Papers
Thu 30 Oct 2025
373 papers
- Reinforcement Learning for Robotic Safe Control with Force SensingDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Denoising Refinement Diffusion Models for Simultaneous Generation of Multi-scale Mobile Network TrafficDiffusion models → Diffusion and flow policies for robotics
- Chopping Trees: Semantic Similarity Based Dynamic Pruning for Tree-of-Thought ReasoningLLM reasoning → Test-time compute and efficient thinking
- RL-Exec: Impact-Aware Reinforcement Learning for Opportunistic Optimal Liquidation, Outperforms TWAP and a Book-Liquidity VWAP on BTC-USD ReplaysDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Knowledge-Guided Textual Reasoning for Explainable Video Anomaly Detection via LLMsLLM reasoning → Chain-of-thought reasoning for driving
- Temporal Sparse Autoencoders: Leveraging the Sequential Nature of Language for InterpretabilityMechanistic interpretability → SAE features and their applications
- Constructing the Umwelt: Cognitive Planning through Belief-Intent Co-EvolutionWorld models → World models for language agents +1
- Reasoning Up the Instruction Ladder for Controllable Language ModelsLLM reasoning → Reasoning benchmarks and evaluation +1
- Real-DRL: Teach and Learn in RealityDeep reinforcement learning methods → Safe and constrained RL
- Chain of Time: In-Context Physical Simulation with Image Generation ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- FreeSliders: Training-Free, Modality-Agnostic Concept Sliders for Fine-Grained Diffusion Control in Images, Audio, and VideoDiffusion models → Image generation, text-to-image and editing
- Urban-MAS: Human-Centered Urban Prediction with LLM-Based Multi-Agent SystemLLM agents and tool use → Multimodal and embodied agents
- Self-Improving Vision-Language-Action Models with Data Generation via Residual RLVision-language-action models → Reinforcement learning and post-training
- LeMiCa: Lexicographic Minimax Path Caching for Efficient Diffusion-Based Video GenerationDiffusion models → Video generation
- Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long TailLLM reasoning → Chain-of-thought reasoning for driving +3
- ThinkMorph: Emergent Properties in Multimodal Interleaved Chain-of-Thought ReasoningLLM reasoning → Multimodal reasoning
- LLM-Centric RAG with Multi-Granular Indexing and Confidence ConstraintsRetrieval-augmented generation → RAG pipeline design and evaluation
- Adaptive Data Flywheel: Applying MAPE Control Loops to AI Agent ImprovementMixture-of-experts → Efficient MoE training and inference systems
- Limits of Generalization in RLVR: Two Case Studies in Mathematical ReasoningLLM reasoning → Reinforcement learning for reasoning
- e1: Learning Adaptive Control of Reasoning EffortLLM reasoning → Test-time compute and efficient thinking
- A Multi-Modal Neuro-Symbolic Approach for Spatial Reasoning-Based Visual Grounding in RoboticsLLM reasoning → Spatial and embodied reasoning
- Semantically-Aware LLM Agent to Enhance Privacy in Conversational AI ServicesLLM agents and tool use → Agent threats, guardrails and governance
- Algorithmic Predation: Equilibrium Analysis in Dynamic Oligopolies with Smooth Market SharingDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Mixture-of-Transformers Learn Faster: A Theoretical Study on Classification ProblemsMixture-of-experts → Expert routing strategies
- Jasmine: A Simple, Performant and Scalable JAX-based World Modeling CodebaseWorld models → World models for language agents
- A Framework for Fair Evaluation of Variance-Aware Bandit AlgorithmsDeep reinforcement learning methods → RL theory and sample complexity
- MoME: Mixture of Visual Language Medical Experts for Medical Imaging SegmentationMixture-of-experts → Medical and biomedical MoE
- MM-OPERA: Benchmarking Open-ended Association Reasoning for Large Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- Heterogeneous Robot Collaboration in Unstructured Environments with Grounded Generative IntelligenceMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Understanding and Enhancing Mamba-Transformer Hybrids for Memory Recall and Language ModelingState-space sequence models (S4, Mamba) → Core SSM architectures for language
- NaviTrace: Evaluating Embodied Navigation of Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Generative diffusion modeling protocols for improving the Kikuchi pattern indexing in electron back-scatter diffractionDiffusion models → Flow matching, time series and science
- Do Vision-Language Models Measure Up? Benchmarking Visual Measurement Reading with MeasureBenchMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Inverse Knowledge Search over Verifiable Reasoning: Synthesizing a Scientific Encyclopedia from a Long Chains-of-Thought Knowledge BaseLLM reasoning → Knowledge- and tool-augmented reasoning
- CATArena: Evaluating Evolutionary Capabilities of Code Agents via Iterative TournamentsLLM agents and tool use → Software engineering coding agents
- Broken-Token: Filtering Obfuscated Prompts by Counting Characters-Per-TokenLLM safety and security → Jailbreaking
- CAS-Spec: Cascade Adaptive Self-Speculative Decoding for On-the-Fly Lossless Inference Acceleration of LLMsEfficient LLM inference and serving → Speculative decoding
- Are Video Models Ready as Zero-Shot Reasoners? An Empirical Study with the MME-CoF BenchmarkLLM reasoning → Multimodal reasoning
- Masked Diffusion Captioning for Visual Feature LearningDiffusion models → Image generation, text-to-image and editing
- The Quest for Generalizable Motion Generation: Data, Model, and EvaluationDiffusion models → Video generation
- Gistify! Codebase-Level Understanding via Runtime ExecutionLLM agents and tool use → Software engineering coding agents
- Cloning Deterministic Worlds: The Critical Role of Latent Geometry in Long-Horizon World ModelsWorld models → Latent predictive world models
- SteerVLM: Robust Model Control through Lightweight Activation Steering for Vision Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- AMO-Bench: Large Language Models Still Struggle in High School Math CompetitionsLLM reasoning → Mathematical reasoning
- The Oversight Game: Learning to Cooperatively Balance an AI Agent's Safety and AutonomyLLM agents and tool use → Agent threats, guardrails and governance
- Cross-Platform Evaluation of Reasoning Capabilities in Foundation ModelsLLM reasoning → Mathematical reasoning
- ExpertFlow: Adaptive Expert Scheduling and Memory Coordination for Efficient MoE InferenceMixture-of-experts → Efficient MoE training and inference systems
- MaLoRA: Gated Modality LoRA for Key-Space Alignment in Multimodal LLM Fine-TuningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- On the importance of multiple training seeds for evaluating machine unlearningLLM safety and security → Machine unlearning
- Value Drifts: Tracing Value Alignment During LLM Post-TrainingLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Delegated Authorization for Agents Constrained to Semantic Task-to-Scope MatchingLLM agents and tool use → Agent threats, guardrails and governance
- Using Copilot Agent Mode to Automate Library Migration: A Quantitative AssessmentLLM agents and tool use → Software engineering coding agents
- Kimi Linear: An Expressive, Efficient Attention ArchitectureDeep reinforcement learning methods → Deep RL algorithms and representations
- Action-Driven Processes for Continuous-Time ControlDeep reinforcement learning methods → RL theory and sample complexity
- Hybrid Consistency Policy: Decoupling Multi-Modal Diversity and Real-Time Efficiency in Robotic ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- The Era of Agentic Organization: Learning to Organize with Language ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Hybrid DQN-TD3 Reinforcement Learning for Autonomous Navigation in Dynamic EnvironmentsDeep reinforcement learning methods → RL for robot navigation and UAV control
- Curly Flow Matching for Learning Non-gradient Field DynamicsDiffusion models → Flow matching, time series and science
- All You Need for Object Detection: From Pixels, Points, and Prompts to Next-Gen Fusion and Multimodal LLMs/VLMs in Autonomous VehiclesMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- SlideAgent: Hierarchical Agentic Framework for Multi-Page Visual Document UnderstandingLLM agents and tool use → Multimodal and embodied agents
- Normative Reasoning in Large Language Models: A Comparative Benchmark from Logical and Modal PerspectivesLLM reasoning → Reasoning benchmarks and evaluation
- Agentic AI Home Energy Management System: A Large Language Model Framework for Residential Load SchedulingLLM agents and tool use → Financial trading and forecasting agents
- ResMatching: Noise-Resilient Computational Super-Resolution via Guided Conditional Flow MatchingDiffusion models → Inverse problems and image restoration
- Stop Wasting Your Tokens: Towards Efficient Runtime Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Emu3.5: Native Multimodal Models are World LearnersWorld models → World models for language agents
- CATCH: A Modular Cross-domain Adaptive Template with HookLLM reasoning → Multimodal reasoning
- Dynamic Context-Aware Scene Reasoning Using Vision-Language Alignment in Zero-Shot Real-World ScenariosLLM reasoning → Spatial and embodied reasoning
- Inference-Cost-Aware Dynamic Tree Construction for Efficient Inference in Large Language ModelsEfficient LLM inference and serving → Speculative decoding
- InfoFlow: Reinforcing Search Agent Via Reward Density OptimizationLLM agents and tool use → Web, search, and research agents
- Polybasic Speculative Decoding Through a Theoretical PerspectiveEfficient LLM inference and serving → Speculative decoding
- Think Outside the Policy: In-Context Steered Policy OptimizationLLM reasoning → Reinforcement learning for reasoning
- A Multi-agent Large Language Model Framework to Automatically Assess Performance of a Clinical AI Triage ToolLLM agents and tool use → Medical and scientific domain agents
- Rethinking Text-to-SQL: Dynamic Multi-turn SQL Interaction for Real-world Database ExplorationLLM reasoning → Knowledge- and tool-augmented reasoning
- Simulating and Experimenting with Social Media Mobilization Using LLM AgentsLLM agents and tool use → Social simulation and multi-agent debate
- Data-Efficient RLVR via Off-Policy Influence GuidanceLLM reasoning → Reinforcement learning for reasoning
- ReSpec: Towards Optimizing Speculative Decoding in Reinforcement Learning SystemsEfficient LLM inference and serving → Speculative decoding +1
- Counteracting Matthew Effect in Self-Improvement of LVLMs through Head-Tail Re-balancingLLM reasoning → Multimodal reasoning +2
- Representation-Level Counterfactual Calibration for Debiased Zero-Shot RecognitionMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Personalized Treatment Outcome Prediction from Scarce Data via Dual-Channel Knowledge Distillation and Adaptive FusionKnowledge distillation → Distillation for medical imaging
- A-TPT: Angular Diversity Calibration Properties for Test-Time Prompt Tuning of Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Co-Evolving Latent Action World ModelsWorld models → Embodied and robot world models
- Nexus: Execution-Grounded Multi-Agent Test Oracle SynthesisLLM agents and tool use → Software engineering coding agents
- Chain-of-Thought HijackingLLM reasoning → Reasoning for agents, planning and code +1
- MedSAE: Dissecting MedCLIP Representations with Sparse AutoencodersMechanistic interpretability → Interpreting biomedical and science models
- Human-in-the-loop Online Rejection Sampling for Robotic ManipulationDeep reinforcement learning methods → RL for robot locomotion and manipulation
- A Pragmatic View of AI PersonhoodLLM agents and tool use → General LLM agent frameworks and benchmarks
- EEG-Driven Image Reconstruction with Saliency-Guided Diffusion ModelsDiffusion models → Medical imaging and segmentation
- AI Mathematician as a Partner in Advancing Mathematical Discovery -- A Case Study in Homogenization TheoryLLM reasoning → Mathematical reasoning
- BOTS: A Unified Framework for Bayesian Online Task Selection in LLM Reinforcement FinetuningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Towards Reinforcement Learning Based Log Loading AutomationDeep reinforcement learning methods → RL for robot navigation and UAV control
- The Geometry of Dialogue: Graphing Language Models to Reveal Synergistic Teams for Multi-Agent CollaborationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Reinforcement Learning for Pollution Detection in a Randomized, Sparse and Nonstationary Environment with an Autonomous Underwater VehicleDeep reinforcement learning methods → RL for robot navigation and UAV control
- MisSynth: Improving MISSCI Logical Fallacies Classification with Synthetic DataSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- GLYPH-SR: Can We Achieve Both High-Quality Image Super-Resolution and High-Fidelity Text Recovery via VLM-guided Latent Diffusion Model?Diffusion models → Inverse problems and image restoration
- Agent Skills Enable a New Class of Realistic and Trivially Simple Prompt InjectionsLLM agents and tool use → Agent threats, guardrails and governance +1
- Posterior Sampling by Combining Diffusion Models with Annealed Langevin DynamicsDiffusion models → Inverse problems and image restoration
- SCRIBE: Structured Chain Reasoning for Interactive Behaviour Explanations using Tool CallingLLM reasoning → Reasoning benchmarks and evaluation +1
- Offline Clustering of Preference Learning with Active-data AugmentationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Beyond Imitation: Constraint-Aware Trajectory Generation with Flow Matching For End-to-End Autonomous DrivingDiffusion models → Diffusion and flow policies for robotics +1
- Empowering RepoQA-Agent based on Reinforcement Learning Driven by Monte-carlo Tree SearchLLM agents and tool use → Software engineering coding agents
All 373
- Distributional Multi-objective Black-box Optimization for Diffusion-model Inference-time Multi-Target GenerationDiffusion models → Diffusion foundations and sampling
- Do LLMs Signal When They're Right? Evidence from Neuron AgreementLLM reasoning → Test-time compute and efficient thinking
- PVMark: Enabling Public Verifiability for LLM Watermarking SchemesLLM safety and security → Watermarking generated content and models
- Distilling Multilingual Vision-Language Models: When Smaller Models Stay MultilingualMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Graph-Enhanced Policy Optimization in LLM Agent TrainingLLM agents and tool use → Reinforcement learning for LLM agents
- Retrieval Augmented Generation-Enhanced Distributed LLM Agents for Generalizable Traffic Signal Control with Emergency VehiclesRetrieval-augmented generation → Multimodal RAG +1
- Which Way Does Time Flow? A Psychophysics-Grounded Evaluation for Vision-Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- DiSE: A diffusion probabilistic model for automatic structure elucidation of organic compoundsDiffusion models → Flow matching, time series and science
- MPRU: Modular Projection-Redistribution Unlearning as Output Filter for Classification PipelinesLLM safety and security → Machine unlearning
- Test-time reward-guided alignment of language models by importance sampling on pre-logit spaceLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Who Grants the Agent Power? Defending Against Instruction Injection via Task-Centric Access ControlLLM agents and tool use → Agent threats, guardrails and governance
- Towards Global Retrieval Augmented Generation: A Benchmark for Corpus-Level ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +1
- What's In My Human Feedback? Learning Interpretable Descriptions of Preference DataLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Don't Let It Fade: Preserving Edits in Diffusion Language Models via Token Timestep AllocationDiffusion models → Discrete and text diffusion
- Sketch2PoseNet: Efficient and Generalized Sketch to 3D Human Pose PredictionDiffusion models → 3D, point cloud and scene generation
- A Game-Theoretic Spatio-Temporal Reinforcement Learning Framework for Collaborative Public Resource AllocationDeep reinforcement learning methods → RL for games and combinatorial optimization
- MossNet: Mixture of State-Space Experts is a Multi-Head AttentionMixture-of-experts → MoE large language models
- ReaKase-8B: Legal Case Retrieval via Knowledge and Reasoning Representations with LLMsLLM reasoning → Reasoning for agents, planning and code
- MoTDiff: High-resolution Motion Trajectory estimation from a single blurred image using Diffusion modelsDiffusion models → Inverse problems and image restoration
- Linking Heterogeneous Data with Coordinated Agent Flows for Social Media AnalysisLLM agents and tool use → Social simulation and multi-agent debate
- ToolRM: Towards Agentic Tool-Use Reward ModelingLLM agents and tool use → Reinforcement learning for LLM agents +1
- CRAG-MM: Multi-modal Multi-turn Comprehensive RAG BenchmarkRetrieval-augmented generation → Multimodal RAG
- The FM AgentLLM agents and tool use → General LLM agent frameworks and benchmarks
- Reasoning Curriculum: Bootstrapping Broad LLM Reasoning from MathLLM reasoning → Reinforcement learning for reasoning +1
- WOD-E2E: Waymo Open Dataset for End-to-End Driving in Challenging Long-tail ScenariosMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- Reasoning Path Divergence: A New Metric and Curation Strategy to Unlock LLM Diverse ThinkingLLM reasoning → Test-time compute and efficient thinking
- OracleAgent: A Multimodal Reasoning Agent for Oracle Bone Script ResearchLLM reasoning → Multimodal reasoning +1
- Do Not Step Into the Same River Twice: Learning to Reason from Trial and ErrorLLM reasoning → Reinforcement learning for reasoning
- Security Risk of Misalignment between Text and Image in Multi-modal ModelDiffusion models → Robustness, privacy and adversarial aspects
- GUI Knowledge Bench: Revealing the Knowledge Gap of VLMs in GUI TasksMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Robust Super-Capacity SRS Channel Inpainting via Diffusion ModelsDiffusion models → Diffusion for compression and wireless
- ALMGuard: Safety Shortcuts and Where to Find Them as Guardrails for Audio-Language ModelsLLM safety and security → Audio jailbreaks and speech backdoors
- Group-Equivariant Diffusion Models for Lattice Field TheoryDiffusion models → Diffusion foundations and sampling
- Morphology-Aware Graph Reinforcement Learning for Tensegrity Robot LocomotionDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Dynamic VLM-Guided Negative Prompting for Diffusion ModelsMultimodal LLMs / vision-language models → Image editing and quality assessment +1
- Bias-Corrected Data Synthesis for Imbalanced LearningSynthetic data and self-improvement for LLMs → Model collapse from synthetic data
- Accelerating Real-World Overtaking in F1TENTH Racing Employing Reinforcement Learning MethodsDeep reinforcement learning methods → RL for autonomous driving and traffic
- Do Students Debias Like Teachers? On the Distillability of Bias Mitigation MethodsKnowledge distillation → General knowledge distillation methods
- SIRAJ: Diverse and Efficient Red-Teaming for LLM Agents via Distilled Structured ReasoningLLM reasoning → Reasoning for agents, planning and code +2
- AI as Equalizer or Amplifier? Task Complexity as the Moderating Factor for Human Expertise in Hybrid Intelligence Systems
- Beyond Technical Debt: How AI-Assisted Development Creates Comprehension Debt in Resource-Constrained Indie Teams
- Transforming Higher Education with AI-Powered Video Lectures
- Mind the Gap: Revealing Inconsistencies Across Heterogeneous AI Accelerators
- CausalGuard: A Smart System for Detecting and Preventing False Information in Large Language Models
- SynBullying: A Multi LLM Synthetic Conversational Dataset for Cyberbullying Detection
- Benchmarking Simulacra AI's Quantum Accurate Synthetic Data Generation for Chemical Sciences
- A convolutional neural network deep learning method for model class selection
- StrengthSense: A Dataset of IMU Signals Capturing Everyday Strength-Demanding Activities
- MeixnerNet: Adaptive and Robust Spectral Graph Neural Networks with Discrete Orthogonal Polynomials
- Pelican-VL 1.0: A Foundation Brain Model for Embodied Intelligence
- AI Powered High Quality Text to Video Generation with Enhanced Temporal Consistency
- Wayfinding through the AI wilderness: Mapping rhetorics of ChatGPT prompt writing on X (formerly Twitter) to promote critical AI literacies
- Artificial Intelligence in Elementary STEM Education: A Systematic Review of Current Applications and Future Challenges
- Automated Discovery of Conservation Laws via Hybrid Neural ODE-Transformers
- Loquetier: A Virtualized Multi-LoRA Framework for Unified LLM Fine-tuning and Serving
- Deep recurrent-convolutional neural network learning and physics Kalman filtering comparison in dynamic load identification
- A generative adversarial network optimization method for damage detection and digital twinning by deep AI fault learning: Z24 Bridge structural health monitoring benchmark validation
- A filtering scheme for confocal laser endomicroscopy (CLE)-video sequences for self-supervised learning
- GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation
- SpinalSAM-R1: A Vision-Language Multimodal Interactive System for Spine CT Segmentation
- Digital Twin based Automatic Reconfiguration of Robotic Systems in Smart Environments
- QuantumBench: A Benchmark for Quantum Problem Solving
- Adding New Capability in Existing Scientific Application with LLM Assistance
- Unvalidated Trust: Cross-Stage Vulnerabilities in Large Language Model Architectures
- Overspecified Mixture Discriminant Analysis: Exponential Convergence, Statistical Guarantees, and Remote Sensing Applications
- Detecting Data Contamination in LLMs via In-Context Learning
- VISTA: Verification In Sequential Turn-based Assessment
- Accelerating Radiative Transfer for Planetary Atmospheres by Orders of Magnitude with a Transformer-Based Machine Learning Model
- Recursive numeral systems are highly regular and easy to process
- AD-SAM: Adapting the Segment Anything Model for Semantic Segmentation in Autonomous Driving
- Quantitative Intertextuality from the Digital Humanities Perspective: A Survey
- GeoPep: A geometry-aware masked language model for protein-peptide binding site prediction
- Dataset Creation and Baseline Models for Sexism Detection in Hausa
- Elastic Architecture Search for Efficient Language Models
- VitalLens 2.0: High-Fidelity rPPG for Heart Rate Variability Estimation from Face Video
- Incremental Human-Object Interaction Detection with Invariant Relation Representation Learning
- Domain decomposition architectures and Gauss-Newton training for physics-informed neural networks
- Kad: A Framework for Proxy-based Test-time Alignment with Knapsack Approximation Deferral
- Quantitative Bounds for Length Generalization in Transformers
- Enhancing Sentiment Classification with Machine Learning and Combinatorial Fusion
- Causal Masking on Spatial Data: An Information-Theoretic Case for Learning Spatial Datasets with Unimodal Language Models
- Are Online Sports Fan Communities Becoming More Offensive? A Quantitative Review of Topics, Trends, and Toxicity of r/PremierLeague
- AIOT based Smart Education System: A Dual Layer Authentication and Context-Aware Tutoring Framework for Learning Environments
- Gradient Descent as Loss Landscape Navigation: a Normative Framework for Deriving Learning Rules
- LLMs are Overconfident: Evaluating Confidence Interval Calibration with FermiEval
- HADSF: Aspect Aware Semantic Control for Explainable Recommendation
- SUSTAINABLE Platform: Seamless Smart Farming Integration Towards Agronomy Automation
- Robust fuzzy clustering for high-dimensional multivariate time series with outlier detection
- Fine-Grained Iterative Adversarial Attacks with Limited Computation Budget
- Semantic Frame Aggregation-based Transformer for Live Video Comment Generation
- Overview of the MEDIQA-OE 2025 Shared Task on Medical Order Extraction from Doctor-Patient Consultations
- Frame Semantic Patterns for Identifying Underreporting of Notifiable Events in Healthcare: The Case of Gender-Based Violence
- Using Salient Object Detection to Identify Manipulative Cookie Banners that Circumvent GDPR
- SYNAPSE-Net: A Unified Framework with Lesion-Aware Hierarchical Gating for Robust Segmentation of Heterogeneous Brain Lesions
- Predicting Household Water Consumption Using Satellite and Street View Images in Two Indian Cities
- Can machines think efficiently?
- LLM-based Multi-class Attack Analysis and Mitigation Framework in IoT/IIoT Networks
- Mind the Gaps: Auditing and Reducing Group Inequity in Large-Scale Mobility Prediction
- RepV: Safety-Separable Latent Spaces for Scalable Neurosymbolic Plan Verification
- Scale-Aware Curriculum Learning for Ddata-Efficient Lung Nodule Detection with YOLOv11
- DC4GS: Directional Consistency-Driven Adaptive Density Control for 3D Gaussian Splatting
- Residual Distribution Predictive Systems
- Discovering EV Charging Site Archetypes Through Few Shot Forecasting: The First U.S.-Wide Study
- Cognition Envelopes for Bounded Decision Making in Autonomous UAS Operations
- PF-DAformer: Proximal Femur Segmentation via Domain Adaptive Transformer for Dual-Center QCT
- How Similar Are Grokipedia and Wikipedia? A Multi-Dimensional Textual and Structural Comparison
- Integrating Ontologies with Large Language Models for Enhanced Control Systems in Chemical Engineering
- BI-DCGAN: A Theoretically Grounded Bayesian Framework for Efficient and Diverse GANs
- The Denario project: Deep knowledge AI agents for scientific discovery
- Evaluating Perspectival Biases in Cross-Modal Retrieval
- Leveraging Foundation Models for Enhancing Robot Perception and Action
- FedPF: Accurate Target Privacy Preserving Federated Learning Balancing Fairness and Utility
- SpotIt: Evaluating Text-to-SQL Evaluation with Formal Verification
- OmniX: From Unified Panoramic Generation and Perception to Graphics-Ready 3D Scenes
- See4D: Pose-Free 4D Generation via Auto-Regressive Video Inpainting
- Scaling Image Geo-Localization to Continent Level
- Learning Pseudorandom Numbers with Transformers: Permuted Congruential Generators, Curricula, and Interpretability
- Defeating the Training-Inference Mismatch via FP16
- Remote Labor Index: Measuring AI Automation of Remote Work
- HEIR: Learning Graph-Based Motion Hierarchies
- LLMs Process Lists With General Filter Heads
- A Unified Theory for Causal Inference: Direct Debiased Machine Learning via Bregman-Riesz Regression
- ChartAB: A Benchmark for Chart Grounding & Dense Alignment
- Surpassing state of the art on AMD area estimation from RGB fundus images through careful selection of U-Net architectures and loss functions for class imbalance
- Pre-trained Forecasting Models: Strong Zero-Shot Feature Extractors for Time Series Classification
- Faithful and Fast Influence Function via Advanced Sampling
- STaMP: Sequence Transformation and Mixed Precision for Low-Precision Activation Quantization
- MORE: Multi-Organ Medical Image REconstruction Dataset
- Deep sequence models tend to memorize geometrically; it is unclear why
- A General Incentives-Based Framework for Fairness in Multi-agent Resource Allocation
- Bridging the Gap between Empirical Welfare Maximization and Conditional Average Treatment Effect Estimation in Policy Learning
- Non-Convex Over-the-Air Heterogeneous Federated Learning: A Bias-Variance Trade-off
- On Purely Private Covariance Estimation
- LSM-MS2: A Foundation Model Bridging Spectral Identification and Biological Interpretation
- An All-Reduce Compatible Top-K Compressor for Communication-Efficient Distributed Learning
- Budgeted Multiple-Expert Deferral
- How Regularization Terms Make Invertible Neural Networks Bayesian Point Estimators
- ProstNFound+: A Prospective Study using Medical Foundation Models for Prostate Cancer Detection
- Assessment of the conditional exchangeability assumption in causal machine learning models: a simulation study
- The End of Manual Decoding: Towards Truly End-to-End Language Models
- The Impact and Outlook of 3D Gaussian Splatting
- LoRAQuant: Mixed-Precision Quantization of LoRA to Ultra-Low Bits
- FlowQ-Net: A Generative Framework for Automated Quantum Circuit Design
- Process Integrated Computer Vision for Real-Time Failure Prediction in Steel Rolling Mill
- Evontree: Ontology Rule-Guided Self-Evolution of Large Language Models
- Improving Classification of Occluded Objects through Scene Context
- Tight Differentially Private PCA via Matrix Coherence
- BRIQA: Balanced Reweighting in Image Quality Assessment of Pediatric Brain MRI
- Posterior-driven Heuristic Support Adaptation in a Probabilistic Treatment of Real2Sim2Real for Vision-Driven Deformable Linear Object Manipulation
- Towards Reliable Sea Ice Drift Estimation in the Arctic Deep Learning Optical Flow on RADARSAT-2
- MSAD: A Deep Dive into Model Selection for Time series Anomaly Detection
- SAMRI: Segment Any MRI
- Omnipresent Yet Overlooked: Heat Kernels in Combinatorial Bayesian Optimization
- PT-DETR: Small Target Detection Based on Partially-Aware Detail Focus
- Encoder-Decoder or Decoder-Only? Revisiting Encoder-Decoder Large Language Model
- Aeolus: A Multi-structural Flight Delay Dataset
- Spiking Patches: Asynchronous, Sparse, and Efficient Tokens for Event Cameras
- FARM: Fine-Tuning Geospatial Foundation Models for Intra-Field Crop Yield Regression
- Wasserstein Regression as a Variational Approximation of Probabilistic Trajectories through the Bernstein Basis
- Hybrid Physical-Neural Simulator for Fast Cosmological Hydrodynamics
- Physics-Informed Mixture Models and Surrogate Models for Precision Additive Manufacturing
- Comparative Analysis of Deep Learning Models for Olive Tree Crown and Shadow Segmentation Towards Biovolume Estimation
- AdSum: Two-stream Audio-visual Summarization for Automated Video Advertisement Clipping
- SA2Net: Scale-Adaptive Structure-Affinity Transformation for Spine Segmentation from Ultrasound Volume Projection Imaging
- Multiclass Local Calibration with the Jensen-Shannon Distance
- On Measuring Localization of Shortcuts in Deep Networks
- Boosted Trees on a Diet: Compact Models for Resource-Constrained Devices
- Adaptive Inverse Kinematics Framework for Learning Variable-Length Tool Manipulation in Robotics
- EdgeRunner 20B: Military Task Parity with GPT-5 while Running on the Edge
- The Structure of Relation Decoding Linear Operators in Large Language Models
- A Three-Stage Bayesian Transfer Learning Framework to Improve Predictions in Data-Scarce Domains
- Higher-Order Regularization Learning on Hypergraphs
- Approximating Heavy-Tailed Distributions with a Mixture of Bernstein Phase-Type and Hyperexponential Models
- Hebrew Diacritics Restoration using Visual Representation
- Human-AI Complementarity: A Goal for Amplified Oversight
- Inside CORE-KG: Evaluating Structured Prompting and Coreference Resolution for Knowledge Graphs
- LLMs as In-Context Meta-Learners for Model and Hyperparameter Selection
- Analysis of the Robustness of an Edge Detector Based on Cellular Automata Optimized by Particle Swarm
- Enhancing ECG Classification Robustness with Lightweight Unsupervised Anomaly Detection Filters
- Context Engineering 2.0: The Context of Context Engineering
- Quantum Gated Recurrent GAN with Gaussian Uncertainty for Network Anomaly Detection
- LINK-KG: LLM-Driven Coreference-Resolved Knowledge Graphs for Human Smuggling Networks
- Bayesian Network Fusion of Large Language Models for Sentiment Analysis
- Who Has The Final Say? Conformity Dynamics in ChatGPT's Selections
- Statistical Inference for Matching Decisions via Matrix Completion under Dependent Missingness
- Towards Fine-Grained Vision-Language Alignment for Few-Shot Anomaly Detection
- Vectorized Context-Aware Embeddings for GAT-Based Collaborative Filtering
- SecureReviewer: Enhancing Large Language Models for Secure Code Review through Secure-aware Fine-tuning
- Robust Graph Condensation via Classification Complexity Mitigation
- 1+1>2: A Synergistic Sparse and Low-Rank Compression Method for Large Language Models
- PointSt3R: Point Tracking through 3D Grounded Correspondence
- OmniEduBench: A Comprehensive Chinese Benchmark for Evaluating Large Language Models in Education
- SSCL-BW: Sample-Specific Clean-Label Backdoor Watermarking for Dataset Ownership Verification
- LoCoT2V-Bench: Benchmarking Long-Form and Complex Text-to-Video Generation
- Autograder+: A Multi-Faceted AI Framework for Rich Pedagogical Feedback in Programming Education
- Multi-Output Robust and Conjugate Gaussian Processes
- Multi-Task Learning Based on Support Vector Machines and Twin Support Vector Machines: A Comprehensive Survey
- SPG-CDENet: Spatial Prior-Guided Cross Dual Encoder Network for Multi-Organ Segmentation
- Adaptive Context Length Optimization with Low-Frequency Truncation for Multi-Agent Reinforcement Learning
- Scales++: Compute Efficient Evaluation Subset Selection with Cognitive Scales Embeddings
- Efficient Generative AI Boosts Probabilistic Forecasting of Sudden Stratospheric Warmings
- CorVS+: Correspondence-Driven Association of Video Trajectories and Sensors for Identity-Aware Person Localization in Warehouses
- AgriGS-SLAM: Orchard Mapping Across Seasons via Multi-View Gaussian Splatting SLAM
- On the Role of Context for Discourse Relation Classification in Scientific Writing
- Towards Explainable and Reliable AI in Finance
- UnifiedFL: A Dynamic Unified Learning Framework for Equitable Federation
- Discovering State Equivalences in UCT Search Trees By Action Pruning
- Linear Causal Discovery with Interventional Constraints
- SABER: Symbolic Regression-based Angle of Arrival and Beam Pattern Estimator
- From Amateur to Master: Infusing Knowledge into LLMs via Automated Curriculum Learning
- On the Impact of Weight Discretization in QUBO-Based SVM Training
- A Hybrid Framework Bridging CNN and ViT based on Theory of Evidence for Diabetic Retinopathy Grading
- Model Inversion with Layer-Specific Modeling and Alignment for Data-Free Continual Learning
- GraphCompliance: Structure-Aware Regulatory Compliance through Policy-Context Graph Alignment
- A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection
- Exploring the correlation between the type of music and the emotions evoked: A study using subjective questionnaires and EEG
- Implicit Bias of Per-sample Adam on Separable Data: Departure from the Full-batch Regime
- Understanding Hardness of Vision-Language Compositionality from A Token-level Causal Lens
- Can Agent Conquer Web? Exploring the Frontiers of ChatGPT Atlas Agent in Web Games
- Towards Realistic Earth-Observation Constellation Scheduling: Benchmark and Methodology
- Leveraging Large-Scale Face Datasets for Deep Periocular Recognition via Ocular Cropping
- Language Models Learn Universal Representations of Numbers and Here's Why You Should Care
- Empirical Bayesian Multi-Bandit Learning
- Exploring Complementarity and Explainability in CNNs for Periocular Verification Across Acquisition Distances
- A Research Roadmap for Augmenting Software Engineering Processes and Software Products with Generative AI
- Revisiting Generative Infrared and Visible Image Fusion Based on Human Cognitive Laws
- A Likely Geometry of Generative Models
- Are Language Models Borrowing-Blind? A Multilingual Evaluation of Loanword Identification across 10 Languages
- Pragmatic Theories Enhance Understanding of Implied Meanings in LLMs
- Angular Steering: Behavior Control via Rotation in Activation Space
- Questionnaire meets LLM: A Benchmark and Empirical Study of Structural Skills for Understanding Questions and Responses
- Hybrid LLM and Higher-Order Quantum Approximate Optimization for CSA Collateral Management
- OmniDocLayout: Towards Diverse Document Layout Generation via Coarse-to-Fine LLM Learning
- An Intelligent Multi-task Supply Chain Model Based on Bio-inspired Networks
- RCScore: Quantifying Response Consistency in Large Language Models
- SP-MCQA: Evaluating Intelligibility of TTS Beyond the Word Level
- Predicting All-Cause Hospital Readmissions from Medical Claims Data of Hospitalised Patients
- ConceptScope: Characterizing Dataset Bias via Disentangled Visual Concepts
- Accumulative SGD Influence Estimation for Data Attribution
- Similarity-Distance-Magnitude Language Models
- Self-localization on a 3D map by fusing global and local features from a monocular camera
- Learning to Manage Investment Portfolios beyond Simple Utility Functions
- Segmentation over Complexity: Evaluating Ensemble and Hybrid Approaches for Anomaly Detection in Industrial Time Series
- Bridging the Gap Between Molecule and Textual Descriptions via Substructure-aware Alignment
- Detecting Unauthorized Vehicles using Deep Learning for Smart Cities: A Case Study on Bangladesh
- MV-MLM: Bridging Multi-View Mammography and Language for Breast Cancer Diagnosis and Risk Prediction
- BasicAVSR: Arbitrary-Scale Video Super-Resolution via Image Priors and Enhanced Motion Compensation
- STAR: A Privacy-Preserving, Energy-Efficient Edge AI Framework for Human Activity Recognition via Wi-Fi CSI in Mobile and Pervasive Computing Environments
- maxVSTAR: Maximally Adaptive Vision-Guided CSI Sensing with Closed-Loop Edge Model Adaptation for Robust Human Activity Recognition
- StructLayoutFormer:Conditional Structured Layout Generation via Structure Serialization and Disentanglement
- FullPart: Generating each 3D Part at Full Resolution
- Beyond Benchmarks: The Economics of AI Inference
- Exploring Object-Aware Attention Guided Frame Association for RGB-D SLAM
- Beyond Synthetic Benchmarks: Evaluating LLM Performance on Real-World Class-Level Code Generation
- On the Influence of Discourse Relations in Persuasive Texts
- Uncertainty-Aware Diagnostics for Physics-Informed Machine Learning
- JOGS: Joint Optimization of Pose Estimation and 3D Gaussian Splatting
- EgoExo-Con: Exploring View-Invariant Video Temporal Understanding
- QCoder Benchmark: Bridging Language Generation and Quantum Hardware through Simulator-Based Feedback
- SAFE: A Novel Approach to AI Weather Evaluation through Stratified Assessments of Forecasts over Earth
- ORBIT -- Open Recommendation Benchmark for Reproducible Research with Hidden Tests
- Lean4Physics: Comprehensive Reasoning Framework for College-level Physics in Lean4
- Network-Constrained Policy Optimization for Adaptive Multi-agent Vehicle Routing
- LLMBisect: Breaking Barriers in Bug Bisection with A Comparative Analysis Pipeline
- Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism
- New Money: A Systematic Review of Synthetic Data Generation for Finance
- Learning Geometry: A Framework for Building Adaptive Manifold Models through Metric Optimization
- Towards Scaling Laws for Symbolic Regression
- Data-driven Projection Generation for Efficiently Solving Heterogeneous Quadratic Programming Problems
- Can AI be Accountable?
- FlexICL: A Flexible Visual In-context Learning Framework for Elbow and Wrist Ultrasound Segmentation
- L1-norm Regularized Indefinite Kernel Logistic Regression
- Artificial Intelligence-Enabled Analysis of Radiology Reports: Epidemiology and Consequences of Incidental Thyroid Findings