Papers
Fri 20 Mar 2026
415 papers
- Can LLM Agents Simulate Dynamic Networks? A Case Study on Email Networks with Phishing SynthesisLLM agents and tool use → Agent threats, guardrails and governance
- PersonaVLM: Long-Term Personalized Multimodal LLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- OmniTrace: A Unified Framework for Generation-Time Attribution in Omni-Modal LLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- LiveClawBench: Benchmarking LLM Agents on Complex, Real-World Assistant TasksLLM agents and tool use → Tool learning and function calling
- Detection Without Correction: A Robust Asymmetry in Activation-Based Hallucination ProbingMechanistic interpretability → Hallucination detection from model internals
- Fighting AI with AI: AI-Agent Augmented DNS Blocking of LLM Services during Student EvaluationsLLM agents and tool use → Educational agents and math problem solving
- Decomposable Reward Modeling and Realistic Environment Design for Reinforcement Learning-Based Forex TradingLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- Mixture of Experts with Soft Nearest Neighbor Loss: Resolving Expert Collapse via Representation DisentanglementMixture-of-experts → Vision mixture-of-experts
- Contextual inference from single objects in Vision-Language modelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- From Instructions to Assistance: a Dataset Aligning Instruction Manuals with Assembly Videos for Evaluating Multimodal LLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Geometric Mixture-of-Experts with Curvature-Guided Adaptive Routing for Graph Representation LearningMixture-of-experts → MoE for time series and graphs
- Emergency Preemption Without Online Exploration: A Decision Transformer ApproachOffline RL and imitation learning from data → Imitation and offline RL for driving
- When Negation Is a Geometry Problem in Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Understanding Behavior Cloning with Action QuantizationOffline RL and imitation learning from data → Imitation learning methods
- An Industrial-Scale Retrieval-Augmented Generation Framework for Requirements Engineering: Empirical Evaluation with Automotive Manufacturing DataRetrieval-augmented generation → RAG pipeline design and evaluation
- Memory Over Maps: 3D Object Localization Without ReconstructionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Does This Gradient Spark Joy?Deep reinforcement learning methods → RL theory and sample complexity
- Delightful Distributed Policy GradientDeep reinforcement learning methods → RL theory and sample complexity
- Grounded Chess Reasoning in Language Models via Master DistillationLLM reasoning → Reasoning for agents, planning and code
- Measuring Weak-to-Strong Legibility of Reasoning ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- AE-LLM: Adaptive Efficiency Optimization for Large Language ModelsMixture-of-experts → MoE large language models
- CREG: Compass Relational Evidence Graph for Characterizing Directional Structure in VLM Spatial-Reasoning AttributionLLM reasoning → Spatial and embodied reasoning +1
- DiffGraph: An Automated Agent-driven Model Merging Framework for In-the-Wild Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
- Diffutron: A Masked Diffusion Language Model for Turkish LanguageDiffusion models → Discrete and text diffusion
- Regret Bounds for Reinforcement Learning from Multi-Source Imperfect PreferencesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- Solver-Aided Verification of Policy Compliance in Tool-Augmented LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- A Training-Free Regeneration Paradigm: Contrastive Reflection Memory Guided Self-Verification and Self-ImprovementSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- Deep reflective reasoning in interdependence constrained structured data extraction from clinical notes for digital healthLLM reasoning → Clinical and biomedical applications
- Coding Agents are Effective Long-Context ProcessorsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Thinking in Different Spaces: Domain-Specific Latent Geometry Survives Cross-Architecture TranslationLLM reasoning → Mathematical reasoning
- KV Cache Optimization Strategies for Scalable and Efficient LLM InferenceEfficient LLM inference and serving → KV cache optimization
- SymCircuit: Bayesian Structure Inference for Tractable Probabilistic Circuits via Entropy-Regularized Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Uni-Classifier: Leveraging Video Diffusion Priors for Universal Guidance ClassifierDiffusion models → Diffusion foundations and sampling
- The production of meaning in the processing of natural languageMechanistic interpretability → Knowledge and representations inside LLMs
- Memory poisoning and secure multi-agent systemsLLM agents and tool use → Agent threats, guardrails and governance
- ContractSkill: Repairable Contract-Based Skills for Multimodal Web AgentsLLM agents and tool use → Web, search, and research agents
- Graph-Aware Stealthy Poison-Text Backdoors for Text-Attributed GraphsLLM safety and security → Backdoor and data poisoning attacks
- Probing the Latent World: Emergent Discrete Symbols and Physical Structure in Latent RepresentationsWorld models → Video-generation world models and simulators
- When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM PipelinesLLM agents and tool use → General LLM agent frameworks and benchmarks
- MME-CoF-Pro: Evaluating Reasoning Coherence in Video Generative Models with Text and Visual HintsLLM reasoning → Multimodal reasoning
- LumosX: Relate Any Identities with Their Attributes for Personalized Video GenerationDiffusion models → Video generation
- Wildfire Spread Scenarios: Increasing Sample Diversity of Segmentation Diffusion Models with Training-Free MethodsDiffusion models → Diffusion foundations and sampling
- Improving Image-to-Image Translation via a Rectified Flow ReformulationDiffusion models → Image generation, text-to-image and editing
- VideoSeek: Long-Horizon Video Agent with Tool-Guided SeekingLLM agents and tool use → Multimodal and embodied agents
- AI Agents Can Already Autonomously Perform Experimental High Energy PhysicsLLM agents and tool use → Web, search, and research agents
- Measuring Faithfulness Depends on How You Measure: Classifier Sensitivity in LLM Chain-of-Thought EvaluationLLM reasoning → Prompting and chain-of-thought reasoning
- Learning Dynamic Belief Graphs for Theory-of-mind ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- EgoForge: Goal-Directed Egocentric World SimulatorWorld models → Embodied and robot world models
- Beyond Single Tokens: Distilling Discrete Diffusion Models via Discrete MMDDiffusion models → Diffusion foundations and sampling
- Can Large Multimodal Models Inspect Buildings? A Hierarchical Benchmark for Structural Pathology ReasoningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- AGILE: A Comprehensive Workflow for Humanoid Loco-Manipulation LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Reasoning Gets Harder for LLMs Inside A DialogueLLM reasoning → Reasoning benchmarks and evaluation
- An Agentic Multi-Agent Architecture for Cybersecurity Risk ManagementLLM agents and tool use → Agent threats, guardrails and governance
- Evolving Jailbreaks: Automated Multi-Objective Long-Tail Attacks on Large Language ModelsLLM safety and security → Jailbreaking
- Chain-of-Adaptation: Surgical Vision-Language Adaptation with Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Trojan horse hunt in deep forecasting models: Insights from the European Space Agency competitionLLM safety and security → Backdoor and data poisoning attacks
- Pitfalls in Evaluating Interpretability AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- An Empirical Study of SFT-DPO Interaction and Parameterization in Small Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- How Out-of-Equilibrium Phase Transitions can Seed Pattern Formation in Trained Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Agentic Harness for Real-World CompilersLLM agents and tool use → Software engineering coding agents
- MFil-Mamba: Multi-Filter Scanning for Spatial Redundancy-Aware Visual State Space ModelsState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Fine-tuning Timeseries Predictors Using Reinforcement LearningDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Structured Latent Dynamics in Wireless CSI via Homomorphic World ModelsWorld models → Latent predictive world models
- Experience is the Best Teacher: Motivating Effective Exploration in Reinforcement Learning for LLMsLLM reasoning → Reinforcement learning for reasoning
- Detached Skip-Links and R-Probe: Decoupling Feature Aggregation from Gradient Propagation for MLLM OCRLLM reasoning → Multimodal reasoning +1
- RouterKGQA: Specialized--General Model Routing for Constraint-Aware Knowledge Graph Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
- AgenticRS-EnsNAS: Ensemble-Decoupled Self-Evolving Architecture SearchSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
- Human-Level Text-to-SQL via Reinforcement Learning on Verified Data, Without Pipeline EngineeringDeep reinforcement learning methods → RL training of language and agent models
- An Agentic Approach to Generating XAI-NarrativesLLM agents and tool use → Multimodal and embodied agents
- MedSPOT: A Workflow-Aware Sequential Grounding Benchmark for Clinical GUIMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Breaking the Capability Ceiling of LLM Post-Training by Reintroducing Markov StatesLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- X-World: Controllable Ego-Centric Multi-Camera World Models for Scalable End-to-End DrivingWorld models → World models for autonomous driving +1
- Trojan's Whisper: Stealthy Manipulation of OpenClaw through Injected Bootstrapped GuidanceLLM agents and tool use → Agent threats, guardrails and governance +2
- Interpreting Reinforcement Learning Model Behavior via Koopman with ControlDeep reinforcement learning methods → RL theory and sample complexity
- HiPath: Hierarchical Vision-Language Alignment for Structured Pathology Report PredictionMultimodal LLMs / vision-language models → Medical vision-language models
- Timestep-Aware Block Masking for Efficient Diffusion Model InferenceDiffusion models → Diffusion foundations and sampling
- Memori: A Persistent Memory Layer for Efficient, Context-Aware LLM AgentsLLM agents and tool use → Agent memory systems
- SAGE: Sustainable Agent-Guided Expert-tuning for Culturally Attuned Translation in Low-Resource Southeast AsiaLLM agents and tool use → General LLM agent frameworks and benchmarks
- ReconMIL: Synergizing Latent Space Reconstruction with Bi-Stream Mamba for Whole Slide Image AnalysisState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- DALI: LLM-Agent Enhanced Dual-Stream Adaptive Leadership Identification for Group RecommendationsLLM agents and tool use → Agentic recommender systems
- Utility-Guided Agent Orchestration for Efficient LLM Tool UseLLM agents and tool use → General LLM agent frameworks and benchmarks
- What If Consensus Lies? Selective-Complementary Reinforcement Learning at Test TimeLLM reasoning → Reinforcement learning for reasoning +1
- On the Dynamics & Transferability of Latent Generalization during MemorizationMechanistic interpretability → Circuits and mechanistic analysis
- MedQ-Engine: A Closed-Loop Data Engine for Evolving MLLMs in Medical Image Quality AssessmentMultimodal LLMs / vision-language models → Medical vision-language models
- IsoCLIP: Decomposing CLIP Projectors for Efficient Intra-modal AlignmentMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- FIPO: Eliciting Deep Reasoning with Future-KL Influenced Policy OptimizationLLM reasoning → Reinforcement learning for reasoning
- HUGE-Bench: A Benchmark for High-Level UAV Vision-Language-Action TasksVision-language-action models → Aerial and drone VLA
- Geometric Risk Control for Vision-Language Model OCRMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Embodied Science: Closing the Discovery Loop with Agentic Embodied AILLM agents and tool use → Web, search, and research agents
- One Model, Two Minds: Task-Conditioned Reasoning for Unified Image Quality and Aesthetic AssessmentLLM reasoning → Multimodal reasoning +1
- FREAK: A Fine-grained Hallucination Evaluation Benchmark for Advanced MLLMsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Rethinking Ground Truth: A Case Study on Human Label Variation in MLLM BenchmarkingLLM reasoning → Reasoning benchmarks and evaluation
- FedPDPO: Federated Personalized Direct Preference Optimization for Large Language Model AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- PoC: Performance-oriented Context Compression for Large Language Models via Performance PredictionEfficient LLM inference and serving → Prompt and context compression
- Helix: A Dual-Helix Co-Evolutionary Multi-Agent System for Prompt Optimization and Question ReformulationLLM agents and tool use → General LLM agent frameworks and benchmarks
- LoopRPT: Reinforcement Pre-Training for Looped Language ModelsLLM reasoning → Test-time compute and efficient thinking
- WorldAgents: Can Foundation Image Models be Agents for 3D World Models?World models → Video-generation world models and simulators +1
- DataProphet: Demystifying Supervision Data Generalization in Multimodal LLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- A Subgoal-driven Framework for Improving Long-Horizon LLM AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- GoAgent: Group-of-Agents Communication Topology Generation for LLM-based Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
All 415
- ATHENA: Adaptive Test-Time Steering for Improving Count Fidelity in Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- DynFlowDrive: Flow-Based Dynamic World Modeling for Autonomous DrivingWorld models → World models for autonomous driving +1
- Making Video Models Adhere to User Intent with Minor AdjustmentsDiffusion models → Video generation
- Load--Reserve Wasserstein Propagation for Isotropic Diffusion SamplersDiffusion models → Diffusion foundations and sampling
- The Residual Stream Is All You Need: On the Redundancy of the KV Cache in Transformer InferenceEfficient LLM inference and serving → KV cache optimization
- CS-MUNet: A Channel-Spatial Dual-Stream Mamba Network for Multi-Organ SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- PolicySim: An LLM-Based Agent Social Simulation Sandbox for Proactive Policy OptimizationLLM agents and tool use → Social simulation and multi-agent debate
- Heavy-Tailed and Long-Range Dependent Noise in Stochastic Approximation: A Finite-Time AnalysisDeep reinforcement learning methods → RL theory and sample complexity
- OmniDiT: Extending Diffusion Transformer to Omni-VTON FrameworkDiffusion models → 3D, point cloud and scene generation
- HyEvo: Self-Evolving Hybrid Agentic Workflows for Efficient ReasoningLLM reasoning → Reasoning for agents, planning and code +2
- BEAVER: A Training-Free Hierarchical Prompt Compression Method via Structure-Aware Page SelectionEfficient LLM inference and serving → Prompt and context compression
- ContractionPPO: Certified Reinforcement Learning via Differentiable Contraction LayersDeep reinforcement learning methods → RL for robot locomotion and manipulation
- DeepStock: Reinforcement Learning with Policy Regularizations for Inventory ManagementDeep reinforcement learning methods → RL for energy, networks and operations
- OrbitNVS: Harnessing Video Diffusion Priors for Novel View SynthesisDiffusion models → 3D, point cloud and scene generation
- ParallelVLM: Lossless Video-LLM Acceleration with Visual Alignment Aware Parallel Speculative DecodingEfficient LLM inference and serving → Fast autoregressive visual generation
- FlowScene: Style-Consistent Indoor Scene Generation with Multimodal Graph Rectified FlowDiffusion models → 3D, point cloud and scene generation
- All-Mem: Agentic Lifelong Memory via Dynamic Topology EvolutionLLM agents and tool use → Agent memory systems
- PowerLens: Taming LLM Agents for Safe and Personalized Mobile Power ManagementLLM agents and tool use → GUI and mobile agents
- Skilled AI Agents for Embedded and IoT Systems DevelopmentLLM agents and tool use → General LLM agent frameworks and benchmarks
- PA2D-MORL: Pareto Ascent Directional Decomposition based Multi-Objective Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
- MagicSeg: Open-World Segmentation Pretraining via Counterfactural Diffusion-Based Auto-GenerationDiffusion models → Medical imaging and segmentation
- CurveStream: Boosting Streaming Video Understanding in MLLMs via Curvature-Aware Hierarchical Visual Memory ManagementMultimodal LLMs / vision-language models → Video understanding with MLLMs
- TextReasoningBench: Does Reasoning Really Improve Text Classification in Large Language Models?LLM reasoning → Reasoning benchmarks and evaluation
- Planning Autonomous Vehicle Maneuvering in Work Zones Through Game-Theoretic Trajectory GenerationEnd-to-end autonomous driving → Cooperative and V2X driving
- FDARxBench: Benchmarking Regulatory and Clinical Reasoning on FDA Generic Drug AssessmentLLM reasoning → Clinical and biomedical applications
- Same Voice, Different Lab: On the Homogenization of Frontier LLM Personalities
- Architecture of an AI-Based Automated Course of Action Generation System for Military Operations
- Algorithm Selection with Zero Domain Knowledge via Text Embeddings
- CSF: Black-box Fingerprinting via Compositional Semantics for Text-to-Image Models
- SetFlow: Generating Structured Sets of Representations for Multiple Instance Learning
- An Edge-Cloud Collaborative Architecture for Proactive Elderly Care: Real-Time Risk Assessment and Three-Level Emergency Response
- DeEscalWild: A Real-World Benchmark for Automated De-Escalation Training with SLMs
- EVE: A Domain-Specific LLM Framework for Earth Intelligence
- Curation of a Palaeohispanic Dataset for Machine Learning
- Leveraging Machine Learning Techniques to Investigate Media and Information Literacy Competence in Tackling Disinformation
- Can We Still Trace L1 Signals? Investigating the Resilience of Native Language Signals in the LLM Era
- Using LLM-as-a-Judge/Jury to Advance Scalable, Clinically-Validated Safety Evaluations of Model Responses to Users Demonstrating Psychosis
- Logic-Gated Time-Shared Feedforward Networks for Alternating Finite Automata: Exact Simulation and Learnability
- Smartphone-Based Identification of Unknown Liquids via Active Vibration Sensing
- AI in Work-Based Learning: Understanding the Purposes and Effects of Intelligent Tools Among Student Interns
- Multi-view Graph Convolutional Network with Fully Leveraging Consistency via Granular-ball-based Topology Construction, Feature Enhancement and Interactive Fusion
- SEAR: Schema-Based Evaluation and Routing for LLM Gateways
- The Nonverbal Gap: Toward Affective Computer Vision for Safer and More Equitable Online Dating
- A Multimodal Deep Learning Framework for Edema Classification Using HCT and Clinical Data
- Capability Safety as Datalog: A Foundational Equivalence
- An Annotation-to-Detection Framework for Autonomous and Robust Vine Trunk Localization in the Field by Mobile Agricultural Robots
- Sommelier: Scalable Open Multi-turn Audio Pre-processing for Full-duplex Speech Language Models
- PDGMM-VAE: A Variational Autoencoder with Adaptive Per-Dimension Gaussian Mixture Model Priors for Nonlinear ICA
- Graph Signal Processing Meets Mamba2: Adaptive Filter Bank via Delta Modulation
- Large Language Models for Missing Data Imputation: Understanding Behavior, Hallucination Effects, and Control Mechanisms
- Conformal Risk Control for Safety-Critical Wildfire Evacuation Mapping: A Comparative Study of Tabular, Spatial, and Graph-Based Models
- Fair splits flip the leaderboard: CHANRG reveals limited generalization in RNA secondary-structure prediction
- Trained Persistent Memory for Frozen Decoder-Only LLMs
- Beyond the Mean: Distribution-Aware Loss Functions for Bimodal Regression
- Evaluating AI-based Scientific Knowledge Synthesis with Epidemiological Systematic Reviews
- A Direct Classification Approach for Reliable Wind Ramp Event Forecasting under Severe Class Imbalance
- Hybrid Associative Memories
- DAQ: Delta-Aware Quantization for Post-Training LLM Weight Compression
- A Multi-Task Targeted Learning Framework for Lithium-Ion Battery State-of-Health and Remaining Useful Life
- AEGIS: An Operational Infrastructure for Post-Market Governance of Adaptive Medical AI Under US and EU Regulations
- How Can Machine Learning Emulators Best Support Climate Science?
- Sparsely-Supervised Data Assimilation via Physics-Informed Schr"odinger Bridge
- A graph neural network based chemical mechanism reduction method for combustion applications
- ST-GDance++: A Scalable Spatial-Temporal Diffusion for Long-Duration Group Choreography
- Enhancing AI-Based Tropical Cyclone Track and Intensity Forecasting via Systematic Bias Correction
- A Multi-Modal CNN-LSTM Framework with Multi-Head Attention and Focal Loss for Real-Time Elderly Fall Detection
- Permutation-Consensus Listwise Judging for Robust Factuality Evaluation
- LLM-Driven Heuristic Synthesis for Industrial Process Control: Lessons from Hot Steel Rolling
- Towards Practical Multimodal Hospital Outbreak Detection
- Revenue-Sharing as Infrastructure: A Distributed Business Model for Generative AI Platforms
- Epistemic Observability in Language Models
- RMNP: Row-Momentum Normalized Preconditioning for Scalable Matrix-Based Optimization
- CogFormer: Learn All Your Models Once
- End-to-End Optimization of Polarimetric Measurement and Material Classifier
- Evaluating Large Language Models on Historical Health Crisis Knowledge in Resource-Limited Settings: A Hybrid Multi-Metric Study
- ReBOL: Retrieval via Bayesian Optimization with Batched LLM Relevance Observations and Query Reformulation
- Lessons and Open Questions from a Unified Study of Camera-Trap Species Recognition Over Time
- Distributed Gradient Clustering: Convergence and the Effect of Initialization
- Efficient Counterfactual Reasoning in ProbLog via Single World Intervention Programs
- Meeting in the Middle: A Co-Design Paradigm for FHE and AI Inference
- PARHAF, a human-authored corpus of clinical reports for fictitious patients in French
- Spatio-Temporal Grid Intelligence: A Hybrid Graph Neural Network and LSTM Framework for Robust Electricity Theft Detection
- Profiling learners' affective engagement: Emotion AI, intercultural pragmatics, and language learning
- From Data to Laws: Neural Discovery of Conservation Laws Without False Positives
- Goal-oriented learning of stochastic differential equations using error bounds on path-space observables
- Double Machine Learning for Static Panel Data with Instrumental Variables: New Method and Applications
- Shift-Invariant Feature Attribution in the Application of Wireless Electrocardiograms
- Inverting Neural Networks: New Methods to Generate Neural Network Inputs from Prescribed Outputs
- SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease
- Policies Permitting LLM Use for Polishing Peer Reviews Are Currently Not Enforceable
- Thermal is Always Wild: Characterizing and Addressing Challenges in Thermal-Only Novel View Synthesis
- Detecting Neurovascular Instability from Multimodal Physiological Signals Using Wearable-Compatible Edge AI: A Responsible Computational Framework
- Verifiable Error Bounds for Physics-Informed Neural KKL Observers
- When Demonstrations Fail: Diagnosing the Limits of In-Context Learning in Large Audio-Language Models with Progressive Cue Removal
- Benchmarking Efficient & Effective Camera Pose Estimation Strategies for Novel View Synthesis
- Leveraging Natural Language Processing and Machine Learning for Evidence-Based Food Security Policy Decision-Making in Data-Scarce Making
- PEARL: Personalized Streaming Video Understanding Model
- Hawkeye: Reproducing GPU-Level Non-Determinism
- CRANE: Correcting Errors in Raw Nanopore Signals Using Hidden Markov Models
- Data-driven discovery of roughness descriptors for surface characterization and intimate contact modeling of unidirectional composite tapes
- SLE-FNO: Single-Layer Extensions for Task-Agnostic Continual Learning in Fourier Neural Operators
- Meta-Learning for Repeated Bayesian Persuasion
- Putnam 2025 Problems in Rocq using Opus 4.6 and Rocq-MCP
- Hetero-Net: An Energy-Efficient Resource Allocation and 3D Placement in Heterogeneous LoRa Networks via Multi-Agent Optimization
- FAAR: Efficient Frequency-Aware Multi-Task Fine-Tuning via Automatic Rank Selection
- Compression is all you need: Modeling Mathematics
- Monocular Models are Strong Learners for Multi-View Human Mesh Recovery
- CAMA: Exploring Collusive Adversarial Attacks in c-MARL
- A chemical language model for reticular materials design
- From Cross-Validation to SURE: Asymptotic Risk of Tuned Regularized Estimators
- Jigsaw Regularization in Whole-Slide Image Classification
- Multi-Stage Fine-Tuning of Pathology Foundation Models with Head-Diverse Ensembling for White Blood Cell Classification
- Herding CATs: ALARA for Agent Harness Engineering in Portable Composable Multi-Agent Teams
- WebNavigator: Global Web Navigation via Interaction Graph Retrieval
- Comprehensive Description of Uncertainty in Measurement for Representation and Propagation with Scalable Precision
- Operator Learning for Smoothing and Forecasting
- Leum-VL Technical Report
- Scene Representation using 360deg Saliency Graph and its Application in Vision-based Indoor Navigation
- The Multiverse of Time Series Machine Learning: an Archive for Multivariate Time Series Classification
- MANA: Towards Efficient Mobile Ad Detection via Multimodal Agentic UI Navigation
- Toward a Multi-View Brain Network Foundation Model: Cross-View Consistency Learning Across Arbitrary Atlases
- G2DR: A Genotype-First Framework for Genetics-Informed Target Prioritization and Drug Repurposing
- Interpretable Multiple Myeloma Prognosis with Observational Medical Outcomes Partnership Data
- Low-pass Personalized Subgraph Federated Recommendation
- High-fidelity Multi-view Normal Integration with Scale-encoded Neural Surface Representation
- GEM: A Native Graph-based Index for Multi-Vector Retrieval
- Hybrid Autoencoder-Isolation Forest approach for time series anomaly detection in C70XP cyclotron operation data at ARRONAX
- Procedural Refinement by LLM-driven Algorithmic Debugging for ARC-AGI-2
- Bounded Coupled AI Learning Dynamics in Tri-Hierarchical Drone Swarms
- Measure flow path recovery in Bayes Hilbert spaces
- Decorrelation, Diversity, and Emergent Intelligence: The Isomorphism Between Social Insect Colonies and Ensemble Machine Learning
- Prompt-Free Lightweight SAM Adaptation for Histopathology Nuclei Segmentation with Strong Cross-Dataset Generalization
- DCG-Net: Dual Cross-Attention with Concept-Value Graph Reasoning for Interpretable Medical Diagnosis
- NCSTR: Node-Centric Decoupled Spatio-Temporal Reasoning for Video-based Human Pose Estimation
- From Masks to Pixels and Meaning: A New Taxonomy, Benchmark, and Metrics for VLM Image Tampering
- Deterministic Mode Proposals: An Efficient Alternative to Generative Sampling for Ambiguous Segmentation
- CoVR-R:Reason-Aware Composed Video Retrieval
- Learning Sampled-data Control for Swarms via MeanFlow
- NOUS: Video-Driven 3D Human Reaction Generation via Observation-Reaction Mutual Steering
- Kolmogorov-Arnold causal generative models
- Improving Generalization on Cybersecurity Tasks with Multi-Modal Contrastive Learning
- Adaptive Greedy Frame Selection for Long Video Understanding
- LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis
- TinyML Enhances CubeSat Mission Capabilities
- The Robot's Inner Critic: Self-Refinement of Social Behaviors through VLM-based Replanning
- Evaluating Evidence Grounding Under User Pressure in Instruction-Tuned Language Models
- Semantic Token Clustering for Efficient Uncertainty Quantification in Large Language Models
- Design-OS: A Specification-Driven Framework for Engineering System Design with a Control-Systems Design Case
- Enhancing Hyperspace Analogue to Language (HAL) Representations via Attention-Based Pooling for Text Classification
- Synergistic Perception and Generative Recomposition: A Multi-Agent Orchestration for Expert-Level Building Inspection
- Revisiting Gene Ontology Knowledge Discovery with Hierarchical Feature Selection and Virtual Study Group of AI Agents
- Generalizable NGP-SR: Generalizable Neural Radiance Fields Super-Resolution via Neural Graph Primitives
- Conditioning Protein Generation via Hopfield Pattern Multiplicity
- Current LLMs still cannot 'talk much' about grammar modules: Evidence from syntax
- Demonstration of Adapt4Me: An Uncertainty-Aware Authoring Environment for Personalizing Automatic Speech Recognition to Non-normative Speech
- Var-JEPA: A Variational Formulation of the Joint-Embedding Predictive Architecture - Bridging Predictive and Generative Self-Supervised Learning
- GO-GenZip: Goal-Oriented Generative Sampling and Hybrid Compression
- The Y-Combinator for LLMs: Solving Long-Context Rot with λ-Calculus
- Spectral Alignment in Forward-Backward Representations via Temporal Abstraction
- LLM-Enhanced Semantic Data Integration of Electronic Component Qualifications in the Aerospace Domain
- Preference-Guided Debiasing for No-Reference Enhancement Image Quality Assessment
- Predicting States of Understanding in Explanatory Interactions Using Cognitive Load-Related Linguistic Cues
- A Unified Platform and Quality Assurance Framework for 3D Ultrasound Reconstruction with Robotic, Optical, and Electromagnetic Tracking
- Antenna Array Beamforming Based on a Hybrid Quantum Optimization Framework
- The monotonicity of the Franz-Parisi potential is equivalent with Low-degree MMSE lower bounds
- The End of Rented Discovery: How AI Search Redistributes Power Between Hotels and Intermediaries
- DIAL-KG: Schema-Free Incremental Knowledge Graph Construction via Dynamic Schema Induction and Evolution-Intent Assessment
- Investigating a Policy-Based Formulation for Endoscopic Camera Pose Recovery
- LoASR-Bench: Evaluating Large Speech Language Models on Low-Resource Automatic Speech Recognition Across Language Families
- Federated Hyperdimensional Computing for Resource-Constrained Industrial IoT
- Continual Learning as Shared-Manifold Continuation Under Compatible Shift
- CoverageBench: Evaluating Information Coverage across Tasks and Domains
- Orchestrating Human-AI Software Delivery: A Retrospective Longitudinal Field Study of Three Software Modernization Programs
- Graph-Informed Adversarial Modeling: Infimal Subadditivity of Interpolative Divergences
- Layered Quantum Architecture Search for 3D Point Cloud Classification
- ODySSeI: An Open-Source End-to-End Framework for Automated Detection, Segmentation, and Severity Estimation of Lesions in Invasive Coronary Angiography Images
- CFCML: A Coarse-to-Fine Crossmodal Learning Framework For Disease Diagnosis Using Multimodal Images and Tabular Data
- Diffusion-Based Makeup Transfer with Facial Region-Aware Makeup Features
- A Super Fast K-means for Indexing Vector Embeddings
- Physics-Informed Long-Range Coulomb Correction for Machine-learning Hamiltonians
- NEC-Diff: Noise-Robust Event-RAW Complementary Diffusion for Seeing Motion in Extreme Darkness
- When Contextual Inference Fails: Cancelability in Interactive Instruction Following
- Evaluating Test-Time Adaptation For Facial Expression Recognition Under Natural Cross-Dataset Distribution Shifts
- Promoting Critical Thinking With Domain-Specific Generative AI Provocations
- Model-Driven Learning-Based Physical Layer Authentication for Mobile Wi-Fi Devices
- Graph2TS: Structure-Controlled Time Series Generation via Quantile-Graph VAEs
- 2K Retrofit: Entropy-Guided Efficient Sparse Refinement for High-Resolution 3D Geometry Prediction
- Channel Prediction-Based Physical Layer Authentication under Consecutive Spoofing Attacks
- Cov2Pose: Leveraging Spatial Covariance for Direct Manifold-aware 6-DoF Object Pose Estimation
- Structural Controllability of Large-Scale Hypergraphs
- On the Ability of Transformers to Verify Plans
- TAPAS: Efficient Two-Server Asymmetric Private Aggregation Beyond Prio(+)
- Hybrid topic modelling for computational close reading: Mapping narrative themes in Pushkin's Evgenij Onegin
- LIORNet: Self-Supervised LiDAR Snow Removal Framework for Autonomous Driving under Adverse Weather Conditions
- RAM: Recover Any 3D Human Motion in-the-Wild
- SegVGGT: Joint 3D Reconstruction and Instance Segmentation from Multi-View Images
- Translation from the Information Bottleneck Perspective: an Efficiency Analysis of Spatial Prepositions in Bitexts
- Span-Level Machine Translation Meta-Evaluation
- PanORama: Multiview Consistent Panoptic Segmentation in Operating Rooms
- Learning Like Humans: Analogical Concept Learning for Generalized Category Discovery
- Infinite-dimensional spherical-radial decomposition for probabilistic functions, with application to constrained optimal control and Gaussian process regression
- A Federated Many-to-One Hopfield model for associative Neural Networks
- Deep Time-Series Forecasting in 10 Years: A Survey
- Revealing Domain-Spatiality Patterns for Configuration Tuning: Domain Knowledge Meets Fitness Landscapes
- Integrating Meta-Features with Knowledge Graph Embeddings for Meta-Learning
- Discovery of Decision Synchronization Patterns from Event Logs
- Minimax Generalized Cross-Entropy
- SIMPLER: Efficient Foundation Model Adaptation via Similarity-Guided Layer Pruning for Earth Observation
- NASimJax: A GPU-Accelerated Policy Learning Framework for Penetration Testing
- FoleyDirector: Fine-Grained Temporal Steering for Video-to-Audio Generation via Structured Scripts
- Failure Modes for Deep Learning-Based Online Mapping: How to Measure and Address Them
- Semantic Delta: An Interpretable Signal Differentiating Human and LLMs Dialogue
- Probing and Inducing Clinical Modality Grounding in Brain Tumor Segmentation
- Overreliance on AI in Information-seeking from Video Content
- Modeling subgrid scale production rates on complex meshes using graph neural networks
- Explainable cluster analysis: a bagging approach
- Fourier Splatting: Generalized Fourier encoded primitives for scalable radiance fields
- Gesture2Speech: How Far Can Hand Movements Shape Expressive Speech?
- FormalEvolve: Neuro-Symbolic Evolutionary Search for Diverse Autoformalization
- FrameNet Semantic Role Classification by Analogy
- GDEGAN: Gaussian Dynamic Equivariant Graph Attention Network for Ligand Binding Site Prediction
- Eye Gaze-Informed and Context-Aware Pedestrian Trajectory Prediction in Shared Spaces with Automated Shuttles: A Virtual Reality Study
- Two-Time-Scale Learning Dynamics: A Population View of Neural Network Training
- Enhancing Alignment for Unified Multimodal Models via Semantically-Grounded Supervision
- Quantifying Gate Contribution in Quantum Feature Maps for Scalable Circuit Optimization
- Uncertainty Quantification Via the Posterior Predictive Variance
- Evaluating Vision Foundation Models for Pixel and Object Classification in Microscopy
- Offshore oil and gas platform dynamics in the North Sea, Gulf of Mexico, and Persian Gulf: Exploiting the Sentinel-1 archive
- Borderless Long Speech Synthesis
- Controllable Text-to-Motion Generation via Modular Body-Part Phase Control
- Scalable Learning of Multivariate Distributions via Coresets
- Learning Hierarchical Orthogonal Prototypes for Generalized Few-Shot 3D Point Cloud Segmentation
- Decoupled Sensitivity-Consistency Learning for Weakly Supervised Video Anomaly Detection
- ReManNet: A Riemannian Manifold Network for Monocular 3D Lane Detection
- Evaluating Image Editing with LLMs: A Comprehensive Benchmark and Intermediate-Layer Probing Approach
- Template-based Object Detection Using a Foundation Model
- Neither Here Nor There: Cross-Lingual Representation Dynamics of Code-Mixed Text in Multilingual Encoders
- FlashCap: Millisecond-Accurate Human Motion Capture via Flashing LEDs and Event-Based Vision
- Adapting a Pre-trained Single-Cell Foundation Model to Spatial Gene Expression Generation from Histology Images
- PCSTracker: Long-Term Scene Flow Estimation for Point Cloud Sequences
- Growing Networks with Autonomous Pruning
- Uncertainty-aware Prototype Learning with Variational Inference for Few-shot Point Cloud Segmentation
- Regularity of Solutions to Beckmann's Parametric Optimal Transport
- ReLi3D: Relightable Multi-view 3D Reconstruction with Disentangled Illumination
- PhysNeXt: Next-Generation Dual-Branch Structured Attention Fusion Network for Remote Photoplethysmography Measurement
- Layer-wise Target Propagation: Efficient Component Attribution through Target Centric Propagation
- MOSS-TTSD: Text to Spoken Dialogue Generation
- A two-step sequential approach for hyperparameter selection in finite context models
- PerformRecast: Expression and Head Pose Disentanglement for Portrait Video Editing
- FedRG: Unleashing the Representation Geometry for Federated Learning with Noisy Clients
- BALM: A Model-Agnostic Framework for Balanced Multimodal Learning under Imbalanced Missing Rates
- Neuro-Symbolic Proof Generation for Scaling Systems Software Verification
- Binary Classification from Coupled Pairwise Labels
- TAB-AUDIT: Detecting AI-Fabricated Scientific Tables via Multi-View Likelihood Mismatch
- EvoTaxo: Building and Evolving Taxonomy from Social Media Streams
- AIGQ: An End-to-End Hybrid Generative Architecture for E-commerce Query Recommendation
- Minimax and Adaptive Covariance Matrix Estimation under Differential Privacy
- Regret Analysis of Sleeping Competing Bandits
- Demographic-Aware Self-Supervised Anomaly Detection Pretraining for Equitable Rare Cardiac Diagnosis
- Diminishing Returns in Expanding Generative Models and Godel-Tarski-Lob Limits
- TSegAgent: Zero-Shot Tooth Segmentation via Geometry-Aware Vision-Language Agents
- Ontology-Based Knowledge Modeling and Uncertainty-Aware Outdoor Air Quality Assessment Using Weighted Interval Type-2 Fuzzy Logic
- 3D Gaussian Splatting with Self-Constrained Priors for High Fidelity Surface Reconstruction
- Unbiased Dynamic Multimodal Fusion
- Vision-Language Attribute Disentanglement and Reinforcement for Lifelong Person Re-Identification
- Structured Prompting for Arabic Essay Proficiency: A Trait-Centric Evaluation Approach
- Toward High-Fidelity Visual Reconstruction: From EEG-Based Conditioned Generation to Joint-Modal Guided Rebuilding
- Semantic Audio-Visual Navigation in Continuous Environments
- Model Selection and Parameter Estimation for Multidimensional Gaussian Mixture Models with a Common Covariance Matrix
- GravCal: Single-Image Calibration of IMU Gravity Priors with Per-Sample Confidence
- Ensembles-based Feature Guided Analysis
- UniBioTransfer: A Unified Framework for Multiple Biometrics Transfer
- RiboSphere: Learning Unified and Efficient Representations of RNA Structures
- MetaCues: Enabling Critical Engagement with Generative AI for Information Seeking and Sensemaking
- Alternating Diffusion for Proximal Sampling with Zeroth Order Queries
- On the role of memorization in learned priors for geophysical inverse problems
- Dual Prompt-Driven Feature Encoding for Nighttime UAV Tracking
- IUP-Pose: Decoupled Iterative Uncertainty Propagation for Real-time Relative Pose Regression via Implicit Dense Alignment v1
- Continual Learning for Food Category Classification Dataset: Enhancing Model Adaptability and Performance
- Disentangle-then-Align: Non-Iterative Hybrid Multimodal Image Registration via Cross-Scale Feature Disentanglement
- A Locally Penalized Cross-Estimate Federated Method with Guarantees for Constrained Personalized Learning
- UniPR: Unified Object-level Real-to-Sim Perception and Reconstruction from a Single Stereo Pair
- CAF-Score: Calibrating CLAP with LALMs for Reference-free Audio Captioning Evaluation
- Demonstrations, CoT, and Prompting: A Theoretical Analysis of ICL
- LoD-Loc v3: Generalized Aerial Localization in Dense Cities using Instance Silhouette Alignment
- FB-CLIP: Fine-Grained Zero-Shot Anomaly Detection with Foreground-Background Disentanglement
- Physion-Eval: Evaluating Physical Realism in Generated Video via Human Reasoning
- Beyond Quadratic: Linear-Time Change Detection with RWKV
- K-GMRF: Kinetic Gauss-Markov Random Field for First-Principles Covariance Tracking on Lie Groups
- Physics-Informed Neural Network with Adaptive Clustering Learning Mechanism for Information Popularity Prediction
- ARMOR: Adaptive Resilience Against Model Poisoning Attacks in Continual Federated Learning for Mobile Indoor Localization
- Data-driven ensemble prediction of the global ocean
- HiFiGaze: Improving Eye Tracking Accuracy Using Screen Content Knowledge
- Evolving Embodied Intelligence: Graph Neural Network--Driven Co-Design of Morphology and Control in Soft Robotics
- AI Psychosis: Does Conversational AI Amplify Delusion-Related Language?
- Accelerating Diffusion Decoders via Multi-Scale Sampling and One-Step Distillation
- Efficiency Follows Global-Local Decoupling
- PhyUnfold-Net: Advancing Remote Sensing Change Detection with Physics-Guided Deep Unfolding
- PFM-VEPAR: Prompting Foundation Models for RGB-Event Camera based Pedestrian Attribute Recognition
- Wearable Foundation Models Should Go Beyond Static Encoders
- Dual-Domain Representation Alignment: Bridging 2D and 3D Vision via Geometry-Aware Architecture Search
- Neural Uncertainty Principle: A Unified View of Adversarial Fragility and LLM Hallucination
- An Adaptive Machine Learning Framework for Fluid Flow in Dual-Network Porous Media
- Optimal Scalar Quantization for Matrix Multiplication: Closed-Form Density and Phase Transition
- StreetForward: Perceiving Dynamic Street with Feedforward Causal Attention
- Learning to Bet for Horizon-Aware Anytime-Valid Testing
- Plagiarism or Productivity? Students Moral Disengagement and Behavioral Intentions to Use ChatGPT in Academic Writing
- SeeClear: Reliable Transparent Object Depth Estimation via Generative Opacification
- Subspace Kernel Learning on Tensor Sequences
- Verifiable Error Bounds for Physics-Informed Neural Network Solutions of Lyapunov and Hamilton-Jacobi-Bellman Equations
- Scalable Cross-Facility Federated Learning for Scientific Foundation Models on Multiple Supercomputers
- MoCA3D: Monocular 3D Bounding Box Prediction in the Image Plane
- Behavioral Engagement in VR-Based Sign Language Learning: Visual Attention as a Predictor of Performance and Temporal Dynamics
- Pedestrian Crossing Intent Prediction via Psychological Features and Transformer Fusion
- EvidenceRL: Reinforcing Evidence Consistency for Trustworthy Language Models