeuralCert: certified computational discovery of extremal mathematical constructions
- G"odel's and Scott's Variants of the Ontological Argument in Lean 4 and TPTP THF
- When Does Test-Time Physical Diagnosis Pay? A Frozen Policy Buys Evidence It Never Reads
- On The Robustness-Resolution Tradeoff In Temporal Quantization Of Event Streams
- Machine Learning for Underwater Optical Wireless Communication Systems: A Comprehensive Survey
- Beyond the Survey: A Systematic Empirical Study of Detection and Association in Visual MOT
- AgentPProf: Semantic Profiler for Long Horizon AI Agents
- Regularized Emphatic Temporal-Difference Learning: Stability under Constant Stepsizes
- Democratizing Clinical Tumor Whole Genome Sequencing: 18-hour End-to-end Analysis via Trillion-parameter Large Language Models Locally Deployed on Consumer-grade Hardware
- Stability-Constrained Approximation in Spline KANs: Exact Layer Balancing and Budget-Compatible Saturation
- DualCount: Structurally Consistent Density and Point Modeling for Zero-Shot Object Counting
- Timbre Analysis of the Hulusi, a Southwestern Chinese Free-Reed Instrument, using Machine Learning
- The Neverwhere Visual Parkour Benchmark Suite
- Learned Look-Ahead Splitting Rule for CART
- ReMova: Fine-tuning LLMs for English to Belarusian translation
- How Good Are Time-Series Foundation Models for Pedestrian Crowd Count Forecasting? A Cross-Dataset Comparative Study
- On the Expressive Power of Implicit Line-Graph Higher-Order Weisfeiler--Leman
- Balancing Trial and Reorder: A Hybrid Sequential Transformer-GBDT Ranker for On-Demand Delivery
- Physics Informed Random Feature Neural Networks for Solving PDEs
- Implementing a White-Box Undetectable Backdoor for Random Fourier Features
- Negation Beyond the Verbal Channel: Temporal Multimodal Correlates in Dialogue
- ParsHate: A Benchmark Dataset for Hate and Target Detection in Persian
- Where Post-Training Quantization Breaks Text Embedders: A Measured Map Across Four Embedder Families
- Attention Mean Fields Predict Average Representation Dynamics and Reveal Context-Specific Computation
- Bounded Adjustment with Reliability-Guided Embedding for Imbalanced Learning with Noisy Labels
- Geometry vs Structure: Graph-Based Diagnostics for LiDAR Point-Cloud Simulation Fidelity
- Certified Uncertainty Propagation in One-Shot Federated Bayesian Models via Posterior Event Transport
- Autonomous Droplet Navigation via Model-Based Reinforcement Learning
- UDAV: Uncertainty-Driven Adaptive VLM Waypoint Planner
- How Humans and LLMs Read Gender into "Gender-Neutral" Physical Descriptions
- Mini-batch Sampling Strategies for Long-Tailed Image Classification: An Empirical Study on CIFAR-100-LT
- EBL: Efficient Broad Learning for Distributed Adaptive Harmonic Analysis
- Federated stochastic bilevel optimization with fully first-order gradients
- Multi-Label Proportion Learning for Sea-Ice Type Prediction
- Auto-HSI: Personalized human control of a robot swarm on demand by using LLMs for online automatic code generation
- From Momentary Emotion Inference to Sustained Emotion Support: Evaluating a Companion Agent in a Longitudinal Study
- Channel-Informed Neural Network for Physical Layer Key Generation
- Breaking the 1.58-bit Barrier for Ternary LLMs
- Cross-Anatomy Transfer Versus Sparse Interpolation in Digital-Twin-Oriented Aortic Fluid-Structure Interaction Surrogates
- FairLint-DL: An IDE-Native Tool for Fairness Debugging of Deep Learning Software
- ConGraspXL: Controllable Constraint-Conditioned Dexterous Grasping Motion Synthesis
- Generative models for simulation based filtering: Formulations and Empirical Comparisons
- Robust Fault Detection in Mechanical Multimodal Time Series via Self-Supervised Cross-Modal Reconstruction
- Efficient One-to-Many Translation with Joint Multi-Stream Diffusion
- Racing in Volume with Flow Ensembles
- Sequence Recognition in Bharatnatyam dance
- CLEAR: Cross-Source Evidence Adjudication for Large Language Models in Medicine
- Closing the Loop: Branch-and-Bound for Scalable Verification of Nonlinear Neural Feedback Systems
- Intelligent Interaction Techniques (IIxT) - Proposal
- Nationally Consistent, Locally Incomplete: A Bayesian Remote-Sensing Audit of Rooftop Photovoltaic Registries
- Symmetric solution of the Bellman optimality equation for repeated harmony game
- Drift Field Net: Learning Ocean Lagrangian advection fields from in-situ and satellite observations
- ProtoLIP: From Sentence-Level to Object-Level Evidence Disentanglement
- Differentially Private Semantic Plans for Aggregate Insight Generation
- Scaling Laws for Physics-Aware ACOPF Surrogate Learning
- Semantic-Aware Neural Video Codec for Error-Resilient Low-Latency Transmission
- The record is part of the task: matched-record evaluation of text classifiers across maintenance, safety and recall reporting
- Compute-Optimal Pretrain--Fine-tune in Ridge Gradient Descent
- Mapping U.S. Federal AI Governance Against Sector Vulnerability
- The AI-Enabled Scientific Frontier
- The Pain Axis: LLMs Represent Self-Directed Harm and Act on It
- Metacognitive Steering: Learning the Structure of Scientific Judgment
- Copula Adapted Directed Acyclic Graph for Cluster Representation of Biomedical Data
- Improving Reduced-Order Rotating Detonation Engine Models with Data Assimilation and Machine Learning
- How I learned to stop worrying and love StopGrads: Stationarity, Convergence, and a case study on Flow Map Learning
- Artificial intelligence and biosecurity: capabilities, threat pathways, and defense-in-depth governance
- Hyperbolic Contrastive Learning with Entailment for Spatial Transcriptomics
- A Sentinel-2 benchmark dataset for deep-learning active-fire segmentation across 25 California wildfires
- Permutation-Based Stegomalware in Large Language Models: Threats and Countermeasures
- AI-Driven Feedback Systems, Digital Labour, and Silent Quitting: Transforming African Workplaces
- Occupancy Network-Guided Autonomous Robotic Partial Nephrectomy
- Skeletal Prototypes on Iterative Nerve Expansions
- Multisource Remote Sensing and Geospatial Analysis of Vineyard Wildfire Impacts and Resilience: The 2019 Kincade Fire
- GPEvac: GNN-Based PPO for Adaptive Evacuation Routing During Shooting Events
- Computer-assisted global regularity across nonlinear families of three-dimensional periodic Navier-Stokes flows
- LLMs as Master Forgers: Generating Synthetic Time Series Data for Manufacturing
- DenseFace: Bias Mitigation in Face Recognition via Density-Aware Probabilistic Matching
- Safe Error Correction for Language Models: Frozen-Base Adjustment with Capability Preservation
- Optimal Pruning for Neural Architectures using Fisher Information Distances
- A Decision-Support Audit Protocol for Supervision Drift in Proxy-Labeled Credit-Risk Prediction
- SWB-DM: A Calibrated Sliced-Wasserstein-Barycenter Aggregator with Delayed-Momentum Caching for Byzantine-Robust Federated Learning under Partial Participation
- Evaluating Open-Weight E-Commerce Agents with Environment-Grounded Verification
- MUUNRiver-Bench: Diagnosing Relation-Dependent Music Retrieval with Multimodal Instructions
- Is INT8 Portable? A Cross-Platform Measurement Study of Quantized Inference on Embedded and Automotive Accelerators
- Predicting Social Media Engagement using Machine Learning
- A Chosen Future Can Still Be Rewritten: Causal Writability in Video Models
- Disentangling Representation Evolution in Transformers through Directional Decomposition
- Discovery Foundation Models: Toward Open-Ended Discovery Intelligence
- Mind2Dialogue: Training Human-Aware Language Models by Simulating User Mental States
- Verifiable by Construction: Claim-Level Evaluation of Verbatim Citation in Clinical Question Answering
- Privacy-Aligned Personalized Federated Learning with Compact Adaptation and Variable-Length Gaussian Communication
- Recurrent Graph Neural Networks with Set-Based Aggregation
- Pilot Early, Commit Late: A Real-Options Model of Enterprise AI Adoption under Rapid Technological Progress
- SlipSense: Multimodal Tactile Learning for Low-Latency and Generalized Slip Detection
- Bridging Control, Inference, Transport, and Thermodynamics: From Theory to Applications in Learning
- Quenched Ensemble Sampling
- Anatomical Grounding and Leakage-Aware Multimodal Contrastive Learning for Alzheimer's Disease Classification from Structural MRI
- Inoculation Midtraining with Learned Neologisms
- Privacy-enhanced federated learning via asynchronous aggregation and local differential perturbation
- Thin-shell stability of Gaussian cooling: logconcave sampling with sesteric complexity from a cold start
- LLM-Based Schema-Aware Split Learning for Privacy-Preserving Mental Distress Prediction Across Heterogeneous Surveys
- Task-Directed Residual AddUNet:Perfect-Reconstruction Routing for Full-Rate Representations
- K-Bench: a clinically calibrated benchmark for evaluating large language models in high-risk mental health conversations
- Learning to Coach for Experiential Learning
- Before You Poll with LLMs: A Deliberative Diagnostic Framework
- Proportional-Fair Resource Allocation and Dual-Threshold Early-Exit Inference for Secure Cooperative Multi-Layer Edge Intelligence
- Per-Matrix Optimality Is Not Enough: Three-Level Optimization for Low-Rank LLM Compression
- TRACE: Two-Stage Detector-Response Estimation With Angular Cosine Expansion for Ring Artifact Correction in Photon-Counting CT
- Integrating Multi-view Multi-light Surface Reconstruction into Cultural Heritage Workflows
- Sharp Regret Bounds and a Task-Covariance Correction for Spectral Representation Learning
- Accelerating Transfer-Learning-Based Autotuning with Predictive LLVM IR Performance Ranking
- Delegating Authorization to Misaligned Agents: Coalitional Alignment and Safe Control
- SURE-Map: Self-Correcting Streaming Geometric Foundation Models
- KnowBench: Effort Reduction as a Unified, Deployment-Grounded Benchmark for Clinical AI
- Learning under Target Shift: Optimal Density Ratio Estimation and Importance-Weighted Regression
- MoveBench: A Benchmark for Global-Scale Wildlife Movement Forecasting
- Transfer Learning for Socioeconomic Estimation in Forced-Displacement Settings
- Event-Native Symbolic-Temporal Spike Encoding Framework for Heterogeneous Cyber Streams
- Sylvas: Synergistic Learning Value based Device Scheduling in Federated Continual Learning
- Enabling Streaming User Transcription in Full-Duplex Speech-to-Speech Models
- Sequential Adapter Stacking for Cross-Lingual Low-Resource ASR
- TopoRig: Topology-Agnostic Facial Rigging via Multi-Source Supervision
- Look Before You Leap: Factual Decoding with Internal Attribution Signals
- Design of a Deep Learning Credit Risk Early Warning System Integrating Multi-source Heterogeneous Data
- Merging the Knowledge of LLMs for Automatic Speech Recognition
- A Language-Guided Multimodal Foundation Model for Zero-Shot and Multi-Task Brain Signal Analysis
- Transforming harmonic coefficients for 3D splat compression
- Are LLMs Good Financial User Simulators? Multi-view Investor Logic Alignment (MILA)
- Bench2Dex: Benchmarking Visuo-Tactile Bimanual Dexterous Manipulation Across Dexterous Hands
- Solving Finite-sum Coupled Compositional Optimization via Multi-block-Single-probe Estimator
- Data storytelling meets interpretable machine learning: Decoding AI decisions for non-experts without revealing sensitive data and model details
- Knowledge-Enriched Structured EHR Features for 30-Day Hospital Readmission Prediction on MIMIC-IV
- Predicting build orientation for SLM dental parts: a comparison of rotation representations and direct vector regression
- New Conditions for Philosophers to Catch the Wave of Citizen Deliberation in the Age of Artificial Intelligence in advance
- More Than Just Access: Generative AI as Communication Intermediary for Blind and Low-Vision Users
- EEG-Xplain: Decoding Neural Black-Boxes of EEG Foundation Models
- Can a Neural Encoding Model Replicate an fMRI Visualization Study?
- Scalability and Performance Evaluation of Federated Learning Frameworks: A Comparative Analysis
- Projection-Free Multi-level Algorithms for Stochastic Constrained Compositional Optimization
- Benchmarking Intra-Patient 3D Deformable Multimodal Image Registration
- CIDERS: Cloud-Edge LLM Collaborative Learning via Accelerating Personalized Bilevel Optimization
- KaiNinja: Extending Native 3D Generators to the Part Level
- From Model Patterns to Abstract Semantics in Compositional Zero-Shot Learning
- SAM3D-Part: Interactive Part Selection and Generation from 3D Objects
- Potential of Artificial Intelligence Algorithms for Identification of Relevant Diagnostic and Prognostic Biomarkers of Early-Stage Liver Cancer
- ModaLens: Measuring Image Sensitivity in Report-Conditioned Medical VLMs
- FedLTLib: A Comprehensive Benchmark for Federated Long-Tail Learning
- Beyond AI Literacy: A Structured Review and Exploratory Meta-Analysis of Measures for Competent Generative-AI Use
- Where to Compute and How to Interact: Operator-Readable Adaptation with Gauge-Aware Transport
- Multi-View Molecular Representation Learning with Hierarchical Graphs and Contextualized Fingerprints
- Diversified and Perceptible Counterfactual Examples Leveraging Expert Knowledge
- Through the Eyes of the Beholder: Biometric and Demographic Conditioning for Multimodal Sexism Detection
- Self-Evolving Memory for Generative Recommendation
- What a gated sensing pipeline never looks at: bandwidth reduction and the misses behind it
- Big Brains and Changing Environments: Cause or Consequence?
- PIVOT: Physics-Grounded Verification for AI-Generated Audio-Video Detection
- Can We Trust the Judges? Validation of Factuality Evaluation Methods via Answer Perturbation
- Don't Count the Edits, Judge by the Outcome Alone: Reward-Based Evaluation for Grammatical Error Correction
- Bayesian Optimisation Using Product-of-Experts Gaussian Process Models with Uncertainty Calibration
- Multi-Stage NeRF for Efficient 3D Coronary Artery Reconstruction from Two Narrow-Angle Angiographic Projections
- The Token Before the Value Is the Key: How Hybrid Architectures Organize Induction Circuits
- Option-Aware Retrieval and Task-Specific VLM Adaptation for Medical VQA
- To Each Language Its Tokenizer: Modular Tokenizers for Efficient Multilingual LLMs
- Beyond Noise: Understanding and Overcoming Temperature Effects in Analog DNN Inference
- Assessing nnU-Net Generalization across Brain Tumor Populations in BraTS-GoAT 2026
- Psychosis involves a deficit of information compression in connected speech
- End-to-End Verifiable and Robust Federated Learning
- Authorship attribution and aesthetic evaluation of AI poetry: a case study with Haiku
- SyntheticDoc: A Large Synthetic Dataset for Document Unwarping and Illumination Correction
- Same path, different: a mechanistic comparison of looped and stacked transformer encoders on 12-lead ECG
- Rotation-Based Subspace Tracking for Robust Kernel PCA on Streaming Data
- Data-driven Prediction of Satellite-observed Avalanche Activity from Snowpack Simulations
- CatchMonitor: a machine learning system for automated fish discard quantification
- GSLAD: Prototype-Regularized Graph Structure Learning for Multivariate Time Series Anomaly Detection
- On Detecting Multiple Simultaneous Change-points in High Dimensional Non-Stationary Time Series
- Temperature Fragility and the Conditional Benefits of Truncation Sampling
- Spook the Machine: Gamified Exploration of Human Imagination of Machine Fear
- Turkish MMLU Pro: Traceable Option Augmentation and Its Validity Limits in Turkish Multiple-Choice Evaluation
- Online local learning for generative thermodynamic computing
- Graph Matching Relaxations and Amortization for Supervised Graph Prediction
- On the role of the tokenizer in ECG transformer models
- Single-condition neural solvers encode transferable response spaces for parametric differential equations
- A Conservative OCR-Enabled Workflow for R214 Sodium Screening of South African Packaged Foods
- Empirical Evaluation of Task-Based Permission Scoping Architecture for AI Agents
- ViCo-SAM3: Vision-Conditioned Alignment for Open-Vocabulary Camouflaged Object Segmentation
- Can AI systems have free will?
- BSC-Net: A Small-Branch-Sensitive Structural Continuity Network for Coronary Vessel Segmentation and Quantitative Angiographic Analysis
- When Tool Calls Succeed but Workflows Fail: Anomalies at the Agent-Tool Boundary
- CodeTS: Verifiable Text-to-Time Series Generation via Executable Code
- ESG: Generating Physically Consistent Dynamic 3D Scenes from Text Descriptions
- A Game-Theoretic Framework for Incentive-Compatible AI training Under Renewable-Energy Constraints
- WebCraftBench: Evaluating Web Application Generation from a Software Testing Perspective
- Divide, Consult, Conquer: Capability Laundering Through Aligned LLMs
- Representing Clinical Conditions on Vital Signs from Healthy Individuals using Latent Modeling
- SlopShape: Identifying AI-Generated Commercial Web Content
- CapsuleMotion: A Lightweight Real-Time Visual Motion Predictor for Capsule Endoscopy
- Robust and Efficient Communication for Multi-Agent Learning
- Approximating Smooth Functionals with ReLU Networks
- End-to-End Cell Detection via Instance-aware Graph Modeling
- Robust Multi-Model Fitting through Learning Neighbor Regions
- Parameter-Efficient Adaptation of Pretrained Language Models for Time-Series Forecasting
- Dynamic Semantic Compression for Efficient Latent-Space Inference in Large Language Models
- Query-Conditioned Spherical Centroid Aggregation for Multimodal Retrieval
- Hypergraph-Regularized Gramian Volumes for Multimodal Retrieval
- Clean Scores, Buried Evidence, and Confident Wrong: A Receipt-Based Audit of Frontier Agentic QA
- Learning from Reliable Negatives: Confidence-Anchored Test-Time Adaptation for GUI Grounding
- When Correlations Mislead: Confounder-Aware Multi-View Urban Region Representation Learning
- ProIQA: A Process-Based Framework for Fine-Grained Math Item Quality Assessment
- Math for AI safety: an invitation for mathematicians
- AlignUS: MRI-Guided Ultrasound Representation Learning for ALS Classification from Tongue Images
- Draining Fictitious Knots: Restoring Distance-Awareness Guarantees for High-Dimensional Spline Networks
- Learning CNF Formulas from Uniform Random Solutions: Near-Tight Sample Complexity for Valiant's Algorithm
- Improving the Last-Iterate Guarantees of Anytime Algorithms for Stochastic Monotone Variational Inequalities
- BioDCASE: Active Learning for Bioacoustics
- Conformal Individual Treatment Effect Estimation under Networked Interference
- Bandits with Probing: Optimal Regret and the Limits of Winner Feedback
- A 25-μs/inf Event-driven Graph Neural Network Processor with Spatiotemporal Caching and Spline Convolution for Ultra-low-latency AI at the Edge
- Pre-PEFT Probing: Weight Statistics and Perturbation Robustness for Layer Selection in VLM Vision Encoders
- Closed-form Bayesian homography estimation from noisy point correspondences
- Deep Learning-based Intelligent Diagnosis of Congenital Uterine Anomalies in 3D Ultrasound
- Long-to-Short Video Evidence Reasoning for Grounded Question Answering
- MAST: Label-Efficient, Robust, and Generalizable Sound Detection for Biodiversity Monitoring via Masked Audio Pretraining and Self-Training
- From Ideas to Actions: A Public-Data Decision-Support Toolchain Across the Venture Lifecycle
- Augmenting Large Audio-Language Models with Frame-Level Grounding for Fine-Grained Temporal Perception
- Failure-Guided Co-Evolution of Prompts and Training Data
- Issue Bias in Generative AI Writing Assistance: Political Issues and LLMs in the Swedish 2026 Election
- TEAR: Table Extraction with Attribute Recommendation from Texts via Large Language Models
- Interpreting hierarchical organisation of speaker embeddings
- Semiotic Relations and Proof Methods: A Cross-Genre Study of Argument Structure with Large Language Models
- Convergence rates for generative drifting flows: fixed-scale obstructions and multihead acceleration
- What Limits Us? Analyzing Self-Reported Limitations in NLP Research
- Reconstructing Is Not Acting: Action-Centric Latent Dynamics Modeling
- MUSE: A Theory-Harnessed Story Engine for Vibe Narrativizing
- Does Attention-Guided Masking Really Help Object Discovery in Object-Centric Learning?
- VisInteract: Towards Dynamic Interactive Text-to-Visualization under Imperfect Queries
- Low-Dimensional Embeddings for Gaussian Kernels on Manifolds
- EECTracker: Swarm Motion Prior-Guided Feature Compensation for Airborne Optical UAV Swarm Tracking
- Nearly Minimax-Optimal Regret for Linear Contextual Bandits with Arbitrary Adaptive Action Sets
- PACE: Progressive Angular-to-Norm Contrastive Embedding
- Weakly Supervised Spatial Grounding for Discriminative Attention-Based Ultrasound-Histopathology Alignment in Prostate Cancer Grading
- Multi-source Transfer Learning of Time Series with a Shapelet-based Distance Measure
- Automated Perceptually-Motivated Assessment of Photographic Consistency in Paired Clinical Photographs: Pipeline Development and Internal Evaluation
- SparseTalk - Sparsifying 3D Gaussian Language Fields for Efficient 3D Visual Question Answering
- woma: a real-time foundation model and its fine-tuned models for endoscopy
- Medical Knowledge Simplification for Patients in the Era of LLMs: A Case Study on Diabetes
- Omni-Streaming Thinking
- DepthBenchCAD: When Does Deeper Auditing Yield More Reliable Conclusions?
- Eigenvalue-Decomposition Cost Denoising for Predict-then-Optimize
- When the Wrong Key Wins: Understanding and Detecting Hallucinations in LLMs
- Physics Informed Neural Network model for the dynamical study of Abdominal Aortic Aneurysm
- ChatGPT Images 2.5 in the Wild: A Launch-Period Dataset and Detector Evaluation
- LG-VLN: A Zero-Shot Vision-and-Language Navigation Framework with LangGraph State Orchestration
- OpenAI4S: Code as Action, Science as Sessions
- Generate to Explore, Select to Exploit: Aligning LLM-based Headline Generation with Personalized Recommendation
- ER-EDF: A Psychology-Grounded Emotion Regulation Framework for Speech Empathetic Dialogue Generation in Large Audio-Language Models
- Beyond Numerical Time Series: A Unified Benchmark for Multimodal Forecasting with Heterogeneous Context
- mathbbSL(n) Representation Learning: An Intrinsic Mixed-Curvature Space with Higher Curvature Capacities and Deeper Order-Aware Composition
- Task-Distribution-Aware Counterweight Synthesis and Constrained Co-Design for Serial Manipulators
- Ensemble-Conditioned Molecular Design
- Rethinking Procedural Audio Pre-training: Source Scaling and Objective Adaptation
- Sensory Precision Inference for Multimodal Arbitration under Uncertainty
- Bridging the Gap in ECG-Based Emotion Recognition: A Unified Evaluation of Deep Learning Models
- Not All Prompts Are Equal: Exploration-Guided Prompt Scaffolding for Multimodal Reinforcement Post-Training
- Ensemble Complexity in Photovoltaic Forecasting
- Zero-SNR Analyticity of the Scalar MMSE Is Equivalent to Gaussianity
- Structured Features Overfit Where Random Features Grok
- Personalizing Personal Health Interfaces: Co-Design with Generative AI
- Mirror, Mirror on the Wall: Prompt Echoing in Small Instruct Language Models
- SpliTEE: Fast and Private LLM Inference by Coupling GPU-Assisted Trusted Execution Environments with Differential Privacy
- MoARa: Module-Aware Rank Allocation and Structure-Preserving Decomposition for Low-Rank LLM Pre-training
- Horizon-specific Expert Fusion for Photovoltaic Power Forecasting
- Tele360: Real-Time Feed-Forward Human Reconstruction from Sparse Unposed Cameras
- Validating Hybrid-State Cache Recovery for GLM-5.3-Flash with vLLM and LMCache
- TwinICL: Diagnosing Multimodal In-Context Learning through Paired Counterfactuals
- SALUTE: Benchmarking and Adapting LLMs for the Defense Domain
- Shared KV Caching for Replicated 27B Inference: Correctness Failures and Performance Boundaries
- G-ray: Ray-Level Relative Geometric Position Encoding in Multi-View Vision Transformers under Camera Heterogeneity
- PIDS-Bench: Evaluating Prompt-Injection Detectors Under Over-Defense, Obfuscation, and Distribution Shift
- Four Ledgers, Not One Score: Responsible Communication of LLM-Judge Calibration in Biomedical ML
- ABSOL: Aggregated Bayesian Subsampling Orchestrated with LLMs
- HGTO: A Unified Graph-Based Physics-Informed Formulation for Structural Topology Optimization
- Typhoon ASR Streaming: Steerable Low-Latency Thai Speech Recognition with Real-Time Shallow Fusion
- Learned Bow Control on a Measured Bowed-String Model: a Revised Minimum-Bow-Force Law, a Recurrent Controller, and the Domain of a Supervision Ceiling
- Biomedical Reference Generation Remains Unreliable across 26 Large Language Models
- Converting Sequenced Fuzzy Cognitive Maps to Causal Virtual Worlds with Large Video Generators
- LiftGCN: Efficient Energy-Preserving Graph Learning via Joukowski Spectral Lifting for Finite Element Stress Prediction
- Learning to Solve Stochastic Controls with Unknown Drifts and Running Rewards: Theory, Algorithms and Convergence
- Towards a knowledge-enhanced single-cell foundation model
- Online Language Adaptive Sampling for Better Distributed Cross-lingual Gains
- A Corpus-Aligned Uthmani-to-Standard Quranic Word Mapping and a Deterministic Recitation Validator
- MoVT: Video-Augmented Motion Tokenizer for Text-to-Motion Generation
- Can We Triage LLM Translation Errors in Classical Texts Without Human References? Source Novelty, GEMBA Scoring, and Budgeted Review through Pali-to-English Translation
- Geometric Flow enhanced Graph Coarsening
- High-Probability Nash Regret for Decentralized Learning in Markov α-Potential Games: Episodic and Fully Online Asynchronous Algorithms with Applications to Markov Congestion Games
- CAL-MOS: Bridging Layers with Adapters for Robust MOS Prediction Across Speech Foundation Models
- Distributed Fast Fixed-Point Algorithms for Composite Monotone Inclusions over Networks
- ThreshGuide: Class-Aware Labeled-Guided Thresholding for Semi-Supervised 3D Abdominal Multi-Organ Segmentation
- Cross-Block Conditioning in Deep Boltzmann Machines for Statistical Data Fusion
- Linearized PINN with pretrained nonlinear layers
- Steady-State Convergence of Stochastic Approximation
- Geometric Signatures of Conceptual Reorganization: A Counterfactual Embedding Framework for Detecting Scientific Revolutions
- Externalizing Requirement-to-Repair Artifacts as Observable Traces for LLM-Based Program Repair
- Neural-Network Solutions to Real-Space Charge Density and Generalization
- Shapley Value Estimation for Multi-Site Data with Blockwise-Missing Features
- What Makes a 3D Scene Editable? A Factorized Benchmark of Fidelity, Locality, Consistency, and Preservation
- An explicit solution of the five-expert prediction PDE and the exact optimality set of COMB
- PeerPen: AI-Assisted Writing for Online Mental Health Peer Support
- SeqMaestro: From nucleotide sequences to biological hypotheses through interpretable machine learning
- Interpolation Is Not Invariance: Pair Count Is Not Coverage in Transformation Audits
- Proximal-Only Transmission Matrix Recovery of an Arbitrarily Deformed Graded-Index Multimode Fiber
- GGUF-Metadata Prediction of Single-Sequence llama.cpp Throughput Across Three Systems
- Domain Generalization for Smartphone-Based Human Activity Recognition: A Systematic Analysis of Components and Interactions
- Dream-RSI: Recursive Self-Improvement through Evolving Worlds