Papers
Fri 13 Mar 2026
401 papers
- Separating Intelligence from Execution: A Workflow Engine for the Model Context ProtocolLLM agents and tool use → Tool learning and function calling
- Compile to Compress: Boosting Formal Theorem Provers by Compiler OutputsLLM reasoning → Mathematical reasoning
- Semantic Consensus: Process-Aware Conflict Detection and Resolution for Enterprise Multi-Agent LLM SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Governing the Agentic Enterprise: A Governance Maturity Model for Managing AI Agent Sprawl in Business OperationsLLM agents and tool use → Agent threats, guardrails and governance
- HR-Agents: Using Multiple LLM-based Agents to Improve Q&A about Brazilian Labor LegislationRetrieval-augmented generation → Legal and financial RAG +1
- Beyond Verifiable Rewards: Rubric-Based GRM for Reinforced Fine-Tuning SWE AgentsLLM agents and tool use → Software engineering coding agents +1
- Token-Budget-Aware Pool Routing for Cost-Efficient LLM InferenceEfficient LLM inference and serving → Serving systems and request scheduling
- TDA-RC: Task-Driven Alignment for Knowledge-Based Reasoning Chains in Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- Deciphering Scientific Reasoning Steps from Outcome Data for Molecule OptimizationLLM reasoning → Clinical and biomedical applications
- LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from PixelsWorld models → Latent predictive world models
- PrefPO: Pairwise Preference Prompt OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- MemReward: Graph-Based Experience Memory for LLM Reward Prediction with Limited LabelsLLM reasoning → Reinforcement learning for reasoning
- DRCY: Agentic Hardware Design ReviewsLLM agents and tool use → Software engineering coding agents
- I Know What I Don't Know: Latent Posterior Factor Models for Multi-Evidence Probabilistic ReasoningLLM reasoning → Test-time compute and efficient thinking
- Locatability-Guided Adaptive Reasoning for Image Geo-Localization with Vision-Language ModelsLLM reasoning → Spatial and embodied reasoning +2
- Design and evaluation of an agentic workflow for crisis-related synthetic tweet datasetsLLM agents and tool use → Social simulation and multi-agent debate
- Egocentric World Model for Photorealistic Hand-Object Interaction SynthesisWorld models → Embodied and robot world models
- LLM Routing as Reasoning: A MaxSAT ViewLLM reasoning → Test-time compute and efficient thinking
- NCCL EP: Towards a Unified Expert Parallel Communication API for NCCLMixture-of-experts → Efficient MoE training and inference systems
- Orla: A Library for Serving LLM-Based Multi-Agent SystemsLLM agents and tool use → Software engineering coding agents
- EnterpriseOps-Gym: Environments and Evaluations for Stateful Agentic Planning and Tool Use in Enterprise SettingsLLM agents and tool use → General LLM agent frameworks and benchmarks
- EmDT: Embedding Diffusion Transformer for Tabular Data Generation in Fraud DetectionDiffusion models → Flow matching, time series and science
- NumColor: Precise Numeric Color Control in Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
- CTI-REALM: Benchmark to Evaluate Agent Performance on Security Detection Rule Generation CapabilitiesLLM agents and tool use → Agent threats, guardrails and governance
- LibraGen: Playing a Balance Game in Subject-Driven Video GenerationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Purifying Generative LLMs from Backdoors without Prior Knowledge or Clean ReferenceLLM safety and security → Backdoor and data poisoning attacks
- LADR: Locality-Aware Dynamic Rescue for Efficient Text-to-Image Generation with Diffusion Large Language ModelsDiffusion models → Image generation, text-to-image and editing
- NormCode Canvas: Making LLM Agentic Workflows Development Sustainable via Case-Based ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- Improving Channel Estimation via Multimodal Diffusion Models with Flow MatchingDiffusion models → Diffusion for compression and wireless
- CtrlAttack: A Unified Attack on World-Model Control in Diffusion ModelsWorld models → Video-generation world models and simulators +1
- Spatially Grounded Long-Horizon Task Planning in the WildLLM reasoning → Spatial and embodied reasoning +1
- Self-Flow-Matching assisted Full Waveform InversionDiffusion models → Flow matching, time series and science
- Agent Privilege Separation in OpenClaw: A Structural Defense Against Prompt InjectionLLM agents and tool use → Agent threats, guardrails and governance +1
- From Gradients to Riccati Geometry: Kalman World Models for Single-Pass LearningWorld models → Latent dynamics models and model-based RL
- PhysMoDPO: Physically-Plausible Humanoid Motion with Preference OptimizationDiffusion models → Diffusion and flow policies for robotics +1
- Visual-ERM: Reward Modeling for Visual EquivalenceLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Out of Sight, Out of Mind? Evaluating State Evolution in Video World ModelsWorld models → Video-generation world models and simulators
- LLM Constitutional Multi-Agent GovernanceLLM agents and tool use → Social simulation and multi-agent debate
- Semantic Invariance in Agentic AILLM reasoning → Reasoning for agents, planning and code +1
- DiT-IC: Aligned Diffusion Transformer for Efficient Image CompressionDiffusion models → Diffusion foundations and sampling
- When Right Meets Wrong: Bilateral Context Conditioning with Reward-Confidence Correction for GRPOLLM reasoning → Reinforcement learning for reasoning
- Geometry-Guided Camera Motion Understanding in VideoLLMsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Evaluating VLMs' Spatial Reasoning Over Robot Motion: A Step Towards Robot Planning with Motion PreferencesLLM reasoning → Spatial and embodied reasoning
- Beyond Final Answers: CRYSTAL Benchmark for Transparent Multimodal Reasoning EvaluationLLM reasoning → Multimodal reasoning
- Reasoning over Video: Evaluating How MLLMs Extract, Integrate, and Reconstruct Spatiotemporal EvidenceLLM reasoning → Spatial and embodied reasoning
- Mitigating Memorization in Text-to-Image Diffusion via Region-Aware Prompt Augmentation and Multimodal Copy DetectionDiffusion models → Diffusion foundations and sampling
- Fractals made Practical: Denoising Diffusion as Partitioned Iterated Function SystemsDiffusion models → Diffusion foundations and sampling
- Topo-R1: Detecting Topological Anomalies via Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Mending the Holes: Mitigating Reward Hacking in Reinforcement Learning for Multilingual TranslationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- ESPIRE: A Diagnostic Benchmark for Embodied Spatial Reasoning of Vision-Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- Purify Once, Edit Freely: Breaking Image Protections under Model MismatchDiffusion models → Robustness, privacy and adversarial aspects +1
- PISmith: Reinforcement Learning-based Red Teaming for Prompt Injection DefensesLLM safety and security → Prompt injection and agent security
- SAW: Toward a Surgical Action World Model via Controllable and Scalable Video GenerationWorld models → Medical and surgical world models +1
- ARL-Tangram: Unleash the Resource Efficiency in Agentic Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
- Structured Distillation for Personalized Agent Memory: 11x Token Reduction with Retrieval PreservationLLM agents and tool use → Agent memory systems +1
- Accelerating Stroke MRI with Diffusion Probabilistic Models through Large-Scale Pre-training and Target-Specific Fine-TuningDiffusion models → Medical imaging and segmentation
- A Closed-Form Solution for Debiasing Vision-Language Models with Utility Guarantees Across Modalities and TasksMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- DAPD: Dependency-Aware Parallel Decoding via Attention for Diffusion LLMsEfficient LLM inference and serving → Diffusion LLM and MoE inference
- Test-Time Attention Purification for Backdoored Large Vision Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Exact Federated Continual Unlearning for Ridge Heads on Frozen Foundation ModelsLLM safety and security → Federated unlearning and poisoning
- Long-form RewardBench: Evaluating Reward Models for Long-form GenerationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Delta1 with LLM: symbolic and neural integration for credible and explainable reasoningLLM reasoning → Reasoning benchmarks and evaluation
- Editing Away the Evidence: Diffusion-Based Image Manipulation and the Failure Modes of Robust WatermarkingDiffusion models → Robustness, privacy and adversarial aspects +1
- ReMem-VLA: Empowering Vision-Language-Action Model with Memory via Dual-Level Recurrent QueriesVision-language-action models → Reasoning and chain-of-thought in VLA
- RoboStream: Weaving Spatio-Temporal Reasoning with Memory in Vision-Language Models for RoboticsLLM reasoning → Spatial and embodied reasoning +1
- Efficient and Interpretable Multi-Agent LLM Routing via Ant Colony OptimizationLLM agents and tool use → General LLM agent frameworks and benchmarks
- DS2-Instruct: Domain-Specific Data Synthesis for Large Language Models Instruction TuningSynthetic data and self-improvement for LLMs → Code and instruction data synthesis
- Rethinking VLMs for Image Forgery Detection and LocalizationLLM reasoning → Multimodal reasoning
- Stake the Points: Structure-Faithful Instance UnlearningLLM safety and security → Machine unlearning
- A theory of learning data statistics in diffusion models, from easy to hardDiffusion models → Diffusion foundations and sampling
- Finite Difference Flow Optimization for RL Post-Training of Text-to-Image ModelsDiffusion models → Diffusion and flow policies for robotics
- TRACE: Structure-Aware Character Encoding for Robust and Generalizable Document WatermarkingDiffusion models → Robustness, privacy and adversarial aspects
- Beyond Imitation: Reinforcement Learning Fine-Tuning for Adaptive Diffusion Navigation PoliciesDiffusion models → Diffusion and flow policies for robotics +1
- Composing Driving Worlds through Disentangled Control for Adversarial Scenario GenerationEnd-to-end autonomous driving → Generative simulation for driving
- Mask2Flow-TSE: Two-Stage Target Speaker Extraction with Masking and Flow MatchingDiffusion models → Audio, speech and music
- Rethinking Multiple-Choice Questions for RLVR: Unlocking Potential via Distractor DesignLLM reasoning → Reinforcement learning for reasoning
- NanoVDR: Distilling a 2B Vision-Language Retriever into a 70M Text-Only Encoder for Visual Document RetrievalMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Adaptive Vision-Language Model Routing for Computer Use AgentsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Context is all you need: Towards autonomous model-based process design using agentic AI in flowsheet simulationsLLM agents and tool use → Medical and scientific domain agents
- OARS: Process-Aware Online Alignment for Generative Real-World Image Super-ResolutionLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- A Multitask Large Reasoning Model for Molecular ScienceLLM reasoning → Clinical and biomedical applications
- FLUX: Accelerating Cross-Embodiment Generative Navigation Policies via Rectified Flow and Static-to-Dynamic LearningDiffusion models → Diffusion and flow policies for robotics
- What Makes VLMs Robust? Towards Reconciling Robustness and Accuracy in Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- SteerRM: Debiasing Reward Models via Sparse AutoencodersLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Cheers: Decoupling Patch Details from Semantic Representations Enables Unified Multimodal Comprehension and GenerationEfficient LLM inference and serving → Visual token pruning in multimodal models
- Think and Answer ME: Benchmarking and Exploring Multi-Entity Reasoning Grounding in Remote SensingLLM reasoning → Spatial and embodied reasoning
- PVI: Plug-in Visual Injection for Vision-Language-Action ModelsVision-language-action models → Efficient VLA inference and adaptation +1
- Easy-IIL: Reducing Human Operational Burden in Interactive Imitation Learning via Assistant ExpertsOffline RL and imitation learning from data → Imitation learning methods
- HIFICL: High-Fidelity In-Context Learning for Multimodal TasksMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- SLICE: Semantic Latent Injection via Compartmentalized Embedding for Image WatermarkingDiffusion models → Robustness, privacy and adversarial aspects
- Thinking in Dynamics: How Multimodal Large Language Models Perceive, Track, and Reason Dynamics in Physical 4D WorldLLM reasoning → Spatial and embodied reasoning +1
- ToolTree: Efficient LLM Agent Tool Planning via Dual-Feedback Monte Carlo Tree Search and Bidirectional PruningLLM agents and tool use → Tool learning and function calling
- AnchorVLA4D: an Anchor-Based Spatial-Temporal Vision-Language-Action Model for Robotic ManipulationLLM reasoning → Spatial and embodied reasoning +1
- Altered Thoughts, Altered Actions: Probing Chain-of-Thought Vulnerabilities in VLA Robotic ManipulationLLM reasoning → Spatial and embodied reasoning +1
- AI Planning Framework for LLM-Based Web AgentsLLM agents and tool use → Web, search, and research agents
- Cost-Efficient Multimodal LLM Inference via Cross-Tier GPU HeterogeneityMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- FGTR: Fine-Grained Multi-Table Retrieval via Hierarchical LLM ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- Experimental evidence of progressive ChatGPT models self-convergenceSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Colluding LoRA: A Compositional Vulnerability in LLM Safety AlignmentLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Vision Verification Enhanced Fusion of VLMs for Efficient Visual ReasoningLLM reasoning → Multimodal reasoning +1
All 401
- RetroReasoner: A Reasoning LLM for Strategic Retrosynthesis PredictionLLM reasoning → Clinical and biomedical applications
- TacVLA: Contact-Aware Tactile Fusion for Robust Vision-Language-Action ManipulationVision-language-action models → Tactile, force-aware and humanoid VLA
- AVION: Aerial Vision-Language Instruction from Offline Teacher to Prompt-Tuned NetworkMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- VGGT-World: Transforming VGGT into an Autoregressive Geometry World ModelWorld models → Video-generation world models and simulators
- From Sparse to Dense: Multi-View GRPO for Flow Models via Augmented Condition SpaceLLM reasoning → Reinforcement learning for reasoning
- 98× Faster LLM Routing Without a Dedicated GPU: Flash Attention, Prompt Compression, and Near-Streaming for the vLLM Semantic RouterEfficient LLM inference and serving → Serving systems and request scheduling
- LightMoE: Reducing Mixture-of-Experts Redundancy through Expert ReplacingMixture-of-experts → MoE large language models
- Uncovering Security Threats and Architecting Defenses in Autonomous Agents: A Case Study of OpenClawLLM agents and tool use → Agent threats, guardrails and governance
- RoboStereo: Dual-Tower 4D Embodied World Models for Unified Policy OptimizationWorld models → Embodied and robot world models
- Spend Less, Reason Better: Budget-Aware Value Tree Search for LLM AgentsLLM reasoning → Reasoning for agents, planning and code +1
- Joint Optimization of Multi-agent Memory SystemLLM agents and tool use → Agent memory systems
- VLM4Rec: Multimodal Semantic Representation for Recommendation with Large Vision-Language ModelsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- When Drafts Evolve: Speculative Decoding Meets Online LearningEfficient LLM inference and serving → Speculative decoding
- ChainFuzzer: Greybox Fuzzing for Workflow-Level Multi-Tool Vulnerabilities in LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- InterDeepResearch: Enabling Human-Agent Collaborative Information Seeking through Interactive Deep ResearchLLM agents and tool use → Web, search, and research agents
- CarPLAN: Context-Adaptive and Robust Planning with Dynamic Scene Awareness for Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- Neural Gate: Mitigating Privacy Risks in LVLMs via Neuron-Level Gradient GatingMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Feynman: Knowledge-Infused Diagramming Agent for Scalable Visual DesignsLLM agents and tool use → Multimodal and embodied agents
- Swap-guided Preference Learning for Personalized Reinforcement Learning from Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Multiscale Structure-Guided Latent Diffusion for Multimodal MRI TranslationDiffusion models → Medical imaging and segmentation
- Expert Pyramid Tuning: Efficient Parameter Fine-Tuning for Expertise-Driven Task AllocationMixture-of-experts → Mixture of LoRA experts
- AccelAes: Accelerating Diffusion Transformers for Training-Free Aesthetic-Enhanced Image GenerationDiffusion models → Image generation, text-to-image and editing
- Speech-Worthy Alignment for Japanese SpeechLLMs via Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- Sell Me This Stock: Unsafe Recommendation Drift in LLM AgentsLLM agents and tool use → Financial trading and forecasting agents
- Reinforcement Learning for Diffusion LLMs with Entropy-Guided Step Selection and Stepwise AdvantagesDiffusion models → Discrete and text diffusion
- Beyond Dense Futures: World Models as Structured Planners for Robotic ManipulationWorld models → Embodied and robot world models +1
- Decoding Matters: Efficient Mamba-Based Decoder with Distribution-Aware Deep Supervision for Medical Image SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Spatial Reasoning is Not a Free Lunch: A Controlled Study on LLaVALLM reasoning → Spatial and embodied reasoning +1
- Spatio-Semantic Expert Routing Architecture with Mixture-of-Experts for Referring Image SegmentationMixture-of-experts → Vision mixture-of-experts
- TERMINATOR: Learning Optimal Exit Points for Early Stopping in Chain-of-Thought ReasoningLLM reasoning → Test-time compute and efficient thinking
- Distributed Human Identity: AI-Enabled Multi-Existence Through Cognitive Replication and Robotic Embodiments
- Integration of Deep Reinforcement Learning and Agent-based Simulation to Explore Strategies Counteracting Information Disorder
- A Domain-Specific Language for LLM-Driven Trigger Generation in Multimodal Data Collection
- The Geometry of Knowing: From Possibilistic Ignorance to Probabilistic Certainty -- A Measure-Theoretic Framework for Epistemic Convergence
- Cross-Lingual Transfer and Parameter-Efficient Adaptation in the Turkic Language Family: A Theoretical Framework for Low-Resource Language Models
- Beyond Facts: Benchmarking Distributional Reading Comprehension in Large Language Models
- Thinking in Graphs with CoMAP: A Shared Visual Workspace for Designing Project-Based Learning
- Emergent decentralized regulation in a purely synthetic society
- Concentrated siting of AI data centers drives regional power-system stress under rising global compute demand
- The Illusion of Latent Generalization: Bi-directionality and the Reversal Curse
- Learning Energy-Efficient Air--Ground Actuation for Hybrid Robots on Stair-Like Terrain
- MuViS: Multimodal Virtual Sensing Benchmark
- FED-HARGPT: A Hybrid Centralized-Federated Approach of a Transformer-based Architecture for Human Context Recognition
- A Learnable SIM Paradigm: Fundamentals, Training Techniques, and Applications
- Response-Aware Risk-Constrained Control Barrier Function With Application to Vehicles
- Large Language Models and Scientific Discourse: Where's the Intelligence?
- JCAS-MARL: Joint Communication and Sensing UAV Networks via Resource-Constrained Multi-Agent Reinforcement Learning
- MiSiSUn: Minimum Simplex Semisupervised Unmixing
- GT-Space: Enhancing Heterogeneous Collaborative Perception with Ground Truth Feature Space
- Exploring Subnetwork Interactions in Heterogeneous Brain Network via Prior-Informed Graph Learning
- VERDICT: Verifiable Evolving Reasoning with Directive-Informed Collegial Teams for Legal Judgment Prediction
- PhyGile: Physics-Prefix Guided Motion Generation for Agile General Humanoid Motion Tracking
- Leveraging Large Vision Model for Multi-UAV Co-perception in Low-Altitude Wireless Networks
- Music Source Restoration with Ensemble Separation and Targeted Reconstruction
- MedArena: Comparing LLMs for Medicine-in-the-Wild Clinician Preferences
- Automated Self-Testing as a Quality Gate: Evidence-Driven Release Management for LLM Applications
- Theoretical Foundations of Latent Posterior Factors: Formal Guarantees for Multi-Evidence Reasoning
- UE5-Forest: A Photorealistic Synthetic Stereo Dataset for UAV Forestry Depth Estimation
- Privacy Preserving Topic-wise Sentiment Analysis of the Iran Israel USA Conflict Using Federated Transformer Models
- Causal Attribution via Activation Patching
- Benchmarking Large Language Models on Reference Extraction and Parsing in the Social Sciences and Humanities
- PLUME: Building a Network-Native Foundation Model for Wireless Traces via Protocol-Aware Tokenization
- StatePlane: A Cognitive State Plane for Long-Horizon AI Systems Under Bounded Context
- SemRep: Generative Code Representation Learning with Code Transformations
- Widespread Gender and Pronoun Bias in Moral Judgments Across LLMs
- BERTology of Molecular Property Prediction
- Privacy-Preserving Federated Fraud Detection in Payment Transactions with NVIDIA FLARE
- Robust Sequential Tracking via Bounded Information Geometry and Non-Parametric Field Actions
- A Grid-Based Framework for E-Scooter Demand Representation and Temporal Input Design for Deep Learning: Evidence from Austin, Texas
- The Equivalence Theorem: First-Class Relationships for Structurally Complete Database Systems
- A Causal Framework for Mitigating Data Shifts in Healthcare
- Opportunistic Cardiac Health Assessment: Estimating Phenotypes from Localizer MRI through Multi-Modal Representations
- Assessing the Utility of Volumetric Motion Fields for Radar-based Precipitation Nowcasting with Physics-informed Deep Learning
- State-space models through the lens of ensemble control
- An Empirical Investigation of Pre-Trained Deep Learning Model Reuse in the Scientific Process
- LingoMotion: An Interpretable and Unambiguous Symbolic Representation for Human Motion
- State Algebra for Probabilistic Logic
- Analytical Logit Scaling for High-Resolution Sea Ice Topology Retrieval from Weakly Labeled SAR Imagery
- DiveUp: Learning Feature Upsampling from Diverse Vision Foundation Models
- Privacy-Preserving Machine Learning for IoT: A Cross-Paradigm Survey and Future Roadmap
- MR-GNF: Multi-Resolution Graph Neural Forecasting on Ellipsoidal Meshes for Efficient Regional Weather Prediction
- Scalable Classification of Course Information Sheets Using Large Language Models: A Reusable Institutional Method for Academic Quality Assurance
- Task-Oriented Wireless Transmission of 3D Point Clouds: Geometric Versus Semantic Robustness
- Robust Automatic Differentiation of Square-Root Kalman Filters via Gramian Differentials
- Holographic Invariant Storage: Design-Time Safety Contracts via Vector Symbolic Architectures
- Performance evaluation of deep learning models for image analysis: considerations for visual control and statistical metrics
- Semantic Aware Feature Extraction for Enhanced 3D Reconstruction
- Ghosts of Softmax: Complex Singularities That Limit Safe Step Sizes in Cross-Entropy
- Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization
- The AI Fiction Paradox
- Exploring label correlations using decision templates for ensemble of classifier chains
- AMES: Approximate Multi-modal Enterprise Search via Late Interaction Retrieval
- Active Sampling Sample-based Quantum Diagonalization from Finite-Shot Measurements
- SAIF: A Stability-Aware Inference Framework for Medical Image Segmentation with Segment Anything Model
- Learning Actionable Manipulation Recovery via Counterfactual Failure Synthesis
- Hide and Seek: Investigating Redundancy in Earth Observation Imagery
- Eleven Primitives and Three Gates: The Universal Structure of Computational Imaging
- A Systematic Benchmark of GAN Architectures for MRI-to-CT Synthesis
- VoXtream2: Full-stream TTS with dynamic speaking rate control
- Executable Archaeology: Reanimating the Logic Theorist from its IPL-V Source
- MIRAGE: Model-agnostic Industrial Realistic Anomaly Generation and Evaluation for Visual Anomaly Detection
- Standard Acquisition Is Sufficient for Asynchronous Bayesian Optimization
- ActionPlan: Future-Aware Streaming Motion Synthesis via Frame-Level Action Planning
- Synthetic Melanoma Image Generation and Evaluation Using Generative Adversarial Networks
- Deep Invertible Autoencoders for Dimensionality Reduction of Dynamical Systems
- Equivalence of approximation by networks of single- and multi-spike neurons
- Resolving Interference (RI): Disentangling Models for Improved Model Merging
- Open World MRI Reconstruction with Bias-Calibrated Adaptation
- Reconciling In-Context and In-Weight Learning via Dual Representation Space Encoding
- Scalable Machines with Intrinsic Higher Mental-State Dynamics
- MESD: A Risk-Sensitive Metric for Explanation Fairness Across Intersectional Subgroups
- MGMAR: Metal-Guided Metal Artifact Reduction for X-ray Computed Tomography
- Diffusion-based Generative Machine Learning Model for Predicting Crack Propagation in Aluminum Nitride at the Atomic Scale
- Technical Case Study of Privacy-Enhancing Technologies (PETs) for Public Health
- Filtered Spectral Projection for Quantum Principal Component Analysis
- Bayesian Uncertainty-Aware MRI Reconstruction
- Draft-and-Target Sampling for Video Generation Policy
- Vision-Language Based Expert Reporting for Painting Authentication and Defect Detection
- Modality-free Graph In-context Alignment
- Spatial Transcriptomics as Images for Large-Scale Pretraining
- CHIMERA-Bench: A Benchmark Dataset for Epitope-Specific Antibody Design
- Dynamic Sparse Attention: Access Patterns and Architecture
- A Deformable Attention-Based Detection Transformer with Cross-Scale Feature Fusion for Industrial Coil Spring Inspection
- SWE-Milestone: Evaluating AI Agents on Continuous Software Evolution
- MIBench: Evaluating LMMs on Multimodal Interaction
- Outcome-Aware Tool Selection for Semantic Routers: Latency-Constrained Learning Without LLM Inference
- Representation Learning for Spatiotemporal Physical Systems
- Neuron-Aware Data Selection In Instruction Tuning For Large Language Models
- From Experiments to Expertise: Scientific Knowledge Consolidation for AI-Driven Computational Physics
- Learnability and Privacy Vulnerability are Entangled in a Few Critical Weights
- Towards Spatio-Temporal World Scene Graph Generation from Monocular Videos
- Diffusion-Based Feature Denoising and Using NNMF for Robust Brain Tumor Classification
- MXNorm: Reusing MXFP block scales for efficient tensor normalisation
- Clustering Astronomical Orbital Synthetic Data Using Advanced Feature Extraction and Dimensionality Reduction Techniques
- Perceive What Matters: Relevance-Driven Scheduling for Multimodal Streaming Perception
- Developing and evaluating a chatbot to support maternal health care
- Towards Faithful Multimodal Concept Bottleneck Models
- When Your Model Stops Working: Anytime-Valid Calibration Monitoring
- ESG-Bench: Benchmarking Long-Context ESG Reports for Hallucination Mitigation
- MineEvolve: Self-Evolution with Accumulated Knowledge for Long-Horizon Embodied Minecraft Agents
- Developing the PsyCogMetrics AI Lab to Evaluate Large Language Models and Advance Cognitive Science -- A Three-Cycle Action Design Science Study
- FDeID-Toolbox: Face De-Identification Toolbox
- NOIR: Neural Operator mapping for Implicit Representations
- ZO-SAM: Zero-Order Sharpness-Aware Minimization for Efficient Sparse Training
- BoSS: A Best-of-Strategies Selector as an Oracle for Deep Active Learning
- Panoramic Multimodal Semantic Occupancy Prediction for Quadruped Robots
- BenDFM: A taxonomy and synthetic CAD dataset for manufacturability assessment in sheet metal bending
- SldprtNet: A Large-Scale Multimodal Dataset for CAD Generation in Language-Driven 3D Design
- Breaking the Tuning Barrier: Zero-Hyperparameters Yield Multi-Corner Analysis Via Learned Priors
- V-Bridge: Bridging Video Generative Priors to Versatile Few-shot Image Restoration
- Linearized Attention Cannot Enter the Kernel Regime at Any Practical Width
- Human-in-the-Loop LLM Grading for Handwritten Mathematics Assessments
- InterEdit: Navigating Text-Guided 3D Dyadic Human Motion Editing
- Rooftop Wind Field Reconstruction Using Sparse Sensors: From Deterministic to Generative Learning Methods
- GeoChemAD: Benchmarking Unsupervised Geochemical Anomaly Detection for Mineral Exploration
- L2GTX: From Local to Global Time Series Explanations
- Competition-Aware CPC Forecasting with Near-Market Coverage
- Reference-Free Image Quality Assessment for Virtual Try-On via Human Feedback
- Team RAS in 10th ABAW Competition: Multimodal Valence and Arousal Estimation Approach
- Causal Cellular Context Transfer Learning (C3TL): An Efficient Architecture for Prediction of Unseen Perturbation Effects
- 3DTCR: A Physics-Based Generative Framework for Vortex-Following 3D Reconstruction to Improve Tropical Cyclone Intensity Forecasting
- Convergence Rate of a Functional Learning Method for Contextual Stochastic Optimization
- GP-VM×SMA: Benchmarking General-Purpose Vision Models and Specialized Architectures for 2D Medical Image Segmentation
- OpenACMv2: An Accuracy-Constrained Co-Optimization Framework for Approximate DCiM
- Interpretable Semantic Gradients in SSD: A PCA Sweep Approach and a Case Study on AI Discourse
- Federated Few-Shot Learning on Neuromorphic Hardware: An Empirical Study Across Physical Edge Nodes
- Interrogating Design Homogenization in Web Vibe Coding
- Association-Aware GNN for Precoder Learning in Cell-Free Systems
- Multimodal OCR: Parse Anything from Documents
- SortScrews: A Dataset and Baseline for Real-time Screw Classification
- daVinci-Env: Open SWE Environment Synthesis at Scale
- FraudFox: Adaptable Fraud Detection in the Real World
- Deconstructing the Failure of Ideal Noise Correction: A Three-Pillar Diagnosis
- Fair Lung Disease Diagnosis from Chest CT via Gender-Adversarial Attention Multiple Instance Learning
- Retrieval-Enhanced Real Estate Appraisal
- Is Human Annotation Necessary? Iterative MBR Distillation for Error Span Detection in Machine Translation
- SCOPE: Semantic Coreset with Orthogonal Projection Embeddings for Federated learning
- Efficient Real-World Autonomous Racing via Attenuated Residual Policy Optimization
- Reinforcing the Weakest Links: Modernizing SIENA with Targeted Deep Learning Integration
- Thinking in Streaming Video
- SGMatch: Semantic-Guided Non-Rigid Shape Matching with Flow Regularization
- MotionAnymesh: Physics-Grounded Articulation for Simulation-Ready Digital Twins
- ODRL Policy Comparison Through Normalisation
- HMS-BERT: Hybrid Multi-Task Self-Training for Multilingual and Multi-Label Cyberbullying Detection
- VIRD: View-Invariant Representation through Dual-Axis Transformation for Cross-View Pose Estimation
- Surprised by Attention: Predictable Query Dynamics for Time Series Anomaly Detection
- FedBPrompt: Federated Domain Generalization Person Re-Identification via Body Distribution Aware Visual Prompts
- Learning from Child-Directed Speech in Two-Language Scenarios: A French-English Case Study
- DirPA: Addressing Prior Shift in Imbalanced Few-shot Crop-type Classification
- Spectral-Geometric Neural Fields for Pose-Free LiDAR View Synthesis
- Human-Centered Evaluation of an LLM-Based Process Modeling Copilot: A Mixed-Methods Study with Domain Experts
- Forecasting Epileptic Seizures from Contactless Camera via Cross-Species Transfer Learning
- A protocol for evaluating robustness to H&E staining variation in computational pathology models
- Enhanced Drug-drug Interaction Prediction Using Adaptive Knowledge Integration
- Explainable AI Using Inherently Interpretable Components for Wearable-based Health Monitoring
- Test-time RL alignment exposes task familiarity artifacts in LLM benchmarks
- CLARIN-PT-LDB: An Open LLM Leaderboard for Portuguese to assess Language, Culture and Civility
- Surrogates for Physics-based and Data-driven Modelling of Parametric Systems: Review and New Perspectives
- Wear Classification of Abrasive Flap Wheels using a Hierarchical Deep Learning Approach
- On Linear Separability of the MNIST Handwritten Digits Dataset
- Team LEYA in 10th ABAW Competition: Multimodal Ambivalence/Hesitancy Recognition Approach
- Hierarchical Reference Sets for Robust Unsupervised Detection of Scattered and Clustered Outliers
- Multimodal Protein Language Models for Enzyme Kinetic Parameters: From Substrate Recognition to Conformational Adaptation
- DAST: A Dual-Stream Voice Anonymization Attacker with Staged Training
- A New Kernel Regularity Condition for Distributed Mirror Descent: Broader Coverage and Simpler Analysis
- Hierarchical Dual-Change Collaborative Learning for UAV Scene Change Captioning
- coDrawAgents: A Multi-Agent Dialogue Framework for Compositional Image Generation
- From AI Weather Prediction to Infrastructure Resilience: A Real-Time Correction-Downscaling Framework for Tropical Cyclone Impact Forecasting
- Residual SODAP: Residual Self-Organizing Domain-Adaptive Prompting with Structural Knowledge Preservation for Continual Learning
- GLEAM: A Multimodal Imaging Dataset and HAMM for Glaucoma Classification
- Spectral Defense Against Resource-Targeting Attack in 3D Gaussian Splatting
- A Fractional Fox H-Function Kernel for Support Vector Machines: Robust Classification via Weighted Transmutation Operators
- HARMONI: Aligning Human and Scene Priors for Multi-View 4D Reconstruction
- Generalized Recognition of Basic Surgical Actions Enables Skill Assessment and Vision-Language-Model-based Surgical Planning
- Upper Bounds for Local Learning Coefficients of Three-Layer Neural Networks
- The RIGID Framework: Research-Integrated, Generative AI-Mediated Instructional Design
- Empowering Semantic-Sensitive Underwater Image Enhancement with VLM
- SectEval: Evaluating the Latent Sectarian Preferences of Large Language Models
- Catalyst4D: High-Fidelity 3D-to-4D Scene Editing via Dynamic Propagation
- SAVA-X: Ego-to-Exo Imitation Error Detection via Scene-Adaptive View Alignment and Bidirectional Cross View Fusion
- TerraFlow: Multimodal, Multitemporal Representation Learning for Earth Observation
- SAP: Segment Any 4K Panorama
- FC-Track: Overlap-Aware Post-Association Correction for Online Multi-Object Tracking
- AI Model Modulation with Logits Redistribution
- A Method for Learning Large-Scale Computational Construction Grammars from Semantically Annotated Corpora
- Taming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systems
- Show, Don't Tell: Detecting Novel Objects by Watching Human Videos
- TaoBench: Do Automated Theorem Prover LLMs Generalize Beyond MathLib?
- MoKus: Leveraging Cross-Modal Knowledge Transfer for Knowledge-Aware Concept Customization
- SRAM-Based Compute-in-Memory Accelerator for Linear-decay Spiking Neural Networks
- VecMol: Vector-Field Representations for 3D Molecule Generation
- On Using Machine Learning to Early Detect Catastrophic Failures in Marine Diesel Engines
- Anchored Alignment: Preventing Positional Collapse in Multimodal Recommender Systems
- Graph In-Context Operator Networks for Generalizable Spatiotemporal Prediction
- SciDesignBench: Benchmarking and Improving Language Models for Scientific Inverse Design
- CognitionCapturerPro: Towards High-Fidelity Visual Decoding from EEG/MEG via Multi-modal Information and Asymmetric Alignment
- CMHANet: A Cross-Modal Hybrid Attention Network for Point Cloud Registration
- IGASA: Integrated Geometry-Aware and Skip-Attention Modules for Enhanced Point Cloud Registration
- The COTe score: A decomposable framework for evaluating Document Layout Analysis models
- UNIStainNet: Foundation-Model-Guided Virtual Staining of H&E to IHC
- Deep Learning Based Estimation of Blood Glucose Levels from Multidirectional Scleral Blood Vessel Imaging
- Design-Specification Tiling for ICL-based CAD Code Generation
- Text-Phase Synergy Network with Dual Priors for Unsupervised Cross-Domain Image Retrieval
- HFP-SAM: Hierarchical Frequency Prompted SAM for Efficient Marine Animal Segmentation
- SVCBench: A Streaming Video Counting Benchmark for Spatial-Temporal State Maintenance
- Seeing Eye to Eye: Enabling Cognitive Alignment Through Shared First-Person Perspective in Human-AI Collaboration
- EvolveCoder: Evolving Test Cases via Adversarial Verification for Code Reinforcement Learning
- HaltNav: Reactive Visual Halting over Lightweight Topological Priors for Robust Vision-Language Navigation
- RXNRECer Enables Fine-grained Enzymatic Function Annotation through Active Learning and Protein Language Models
- HSEmotion Team at ABAW-10 Competition: Facial Expression Recognition, Valence-Arousal Estimation, Action Unit Detection and Fine-Grained Violence Classification
- CM-Bench: A Comprehensive Cross-Modal Feature Matching Benchmark Bridging Visible and Infrared Images
- STRAP-ViT: Segregated Tokens with Randomized -- Transformations for Defense against Adversarial Patches in ViTs
- RSONet: Region-guided Selective Optimization Network for RGB-T Salient Object Detection
- Federated Hierarchical Clustering with Automatic Selection of Optimal Cluster Numbers
- G2HFNet: GeoGran-Aware Hierarchical Feature Fusion Network for Salient Object Detection in Optical Remote Sensing Images
- MetaKE: Meta-Learning for Knowledge Editing Toward a Better Accuracy-Editability Trade-off
- Parameterized Temporal Extrapolation of PDEs via Disentangled Latent Dynamics Manifold Fusion
- Marker-Based 3D Reconstruction of Aggregates with a Comparative Analysis of 2D and 3D Morphologies
- From Text to Forecasts: Bridging Modality Gap with Temporal Evolution Semantic Space
- Learning Geometric and Photometric Features from Panoramic LiDAR Scans for Outdoor Place Categorization
- Beyond Static Models: An Evolving Framework for Continual Learning in Large Language Models across Training Stages
- VFM-Recon: Unlocking Cross-Domain Scene-Level Neural Reconstruction with Scale-Aligned Foundation Priors
- Sobolev--Ricci Curvature
- LR-SGS: Robust LiDAR-Reflectance-Guided Salient Gaussian Splatting for Self-Driving Scene Reconstruction
- Self-Supervised Speech Models Encode Phonetic Context via Position-dependent Orthogonal Subspaces
- Using a Human-AI Teaming Approach to Create and Curate Scientific Datasets with the SCILIRE System
- Weakly Time-Coupled Approximation of Markov Decision Processes
- Adaptive Diffusion Posterior Sampling for Data and Model Fusion of Complex Nonlinear Dynamical Systems
- The Economics of AI Supply Chain Regulation
- Towards unified brain-to-text decoding across speech production and perception
- Batched Kernelized Bandits: Refinements and Extensions
- Prompt-Driven Lightweight Foundation Model for Instance Segmentation-Based Fault Detection in Freight Trains
- Human-AI Collaborative Autonomous Experimentation With Proxy Modeling for Comparative Observation
- Literary Narrative as Moral Probe : A Cross-System Framework for Evaluating AI Ethical Reasoning and Refusal Behavior
- FastDSAC: Unlocking the Potential of Maximum Entropy RL in High-Dimensional Humanoid Control
- Mastering Negation: Boosting Grounding Models via Grouped Opposition-Based Learning
- A2Z-10M+: Geometric Deep Learning with A-to-Z BRep Annotations for AI-Assisted CAD Modeling and Reverse Engineering
- A Prediction-as-Perception Framework for 3D Object Detection
- Optimize Wider, Not Deeper: Consensus Aggregation for Policy Optimization
- Maximizing Incremental Information Entropy for Contrastive Learning
- Early Pruning for Public Transport Routing
- CA-HFP: Curvature-Aware Heterogeneous Federated Pruning with Model Reconstruction
- SDF-Net: Structure-Aware Disentangled Feature Learning for Opticall-SAR Ship Re-identification
- MRGeo: Robust Cross-View Geo-Localization of Corrupted Images via Spatial and Channel Feature Enhancement
- Deferred is Better: A Framework for Multi-Granularity Deferred Interaction of Heterogeneous Features
- RTD-Guard: A Black-Box Textual Adversarial Detection Framework via Replacement Token Detection
- DINOLight: Robust Ambient Light Normalization with Self-supervised Visual Prior Integration
- A Spectral Revisit of the Distributional Bellman Operator under the Cram'er Metric
- LMEB: Long-horizon Memory Embedding Benchmark
- Foundation-Model Surrogates Enable Data-Efficient Active Learning for Materials Discovery
- Variational Garrote for Sparse Inverse Problems
- Lyapunov Stable Graph Neural Flow
- Scaling Laws and Pathologies of Single-Layer PINNs: Network Width and PDE Nonlinearity
- Asymptotic and Finite-Time Guarantees for Langevin-Based Temperature Annealing in InfoNCE
- CVGL: Causal Learning and Geometric Topology
- Deep Distance Measurement Method for Unsupervised Multivariate Time Series Similarity Retrieval
- CALF: Communication-Aware Learning Framework for Distributed Reinforcement Learning
- As Language Models Scale, Low-order Linear Depth Dynamics Emerge
- Embedded Quantum Machine Learning in Embedded Systems: Feasibility, Hybrid Architectures, and Quantum Co-Processors
- Do You See What I Am Pointing At? Gesture-Based Egocentric Video Question Answering
- Mixing Makes Markovian Contexts Cheap for Linear Bandits