Papers
Wed 5 Aug 2026
474 papers
- Rewarding Efficient Reasoning Improves Abstention on Underspecified Tasks in Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
- AutoScientist-Quant: Self-Evolving Coding Agents for Automatic Research in Quantitative InvestmentLLM agents and tool use → Financial trading and forecasting agents +1
- CrossAudit: A Git-Native, Cross-Vendor Audit Loop for Agentic ScienceLLM agents and tool use → Web, search, and research agents
- Runtime Action Interference for AI Control of AlphaStar in StarCraft IIDeep reinforcement learning methods → RL for games and combinatorial optimization
- Data-DPO: Direct Preference Optimization for Target Model Data Selection in LLM Post-TrainingLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Rethinking Reverse KL as Adaptive Entropy DistillationLLM reasoning → Prompting and chain-of-thought reasoning +1
- Mitigating Rubric Interference in LLM Judges via On-Policy Self-DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- Weather- and Location-Aware Agentic Dining Recommendation: Leveraging LLM World Knowledge for Region-Sensitive Contextual ReasoningLLM reasoning → LLM reasoning for recommendation
- ComplexityWorld: Benchmarking Vision-Language Models on Verifiable Visual Decision MakingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- RouteGuard: Certifying Routing Gain in LLM Multi-Agent Systems When Complementarity Is Not EnoughLLM agents and tool use → Agent threats, guardrails and governance
- Multi-Branch Policy Optimization for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Recovering Lesion Parameters from Aphasic Picture Naming Error Profiles in Large Language ModelsMechanistic interpretability → Interpreting biomedical and science models
- Multi Codec Discrete Diffusion Model for Text Guided Speech Inpainting and EditingDiffusion models → Audio, speech and music
- WorldMark: A Plug-and-Play World Knowledge Interface for Cross-Host Language Model WatermarkingLLM safety and security → Watermarking generated content and models
- MOSAIK: Multi-Patch Content-Aware Spatial Allocation of Image Tokens for Efficient GenerationDiffusion models → Diffusion foundations and sampling
- DBLAST: Dependent Block Drafting for Stochastic Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- EvoHarness-RL: Learning Self-Evolving Runtime Harness for Long-Horizon LLM AgentsLLM agents and tool use → Software engineering coding agents +1
- Diff2Mix: Controllable Music Mixing via Diffusion Models and Differentiable Audio EffectsDiffusion models → Audio, speech and music
- Robust Context-Aware Detection of Malicious Instructions in TextLLM safety and security → Prompt injection and agent security
- IFlowNets: Extending Generative Samplers to Learn Strategies in Incomplete Information GamesDeep reinforcement learning methods → RL with diffusion and flow models
- Mood Matters: How Syntactic Sensitivity Undermines Safety AlignmentLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Text-Guided Refinement of Multi-sequence Glioma Subregion Segmentation with a Vision-Language Foundation ModelMultimodal LLMs / vision-language models → Medical vision-language models
- C3PO: Evaluating Cross-Modal Composition and Counterfactual Performance in Omnimodal ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal dataLLM agents and tool use → Medical and scientific domain agents
- Quantum-Structured World Models (QSWMs) for Predictive Latent DynamicsWorld models → Latent predictive world models
- World-to-Wrist: Task-Conditioned Future Wrist Modeling for Fine-Grained Robot ManipulationVision-language-action models → Tactile, force-aware and humanoid VLA
- Positive-Unlabeled Preference Optimization For Chest X-ray Report GenerationMultimodal LLMs / vision-language models → Medical vision-language models +1
- Hierarchical Server Architecture for Agentic ScienceLLM agents and tool use → Software engineering coding agents
- EdgeXpert: An Edge Device for Memory-Efficient LLM Inference with Mixture-of-Experts and Speculative DecodingMixture-of-experts → Efficient MoE training and inference systems +1
- Agentic self-driving microscopy benchmarks support qualification but do not necessarily generalize to unseen tasksLLM agents and tool use → Medical and scientific domain agents
- A Paragraph is Worth a Thousand Captions: Rethinking Text Supervision for Vision-Language RetrievalLLM reasoning → Multimodal reasoning +1
- An Emerging Retail Portfolio Management Application: Personalized, Tax-Aware Reinforcement Learning with Natural Language GoalsDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Constraint-First Reasoning: A Training-Free Protocol for Exploiting Answer-Space Constraints in Mathematical Problem SolvingLLM reasoning → Mathematical reasoning
- PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data SynthesisSynthetic data and self-improvement for LLMs → Self-improving MLLMs and synthetic data
- WorldClaw: Agentic 3D Open-World Generation at ScaleLLM agents and tool use → Multimodal and embodied agents
- Search2Skill: Skill Distillation Beyond Knowledge Boundaries Via Rubric-Based Reinforcement LearningLLM agents and tool use → Agent skill learning and evolution +1
- Disentangling 3D Modeling from Spatial ReasoningLLM reasoning → Spatial and embodied reasoning
- In-Context Forcing: Uncovering Context Effects in Autoregressive Video DiffusionDiffusion models → Video generation
- From Trajectories to Evidence: Auditable Experimental Records for Industrial Research AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Project2Task: Graph-Guided Project-Level Planning for Autonomous ResearchLLM agents and tool use → Web, search, and research agents
- Towards a Risk Assessment of Malicious Skill Files in Coding AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Diff-Symbo: Text-Controlled Long-Duration Symbolic Music Generation Using Autoregressive Latent Diffusion ModelDiffusion models → Audio, speech and music
- When Privileged Guidance Misaligns: State-Matched Routing and Contextualized Self-Distillation for Multi-Turn AgentsKnowledge distillation → On-policy and self-distillation for LLMs
- A Survey of Adversarial Efficiency Degradation for Vision Transformer by Exploiting Input-adaptive OptimizationEfficient LLM inference and serving → Token pruning and merging for ViTs
- SearchAuditor: Auditing and Attributing Failures in Long-Horizon Search AgentsLLM agents and tool use → Web, search, and research agents
- When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box ForecastersLLM agents and tool use → Financial trading and forecasting agents
- SkillTrace: Multi-Trace Provenance Auditing for LLM-Agent Skill ReuseLLM agents and tool use → Agent skill learning and evolution
- Argus: A General-Purpose Agentic Reasoning Runtime for Long-Horizon TasksLLM agents and tool use → General LLM agent frameworks and benchmarks
- OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context ModelingLLM agents and tool use → Software engineering coding agents
- Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon ReasoningLLM reasoning → Test-time compute and efficient thinking
- Teaching Nemotron Greek: Mining a Corpus, Adapting Retrieval, and Grounding Generation for Modern Greek across Specialist DomainsRetrieval-augmented generation → Generation and context integration
- OPD-V: Visual On-Policy Self-Distillation with Modality BalanceLLM reasoning → Multimodal reasoning +2
- Spoken Function Calling: A New Perspective on Spoken Language Understanding for Large Audio Language ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Chained Recursive Language Models for Multi-Iteration ReasoningLLM reasoning → Test-time compute and efficient thinking
- Reward Structure Shapes the Interaction Between Episodic Exploration and Neural Memory in Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Agent Against Agent: An Agentic System for Automatic Prompt Injection Red TeamingLLM agents and tool use → Agent threats, guardrails and governance +1
- Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matchingDiffusion models → Flow matching, time series and science
- Hierarchical Graph Memory for LLM Agents with Path-level Localization and RewriteLLM agents and tool use → Agent memory systems
- Learning When to Stop: Prefix-Optimal Dynamic Diffusion Policies for Continuous ControlDiffusion models → Diffusion and flow policies for robotics
- HelloWorld: Enabling Socially Interactive Characters in Video World ModelsWorld models → Video-generation world models and simulators
- Exact Model-Free Policy Iteration for Co-safe LTL PlanningDeep reinforcement learning methods → Interpretable and logic-guided RL
- Gradient Immunity: Null-Space Resistance to Malicious Fine-TuningLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- BridgeVLA++: A Data-Efficient, Generalizable, and Memory-Augmented Vision-Language-Action Framework for 3D ManipulationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Private Direct Preference Optimization for LLM AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- ArtAnno: Annotating Implicit Semantics in Artworks through LLM Agent-Driven Bidirectional Human-AI AugmentationLLM agents and tool use → Multimodal and embodied agents
- DreamWAM: Beyond RGB Future Prediction for World Action ModelsWorld models → Embodied and robot world models
- Protoreasoning in Tiny TransformersLLM reasoning → Prompting and chain-of-thought reasoning
- AsymSpec: Efficient Cloud-Edge Speculative Decoding over Asymmetric NetworksEfficient LLM inference and serving → Early exit and edge inference
- EvolveNet: Collaborative Harness Evolution for Agent Self-ImprovementLLM agents and tool use → Software engineering coding agents +1
- WorldCycle: Self-Verifiable Reinforcement Learning for Long-Horizon Video World ModelsWorld models → Latent dynamics models and model-based RL +1
- SpecRoll: Fast-Slow Verifier-Feedback Adaptation for Speculative Reinforcement Learning RolloutsLLM reasoning → Reinforcement learning for reasoning
- Unleashing the Potential of Vision-Language Models for Generalizable AI-Generated Image DetectionMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- State2State: Environment-Derived Mid-Training for LLM AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- Does Out-of-Sight Equal Out-of-Mind in CoT Monitorability?LLM reasoning → Prompting and chain-of-thought reasoning
- AutoCue: Multimodal LLM-Assisted Externalization of Implicit Inputs as Instructional Visual Cues in Screencast TutorialsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Enhancing Low Back Pain Assessment with Diffusion Models for Lumbar Spine MRI SegmentationDiffusion models → Medical imaging and segmentation
- Strengthening Target-Language Features: SAE-Based Steering for Multilingual InferenceMechanistic interpretability → SAE features and their applications
- When Does Latent Communication Pay? A Causal Audit of Relayed KV Caches in Multi-Agent LLMsLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- STEP-OPD: Rethinking Output Targets and Internal Dynamics in On-Policy Distillation for Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
- Evaluating the Diagnostic Robustness of Vision-Language Models Under Visual and Textual PerturbationsMultimodal LLMs / vision-language models → Medical vision-language models
- A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical CoordinationLLM agents and tool use → Web, search, and research agents +1
- MemoryCPT: An End-to-End Agent Memory Framework for Cost-Performance Trade-offLLM agents and tool use → Agent memory systems
- Towards a satellite image manipulation and deepfake localization benchmark datasetDiffusion models → Image generation, text-to-image and editing
- Skill-Use: Can LLMs Actually Use Skills in Agentic Harnesses?LLM agents and tool use → Agent skill learning and evolution
- Intrinsic-Hybrid Latent Diffusion Models for Generative Modeling on Unknown ManifoldsDiffusion models → Diffusion foundations and sampling
- When Diffusion Models Forget Who You Are: Identity Preservation in Face Inpainting under Large OcclusionsDiffusion models → Image generation, text-to-image and editing
- Scrouting: Cost-Aware Routing of Coding Agents by Scouting the Repository FirstLLM agents and tool use → Software engineering coding agents
- Reference-Based Manipulation: A Framework and Pipeline for Multimodal Spatial ReasoningLLM reasoning → Spatial and embodied reasoning
- Privileged, but Biased: How PI-Conditioned Teachers Break Self-DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- Agentic Reinforcement Learning with Observation-Calibrated Self-DistillationLLM agents and tool use → Reinforcement learning for LLM agents +1
- Fewer Tokens, Smaller Cache: Reward-Coordinated Efficient ReasoningLLM reasoning → Test-time compute and efficient thinking +1
- Embedding Large Language Models into Flow Controls: An Agentic Framework for Adaptive and Trustworthy Automated CookingLLM agents and tool use → General LLM agent frameworks and benchmarks
- Explicit Language Memory for Long-Horizon Planning in Vision-Language-Action ModelsVision-language-action models → Reasoning and chain-of-thought in VLA
- InsightEmb: Learning Action-Intent Embeddings for Agentic Insight RetrievalLLM agents and tool use → Web, search, and research agents +1
- Trace, Verify, and Correct: A Training-Free Framework for Spatial Reasoning in Multimodal LLMsLLM reasoning → Spatial and embodied reasoning +1
- PURPOSE: Poisoning Conflict Resolution in RAG via Proxy-Fact-Grounded UpdatesRetrieval-augmented generation → Privacy and security of RAG
- "Allow" to Achieve, Over-Privileged Inadvertently: The Unintended Cost of Task-Completion-Driven Pop-up Decisions in Mobile GUI AgentsLLM agents and tool use → GUI and mobile agents
- Caching for the Future: Scrub Jay Episodic Memory Principles for Agent Memory SystemsLLM agents and tool use → Agent memory systems
- LoginTrap: Uncovering Task-Agnostic Phishing-Style Indirect Prompt Injection Attacks against LLM-based Web AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- EviGraph: Evidence-Guided Autonomous Research AgentsLLM agents and tool use → Web, search, and research agents
All 474
- Chain-of-Thought Monitoring Can Be Unreliable in Implicit-Influence SettingsLLM reasoning → Prompting and chain-of-thought reasoning
- Toward Integrating Adaptive Experience Replay and Online Uncertainty Estimation in Safe Actor-Critic Optimal ControlDeep reinforcement learning methods → Safe and constrained RL
- When Prompts Become Pixels: Prompt-Region Grounding for Multimodal ReasoningLLM reasoning → Multimodal reasoning +1
- Diagnosing Tool-Selection Reasoning in LLM Agents with Canary ToolsLLM reasoning → Reasoning for agents, planning and code +1
- EmpaAva: An Open-source Agentic 3D-Avatar Empathetic Live ChatbotLLM agents and tool use → Multimodal and embodied agents
- UniWorld-View: Large-Baseline View Synthesis via Video Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Teaching MLLMs to Say No: Generalized Referring Expression Comprehension via Refusal Calibrated GRPOLLM reasoning → Reinforcement learning for reasoning
- Personalized Federated Sparse Adaptation of Time-Series Foundation ModelsMixture-of-experts → MoE for time series and graphs
- Suppression Sticks, Locality Is Fragile: A Closed-Loop Target-and-Control Audit of Task-Vector Negation in VLA PoliciesVision-language-action models → Failure recovery and robustness
- Active-SWE: Benchmarking Coding Agents for Proactive Bug Fixing without Issue ReportsLLM agents and tool use → Software engineering coding agents
- Easy to Complete, Hard to Choose: Investigating LLM Performance on the ProverbIT BenchmarkLLM reasoning → Reasoning benchmarks and evaluation
- An Exploratory Study of Agent Plans for Agentic AI Coding Tools in Open-Source SoftwareLLM agents and tool use → Software engineering coding agents
- MobileWAM: Bridging World Action Models to Mobile Manipulation with Chain-of-ForesightWorld models → Embodied and robot world models
- Overcoming Statistical Bias in Action-Controllable World ModelsWorld models → Embodied and robot world models
- Evaluating Theory of Mind in Reasoning Models: Robustness over ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- HELENA:Hierarchical Sparse Coordination over a Union of Complementary Topologies for MASLLM agents and tool use → General LLM agent frameworks and benchmarks
- Mind-VLA: Instruction-Aware Spatial Representation Alignment for Vision-Language-Action ModelsVision-language-action models → 3D and spatial-aware VLA
- Blockchain Empowered Trustworthy Agent Networks: Foundations, Taxonomy, and Future DirectionsLLM agents and tool use → Agent threats, guardrails and governance
- Masked diffusion enables coherent beat trackingDiffusion models → Audio, speech and music
- HiSC: Hierarchical Spatial Clustering Token Compression for Efficient 3D Scene UnderstandingLLM reasoning → Spatial and embodied reasoning +2
- Adaptive Intrusion Detection System using Transformer-Based Neural Networks and Continual Learning Approach with Adversarial InvestigationLLM safety and security → Backdoor and data poisoning attacks
- When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Joint UAV Flight and Opportunistic Routing under Reinforcement Learning for Delay-Tolerant NetworksDeep reinforcement learning methods → RL for robot navigation and UAV control
- The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question AnsweringMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- EASy: Towards Efficient LLM-Based Agentic SystemLLM agents and tool use → General LLM agent frameworks and benchmarks
- Breaking the Curse of Multilinguality in Many-to-Many Speech-to-Text Translation via a Resource-Aware Mixture of Speech EncodersMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- PhysMind: From Video to Executable Worlds for Training-Free Physical ReasoningLLM reasoning → Spatial and embodied reasoning
- When Memory Lies: An Empirical Study of Spatial Memory Staleness in VLM AgentsLLM agents and tool use → Agent memory systems
- Relevant but Incomplete: Referential Dangling as a Paradigm-Level Failure Mode in Hard Prompt CompressionEfficient LLM inference and serving → Prompt and context compression
- STRIVE: Probing Reasoning Limits in Graded Plausibility Generation and EvaluationLLM reasoning → Reasoning benchmarks and evaluation
- Breadcrumbing Search AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- VoxStruct3D: Structure-Leading Flow Matching for Voxel-Space 3D MRI SynthesisDiffusion models → Medical imaging and segmentation
- A Model Merging Approach for Continual MLLM UnlearningMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Discretization and Statistical Consistency of Functional Flow MatchingDiffusion models → Flow matching, time series and science
- FocusMem: Factorizing Content, Readout, and Trust in Latent GUI MemoryLLM agents and tool use → GUI and mobile agents
- Retrieve in Time, Correct in FrequencyVision-language-action models → Reasoning and chain-of-thought in VLA
- Coupled Continuous-Discrete Generation for Scene Text Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- ODRA: Synthesizing Cognitive Behavioral Therapy Sessions with Structured Chain-Of-Thought and Dynamic Patient ResistanceLLM reasoning → Clinical and biomedical applications
- Leak-Resistant Unlearning: A New Benchmark for Evaluating Multi-Hop Reasoning Consistency and Recovery RobustnessLLM reasoning → Reasoning for agents, planning and code +1
- CARVE: Cross-Slice Anisotropic Reallocation of Visual Evidence for Efficient 3D Medical Volume UnderstandingEfficient LLM inference and serving → Visual token pruning in multimodal models
- GUARD: Grounding Uncertainty and Ablation-Based Risk Detection for Diffusion-Based VLAsVision-language-action models → Failure recovery and robustness
- CARGO-VL: Counterfactual Arbitration with Risk-Constrained Group Optimization for Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Emergence of Reputation-Based Cooperation in LLM AgentsLLM agents and tool use → Social simulation and multi-agent debate
- K-EXAONE 2.0 Technical ReportMixture-of-experts → MoE large language models
- GeoReward: Mitigating Contextual Variable Overestimation in Vision-Language Models for Cross-Market Preference PredictionMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- AFD-Ledger: Deployment Provisioning for Attention--FFN DisaggregationMixture-of-experts → Efficient MoE training and inference systems
- DIVE: Dynamic Iterative Visual Evidence Construction for Efficient Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Not All Redundant Tokens Are Alike: Analyzing Visual Token Pruning through Token RolesMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Skills Know Their Neighbors: Cluster-Contrastive Capability Pages for Skill RetrievalLLM agents and tool use → Agent skill learning and evolution
- EndoVLM: An Endoscopy Vision-Language Pre-training Model via Anatomy-Guided Sparsity and Progressive AlignmentMultimodal LLMs / vision-language models → Medical vision-language models
- AdaptAgent: A Multi-agent, Domain-Guided Reasoning Framework for Code AdaptationLLM reasoning → Reasoning for agents, planning and code +1
- Architectural Implications of Agentic AI WorkflowsLLM agents and tool use → Software engineering coding agents
- Beyond Global Routing Aggregation: Phase-Aware Expert Merging for MoE Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Q-CueGraph: Query-Conditioned Visual Evidence Graphs for Multimodal ReasoningLLM reasoning → Multimodal reasoning +1
- When does training on downscaled images yield the same gradients?Diffusion models → Diffusion foundations and sampling
- D2F-ReAG: Dynamic Decomposition and Filtering for Multi-Hop Reasoning-Augmented GenerationLLM reasoning → Knowledge- and tool-augmented reasoning
- ToolArtist: Tool-Using Unified Multimodal Models for Agentic Image GenerationLLM agents and tool use → Multimodal and embodied agents
- Deltoris: Enabling Real-time VLA Inference in Embodied AI via Bit-level Sparsity and Speculative InferenceVision-language-action models → Efficient VLA inference and adaptation +1
- SPOT: Sparse Probing and Outcome Calibration for On-Policy DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- Social Pressure Breaks Majority Voting in LLM Safety PanelsLLM safety and security → Safety alignment, refusal and guardrails
- muSync-GS: Physics-Synchronized Driving Video Synthesis for Weather and Geometric Road HazardsWorld models → World models for autonomous driving +1
- Not Every Divergence Should Be Suppressed: Counterfactual Recoverability in On-Policy DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- MESH: Memory-Efficient Sinkhorn Optimization for Mixture-of-Experts TrainingMixture-of-experts → Efficient MoE training and inference systems
- Faster-WAM: Efficient Inference-Time Future Conditioning for Robust World Action ModelsWorld models → Embodied and robot world models
- Elbow-Based MoE Routing: A Training-Free Inference Time Plugin for Expert SelectionLLM reasoning → Test-time compute and efficient thinking +1
- CofactVLA: Deconfounding Vision-Language-Action Models via Counterfactual InterventionVision-language-action models → Failure recovery and robustness
- Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object DetectionDiffusion models → Image generation, text-to-image and editing
- ReGround: Restoring Visual Grounding in Multi-Step Reasoning through Self-Diagnosis and Visual Re-ExaminationLLM reasoning → Multimodal reasoning +1
- Helping Music Co-Creation Agents 'Listen' Well: Hierarchical Self-Supervised World Models for Understanding and GenerationWorld models → Video-generation world models and simulators
- Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG FrameworkRetrieval-augmented generation → Privacy and security of RAG +1
- Poly-OPD: Heterogeneous Multi-Teacher On-Policy Distillation for Capability-Selectable Flow ModelsKnowledge distillation → On-policy and self-distillation for LLMs
- Continuous Improvement and Parallel Autonomous Exploration: An LLM-Agent Framework for Searching Large Solution SpacesLLM agents and tool use → Web, search, and research agents
- ATLAS: Adaptive Topological Learning with Abstract Successors for Continual LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Trident : How to Break Deep Reinforcement Learning Cyber Defenses (Agentic)LLM agents and tool use → Agent threats, guardrails and governance
- Pun Intended: Multi-Agent Translation of Wordplay with Contrastive Learning and Phonetic-Semantic EmbeddingsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Structured LLM Reasoning for Zero-Shot Human--Robot Coordination Under Hidden GoalsLLM reasoning → Spatial and embodied reasoning
- Adaptive Finite-Budget Training for CVaR Risk-Aware Q-LearningDeep reinforcement learning methods → Adversarial robustness and RL in finance
- MIAR: Medical Image Super-Resolution With Autoregressive Modeling
- Leakage-Safe Empirical Benchmarking of EEG-Based Machine Learning Pipelines for Dementia Classification
- Reading Less While Writing: A Closed-Form Bandwidth Dial for Streaming Multimodal Decoders
- Boosting Deepresearch and LongContext Ability with Self-Generated Deepresearch Rollouts Traces
- Condition aware learning enables robust prediction of oligonucleotide melting behavior across diverse chemistries and assay conditions
- Whose Judgments Count? Representation Gaps in Crowdsourced Content Moderation Produce Unequal Protection from Perceived Toxicity
- Federated Ensemble Forecasting Under Supply-Chain Market Volatility
- Mitigating Spectral Bias in Neural Operators for Underwater Transmission Loss Prediction
- DOW-KE: Anchor-Free Multi-Layer Knowledge Editing via Direct End-to-End Weight Optimization
- SW-ProxyCE: Zero-Query Adversarial Transfer from Public EEG Encoders to Private Downstream Models
- EMAN: Optimization-Driven Capacity Growth through Path Emergence in Multi-Task Learning
- Mr.Dec: Daily-Scale Longitudinal Multimodal Modeling for 30-Day Readmission Prediction
- Benchmarking Classical and Transformer-Based Models for Document Sensitivity Classification
- Hierarchical Data Selection via Manifold Coverage and Sparse Feature Coverage in LLM Post-training
- One Score, Two Decisions: Selective Prediction on the Rare-Disease Tail
- RouteTS: Frequency-Time Routing for Time Series Forecasting
- Automatic or Controlled? Repetition Priming Reveals Divergent Processing in Base LLMs, Instruct LLMs, and Humans
- Hard Cases, Bad Labels: Testing Error Exposure and Error Location in Uncertainty Sampling Under Bounded Label Noise
- Distribution-Free Conformal Prediction for Steel Fatigue Strength: Marginal Validity Is Not Enough
- MAGIC-SSCIL: Manifold Anchoring and Geometric Incremental Calibration for Semi-Supervised Class Incremental Learning
- LAVE: Latent Visual Evidence-Enhanced Planning for Video Tool-use Agents
- Predictive Failure Detection in Network Hardware Using Thermal Imaging and Deep Learning with Sensor Fusion
- MiGHT-EHR: A Multi-task Graph Transformer for Heterogeneous Temporal Electronic Health Records
- Fixed and Adaptive Topological DeepONets: Functional Measurements on Hausdorff Locally Convex Spaces
- Adversarial Causal Intervention Falsification
- NTDH: Complex Reasoning for Comprehensive Affective Analysis
- Sharding Prevents LLM Oversight Failures and Adversarial Exploitation
- Risk-Aware Decision Policies for Agents Under Noisy Perception
- Certified Feedforward Tracking for Unknown Nonlinear Systems via Invertible Neural Networks
- Latent Fact-Checking: Detecting Misinformation through Activation Engineering
- GenGA: Editable and Data-Grounded Graphical Abstract Generation for Academic Papers
- KV-Skill: Forging Expertise in the Model's Native Language
- Matrix Zonotopic Attention: A Context-Adaptive Value Projection for Set Transformers
- A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets
- Recursive Synthesis for Long-Horizon Terminal Tasks
- Effective pruning of task-trained recurrent neural networks using noisy fluctuations and connection rescaling
- A proximal subgradient method for nonconvex stochastic optimization under the Kurdyka-Lojasiewicz condition
- Stochasticity Is Not the Hard Part: Reduction and Complexity in Instructional Sequencing over Prerequisite DAGs
- Hybrid Probabilistic Zonotopes for Identifiable and Refinable Predictive Uncertainty
- Example-Guided Prompting for Document-Level Text Simplification
- SCP-NL2TL: Selective Conformal Prediction with Semantic Verification for Natural Language to Temporal Logic Specifications
- Discrete energy as an exact label-free training objective for finite-element surrogates
- The ethics of artificial intelligence in the life sciences: Universality, cultural diversity and an architecture of care
- Risk-Aware Quantile Learning for Personalized Dynamic Treatment Regimes
- Invisible Shortcuts: Why Vision Encoders Know Your Camera
- Why the Third Axis Is Freedom
- Can Open-Weight LLMs Produce Kernel-Verified Coq Proofs? A Pilot Study
- Perturbation Sensitivity at Convergence: A Simple Signal for Identifying Spuriously Correlated Samples
- Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation
- Spectral Distillation: From Nonlinear Dynamics to Linear State-Space Models
- Evaluating and Improving Pedagogical Fit in LLM-Based AI Tutors with the Pedagogical Suitability Index
- Adapting Vision Foundation Models with Cascaded Semantics
- Adaptive Arena-based Contestable Argumentative Network-of-Experts for Open-Ended Care Plan Coordination
- Velocity- and Regime-Aware Detection of Intraday Options Market Manipulation, with Explainable Attribution
- Counterfactual Analysis via Large Language Models
- The interface of intonation and lexical tone: Boundary phenomena in Mandarin varieties
- CASCADE: An Agentic Regulatory Network Framework for Patient-Data-Validated Downstream Perturbation Prediction
- DG-FedReuse: Proxy-Gradient-Gated Cached-Update Reuse with Matched Sparse Uplink Accounting
- LoDA: A Level of Detection Aware Method and a Multimodal Sensing Benchmark for Object Level Change Detection
- Evidence Lock Before Commitment: A Frozen Interface Degrades LLM-as-Judge Evaluation
- Multi-Agent Reinforcement Learning for Online Traffic Scheduling in Time-Sensitive Application
- Multi-Agent Transformer for Queue-Level XR Traffic Scheduling in TSN Networks
- Physics-Based Molecular Fingerprints from Spectral Graph Theory Provide Efficient Geometry-Aware Measures of Chemical Similarity
- Context Matters: Support Set Selection and Failure Detection for In-Context Medical Image Segmentation
- Computationally Efficient Collaborative Communication Via Regularity-Based Coarsening
- QEvict: Recoverable Quantized KV Eviction for Attention-Drift-Robust Long-Context Decoding
- Rectifying Geometric Misalignment: Online Source-Free Adaptation for Class-Imbalanced EEG
- Failing Gracefully: Mitigating Impact of Inevitable Robot Failures
- Evaluating Machine Learning Models for Post-Wildfire Debris-Flow Prediction
- OrchestraBench: Evaluating Multi-Agent Orchestration Failure Modes, Recovery, and Decomposition Quality
- IMMENSE: Inductive Multi-perspective User Classification in Social Networks
- Grad-CAM for Vision Transformers: A Systematic Taxonomy and Audit of Methodological Ambiguity in Explainable AI
- Posture and Sustainment Optimization Under Adversarial Uncertainty
- Beyond Rotations: AuroOFT for Expressive Quantized Orthogonal Fine-Tuning
- Beyond Full-Model Rollback: AuroSFT for Adapter-State Multi-Task Fine-Tuning
- LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs
- A Unified Causal Inference Framework for the Desirability of Outcome Ranking Paradigm in Benefit-Risk Evaluation
- Marginal Matching Does Not License Factorized Sampling: Auditing Conditional Style Leakage in Factorized Generative Models
- One Qubit Can Beat One Bit: Quantum Advantage for Post-Training Quantization
- Decoupling Perception from Description: Computation-Grounded Representation Alignment between Multivariate Time Series and Language
- PPDL: LLM-Based Flows as Probabilistic Programs
- Coherence-Oriented Dream Scene Visualisation
- Analysis of Numerical Localisation in LLM Translations
- Quality Diversity for Reliable Data Driven Time-Use Optimization
- TriQua: Reconciling Granularity and Context in Factuality Evaluation
- NeuroAdaptTrainer: A Fiji/ImageJ Plugin for YOLO-Based Neuron Segmentation, InteractiveCorrection and Transfer Learning
- Small Foundation Models of Human Cognition and Behaviour
- PD-GS: Phoneme-Driven 3DGS for Audio-Driven Talking Heads
- VLAff: Vision-Language-Affordance Model for Unified Actionable Affordances
- StyleComposer: Training-Free Multi-Reference Style Composition
- Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation
- MapTCL: Temporal Consistency Learning via Bidirectional Alignment for Vectorized HD Map Construction
- Otter: A Time-Aware, History-Conditioned Human Chess AI
- Abstract Event Causal Rules: Induction and Application
- From Continuous Predictors to Clinical Thresholds: Early Evidence on Performance Trade-offs of Guideline-Based Categorisation for Ischaemic Stroke Outcome Prediction
- ASTELD: A Six-Axis Classification Framework for Autonomous AI Agents - Design, Evaluation, and an OpenClaw Case Study
- CoCo-IR: Contextual Composed Image Retrieval
- Reasoning Core: Designing Broad Procedural Data for Completion-Supervised Reasoning Training
- Objects as Audio-Visual Modal Sound Fields
- SmartMage: Dynamic Modality Orchestration for 3D Scene Understanding
- The Loss Does Not See the Basis, but Adam Does
- Predicting Brain Morphometry with MT-GNN: Mesh Evolution in Continuous Time with Graph-Based Metric Tensor Embeddings
- SSTQ:Privacy-Preserving Vector Quantization via Subsampled Stochastic TurboQuant
- IRIS: A Visual Cortex-Inspired Framework for Analyzing Orientation Selectivity in Vision Transformers
- DASyR-LLM: Domain-Aware Symbolic Regression with LLMs for Kinetic Model Discovery
- Robust and Efficient Motion Reasoning for Privacy-Aware Classroom Incident Recognition
- Stable Density Ridges: Consistency and Convergence of Subspace Constrained Mean Shift
- Representational separation between unitary and channel quantum generative models via shared classical randomness at shallow depth
- CoPlan: A Trustworthy Co-Intelligence Interface for Care Planning through Role-Based Contestable Argument Graphs
- BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning
- ABSeeker: Training Long-Horizon Search Agents via Answer-Backtracked Credit Assignment
- HexMIL: Hierarchical Attention MIL for Ante-Hoc Explainable Detection of AI-Manipulated CT Volumes
- Lesion Detection in CT with Frozen Self-Distilled Features: SALT, a Spatially Adaptive Label-Guided Temperature
- Same Formulas, Different Semantics: Do Language Models Follow Modal Logic Specifications?
- MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning
- Item Response Theory for AI Safety
- Capability-Gated Planning: Cost-to-Goal Discovery and the Limits of Myopic Experiment Selection
- Optimizing What Policies Learn From: Recoverability-aware Rollout Intervention Learning
- MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation
- German parties shifted towards intuition-based rhetoric after the far right's parliamentary breakthrough
- Bag-of-Visual-Words for Spatial Mapping of Lung Adenocarcinoma Growth Patterns
- VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection
- Beyond Reprojection Error: Camera Calibration with 3D Targets
- Provable Limits and Certified Deferral for Verbalized Uncertainty in Small Language Models
- Hardware Design and Security in the Era of Chiplets and LLMs
- RepairFormer: Automated Repair of Structured Inputs Using Transformers
- MarsCast: Transfer Learning of AI Weather Foundation Models to Planetary Atmospheres
- The Effect of Perceived Race and Gender on Police Language Use: Experimental Evidence from VR Simulations
- OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing
- SparseDitto: An Agentic Sparse Compilation Framework through Architecture-Aware Synthesis on GPUs
- From Score Matrices to Football-Aware Match-State Simulation: An Auditable LLM Harness for Exact-Score Reranking
- Language Models Generalize to Human-like Word Order Preferences
- Comparing SGLD and a fixed-noise predictor-corrector adaptation in canonical joint energy-based models on CIFAR-10
- Short-term load forecasting under EU-AI Act Requirements in Safety-Critical Environments: Results from a 41-day live challenge on the aggregated German transmission-grid load
- Algorithm-Driven SVARs: Navigating the Wilderness of Big Data
- Link prediction on multi-relational graphs from an influence propagation perspective
- Revealed Rationality: Label-Free Evaluation and Regularization from Representation Theorems
- Stochastic Emulation using Generalized Stratified Sampling for Performance-Based Risk Optimization of Structures
- DelusionEval: Measuring Delusion-Linked Behaviors in AI Chatbots
- Towards Physics of Multimodal Pretraining: Knowledge Flow, Modality Synergy, Early Unification, and Recipes
- ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration
- Promptable Animal Pose Tracking Across Species
- SciCode-Verified: How Benchmark Defects Underestimated the Scientific-Coding Ability of Language Models
- ContextMaster: Interactive Multi-Shot Video Creation via Fixed-Budget Sparse Context Routing
- Towards Valid B-Rep Generation: Training-Free Wireframe Anomaly Detection and Repair
- UG-UMRE: Uncertainty-Guided Modality Augmentation and Distributional Calibration for Unified Multimodal Relation Extraction
- A General Sufficient Condition for Rewriting Horn-ALCHI Atomic Queries into GQL
- A geometry-based deep equilibrium model for image restoration under multiplicative Gamma noise
- CheMLFlow: An Open-Source Platform for Cheminformatics and Materials Informatics Applications
- Reading Between the Frames of Multimodal Drivelology
- SVI-DAG: A Structured Variational Inference Approach to Bayesian Causal Discovery
- Optimal Training-Time Scaling in Gradual Adaptation
- Consistency-Driven Co-Evolution for Self-Supervised Cross-Representation Learning
- A Chain Is Only as Strong as Its Weakest Link: A Scoping Review of System Integration Audits in AI
- An active-learning framework for real-time depth perception from monocular vision streams
- Visual Representation Matters: Exploiting Temporal Differences in Video-to-Audio Generation
- Evaluation Pitfalls and Sparsity Limitations in LLM-based Confidence Estimates for Classification
- When Shared Rollouts Fail in Defensive Driving Evaluation: A NAVSIM Score Basis Audit
- Variational Bounds for Perceptron Learning from Structured Data
- Training Crossroads for Recurrent Vision Transformers: Recurrence, Neural ODEs, and Deep Supervision
- Preverbal Uninflected and Underived Roots in Mapudungun. Wuno and Its Implications
- Persistent Object Narratives for Token-Efficient Video Language Models
- Cooking beyond Frames: A Stereo Event Camera Dataset in the Kitchen
- The Neural Echo: A Signal Processing Perspective for Understanding Neural Networks
- Nonparametric Goodness-of-fit Testing under Covariate Shift
- Do Language Models Know Their Slang? Queer Slang Understanding in User-Generated Content
- RegisterBridgeMM: A Register-Centric Framework for RGB-Infrared Object Detection
- Robust Control under Stationary Ambiguity
- ContextWeave: A Real-World Workflow Benchmark
- Global Attention-Fused Image Cropping with Attention-Guided and Global-Aligned Crop Evaluator
- Rethinking Pixel Mean Flows via Interval Denoiser
- StaticSegFormer: An Efficient High-Performance Semantic Segmentation Based on Static Structured Pruning
- Segmentation Pre-training for Label-Efficient Lumbar Spine Degeneration Grading
- A Modular Part-of-Speech Tagger for Scottish Gaelic using spaCy
- MGSB: Manifold Gated Signature Branch Pressure-Domain Baseline Architecture for Two-Phase Pipeline Flows Under Distributional Shift
- Multi-Modal, Multi-Temporal Geospatial Foundation Models Improve Global Above-Ground Biomass Estimation
- On the Effectiveness of Adaptation Strategies for VLM-Based Federated Learning in Remote Sensing
- Reachability in 3-VAS
- RepoProbe: Benchmarking Architecture-Aware Repository Comprehension with Checklists
- Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations
- IMFACT: Counterfactual Explanations for Time Series via Intrinsic Mode Function Substitution
- NSF-HRPT: Neural Semantic Field meets Hierarchical Risk Perception Tree for Safety-Critical Scenario Assessment
- Guideline-as-Oracle: Zero-Annotation Training of an Ophthalmic Telephone Triage Agent
- FUSEP: A Multi-Center Benchmark for Diverse Tasks in Early Pregnancy Fetal Ultrasound Screening
- Splat-Based Metal Artifact Reduction in Cone-Beam CT via Compact Attenuation Modeling
- Attention, Anomalies! Handling Attention Layers in Unsupervised Federated Outlier Detection
- Revisiting Pose Sensitivity in Splat-based Computed Tomography under Sparse-view Reconstruction
- Simile Understanding in Text-to-Image Models: An Evaluation Framework
- Dense Metric Depth Completion from Sparse Direct Time-of-Flight Sensors
- A GitOps-Driven Annotation Catalog for Fully Automatic Railway Operations
- Multi-View Face and Gesture Animation with Dynamic Gaussians
- YOLOv14: Adaptive Real-Time Object Detection for Diverse Imaging Conditions
- What We Observe as LLM Behavior Can Be a Side-effect of Inference Backend
- A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction
- Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series
- A Multi-Sensor Dataset for Monitoring the Operational Environment of Rail Vehicles
- IslamicTurathBench: A Multi-Task, Multi-Discipline Benchmark for Evaluating Large Language Models on the Islamic Scholarly Tradition (turath)
- Design Choices That Matter: A Functional ANOVA Analysis for Remote Sensing Multi-Label Classification
- Traceable LLM-Generated Hazard Scenarios for Operational Safety Analysis of Aviation Systems Using ASRS Reports
- The Sample Complexity of Distributionally Robust PAC Learning under Cressie--Read Divergences
- MOAT: Model-Agnostic Randomized Transformations for preventing Efficiency Degradation Attacks on ViTs
- Kathleen Writes: Autoregressive Generation and Data Scaling Without Attention
- Diverse and Plausible Algorithmic Recourse via Tractable Recourse Distributions
- SurgNarrator: A Generative Retrieval Framework for Surgical Video Understanding
- Differential 6-DOF Pose Estimation with Provable First-Order Immunity to Camera Calibration Errors
- Differentiating Through Dual Prices: End-to-End Policy Learning Under Capacity Constraints
- Automatic Statistical Test for Rationally Expressible Algorithms by Selective Inference, with Applications to Feature Selection
- Calibrating Artificial Guilt: Neurally Grounded Reward Shaping for Prosocial Multi-Agent Reinforcement Learning
- CSGen: A Multi-Domain Curvilinear Structure Generation Model via Hierarchical Multimodal Diffusion
- DisMix: Order-Aware Mixup for Medical Imaging via Disentangling Ordinal and Non-Ordinal Features
- Active Learning Guided Design Space Refinement for Scalable Multi-Objective Bayesian Optimization in Materials Discovery
- YOLO-PVC: 2D-to-3D Consolidation of Slice-wise Detections for Volumetric Liver Tumor Localization in MRI
- AI Literacy for Legal Translation: Developing Digital Resilience
- A/B Agent: A Self-Evolving Agent for Strategy Iteration in Industrial A/B Testing
- Visual Anchoring in Diffusion: Multimodal Zero-Shot Skeleton Action Recognition
- DAC-Pose: Dual-Agent Collaborative Framework for Pose-Guided Human Generation
- Agreement Before Diversity: Verification-First Complementarity for Heterogeneous Language-Model Coordination
- An entropic explanation of insistence on sameness in autism
- Why Ranking Anomaly Detection Algorithms Isn't as Reliable as You May Think
- The Order Is the Guarantee: Verifier-Budgeted Code Deletion with Static-First Learned Proposals
- On MUON optimization: From non-convergence to an error analysis with Polar Express and the Newton-Schulz polynomial from implementations
- TRCoRSurg: Temporal-Relational Co-Reasoning for Surgical Video Triplet Recognition
- COSMO: Consensus-Driven Shift Modulation for Source-Free Domain Adaptation
- Rethinking Reservoir Pruning: A Dynamical Perspective for Echo State Networks
- MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding
- ACA-GS: Adaptive-Capacity Anchored Gaussian Splatting for Compact Dynamic Radiance Fields
- Causal Evidence Extraction and Triangulation in Crisis Reports using Large Language Models: A ReliefWeb-based Study
- The Personalization Mirage: How LLMs Fabricate User Profiles, and Why Self-Monitoring Misleads
- Talk2Sensors: 3D Visual Grounding in Autonomous Driving via Sensor-Adaptive Physical Cue Matching
- What Is a Skill Worth? Structure-Aware Shapley Valuation of Agent Skills
- OutLangSplat: 3D Language Gaussian Splatting for UAV Outdoor Scenes
- ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection
- Representing Visual Evidence for Item Difficulty Prediction: Visual Textualization and Image-Native Modeling
- Relational Response Fields: A General Theory of Black-Box LLM Response Consistency and Recovery
- EuroExec: Frontier Language Models Fall Short of Expert Judgment on European Executive Decision Tasks
- Learning Compression Rules for Network Traffic
- EgoAfford: Task-Oriented Affordance Grounding via Egocentric Referring Segmentation
- RESPClinBench: Benchmarking Multimodal Clinical Decision-Making and Longitudinal Disease Management in Respiratory Specialty Care
- Privacy-Preserving Action Recognition: Taxonomy, Methods, and Privacy-Utility Trade-offs
- Energy- and Memory-Efficient PEFT Methods for Personalized On-Device SLMs on Consumer GPUs
- REZE: Recognition-Based Zero-Shot Extraction for Video Temporal Grounding
- AudioScape-TTA: A Structured Soundscape Benchmark for Fine-Grained Text-to-Audio Evaluation
- DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models
- Local Violation Certification for Linear Predict-Then-Optimize Pipelines
- Beyond Linear Dynamics: Neural Bilinear Dynamical Models for Time Series Forecasting
- The Evaluator Is Part of the Experiment: Measuring Open-Ended LLM Conformity
- CLEARMIND: Closed-Form Laplacian Embeddings of Arakelov-Green Resistance for Morphological Intrinsic Neuronal Distances
- Eigenius: A Typed Knowledge-Graph DBMS with Epistemic Stratification and Institution-Mediated Reasoning
- Multi-Objective Ranking for Live-Streaming: Balancing Fresh and Delayed Signals with Segment-Aware Targeting
- TwinIR: Coordinated Invisible Dual-Point Attacks on Online HD Map Construction
- A Counterexample to Fourier Alignment in Single-Neuron Modular Addition
- Robustness Emerges Early in Training Dynamics, but Is Not Preserved
- Season: Spectrum-Aware Orthogonal Gradient Refinement for Transfer-Based Adversarial Attacks
- ExeCRE: Execution-Consistency Guided Reliability Estimation for Self-Correcting Code Generation
- OmniRouting: A Semantic-Coupled Multimodal Benchmark for Constraint-Aware Spatial Reasoning in PCB Routing
- MERaLiON-GR: Speech Gender Recognition Model for English and SEA Languages
- The Price of Isolation: Estimating the Ecosystem Cost of Symmetric Two-Sided A/B Testing
- An adaptive split-combine Gaussian mixture filter for nonlinear and multimodal state estimation
- UBLLIE: Unified Backlight and Low-Light Image Enhancement
- Predict, Then Retrieve: Cross-Instance Future-State Retrieval from Video Prefixes
- Thinking with Anchors: Grounded and Efficient Document Reasoning
- Foreseeing the Invisible: Amodal Reconstruction of Leaf Fossil Images
- Generative Optimization for Incentivized Advertising with Global Level Constraints
- Incremental Aggregation on the Grassmannian for Asynchronous Eigenspace Computation
- Training-Free Hashing-Based Attention via Binary Principal Components
- Approximate Multi-Objective Search Under Rulebooks
- NOLLI: A Difficulty-Calibrated Puzzle Benchmark for Diagnosing the English-Korean Performance Gap
- When Proxy Prediction Becomes Equation Reconstruction: Diagnostics and Residual Learning for Factor-Derived Proxy Supervision
- EdgeLM: Edge Demonstrations for Language Models' Table Understanding
- NeuroPB: Scaling Neural Decoding with Pretrained Behavioral Representations
- Improving Auto-Design of Neural PDE Solvers with a Domain-Specific Language
- Non-asymptotic implicit bias of logistic regression at early-stage gradient descent dynamics
- NodeJEPA: Structure-Conditioned Latent Prediction for Node-Level Graph Self-Supervised Learning
- Image Classification Using CNN-QNN Hybrid Model with Optimized Correlated Features
- Towards Trustworthy Hypergraph Neural Networks under Label Noise
- FinReportBench: Measuring and Improving Institution-Grade Financial Report Generation
- EvtGraph: Event-Adaptive Compression for Sparse Temporal Graph Learning in Multimodal Time Series
- Manipulation-Proof Oblivious Audits against Deceptive Model Providers
- NeuMoSync: End-to-End Neuromodulatory Control for Plasticity and Adaptability in Continual Learning
- The Calibration Floor: Format Repair Can Masquerade as Self-Correction at Small-to-Mid Scale
- HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models
- iStructTab: Structured Feature Sequencing for Multimodal Learning of Image and Tabular Data
- Introspecting Alignment Shifts Beyond Behaviors Implanted Through Fine-Tuning
- Equitable System-Prompt Selection via Constrained Mixed-Strategy GroupDRO
- COMPAS: Difficulty-Aware Joint Search for Optimizing Code Generation
- Cost-Aware Multi-Objective Bandits: Theory and Application to Budgeted LLM Configuration Evaluation
- Right Reset: Chunking by Prefix Removal
- An Analysis and Implementation of Seam Carving for Content-Aware Image Resizing
- Real-time probabilistic tsunami forecasting via generative AI
- Efficient Online Lexicographic Generalized Low-Rank Matrix Bandits
- DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning
- Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle
- Achieving First-Order Statistical Improvements in Data-Driven Optimization: From No-Free-Lunch to Amplified Decision Perturbation
- ArborEnum: Decision Tree Rashomon Sets over Continuous Features
- MIDAS: Multi-LLM Iterative Data-Adaptive Summarization
- CLIP-CC-Bench: Evaluating Paragraph-Level Video Descriptions in Video-Language Models
- Searching for Sound-Meaning Collisions: Graph-Based Affordance Retrieval and Multi-Evaluator Ranking for Pun Translation at CLEF 2026 JOKER Task 2