Papers
Thu 20 Nov 2025
348 papers
- The Linguistic Architecture of Reflective Thought: Evaluation of a Large Language Model as a Tool to Isolate the Formal Structure of MentalizationLLM reasoning → Reasoning benchmarks and evaluation
- TeamPath: Building MultiModal Pathology Experts with Reasoning AI CopilotsLLM reasoning → Clinical and biomedical applications
- MamTiff-CAD: Multi-Scale Latent Diffusion with Mamba+ for Complex Parametric SequenceDiffusion models → 3D, point cloud and scene generation +1
- BlockCert: Certified Blockwise Extraction of Transformer MechanismsMechanistic interpretability → Circuits and mechanistic analysis
- BOP-ASK: Object-Interaction Reasoning for Vision-Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- Towards Unified Vision Language Models for Forest Ecological Analysis in Earth ObservationLLM reasoning → Spatial and embodied reasoning +1
- Jump-diffusion models of parametric volume-price distributionsDiffusion models → Flow matching, time series and science
- Cognitive BASIC: An In-Model Interpreted Reasoning Language for LLMsLLM reasoning → Prompting and chain-of-thought reasoning
- PEPPER: Perception-Guided Perturbation for Robust Backdoor Defense in Text-to-Image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- Stable diffusion models reveal a persisting human and AI gap in visual creativityDiffusion models → Image generation, text-to-image and editing
- Membership Inference Attacks Beyond OverfittingLLM safety and security → Membership inference attacks
- Revisiting Multimodal KV Cache Compression: A Frequency-Domain-Guided Outlier-KV-Aware ApproachMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- SafeR-CLIP: Mitigating NSFW Content in Vision-Language Models While Preserving Pre-Trained KnowledgeMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- AutoBackdoor: Automating Backdoor Attacks via LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- Multi-Agent Code Verification via Information TheoryLLM agents and tool use → Software engineering coding agents
- EvoLMM: Self-Evolving Large Multimodal Models with Continuous RewardsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- Thinking-while-Generating: Interleaving Textual Reasoning throughout Visual GenerationLLM reasoning → Multimodal reasoning
- Learning to Think Fast and Slow for Visual Language ModelsLLM reasoning → Multimodal reasoning +1
- Video-as-Answer: Predict and Generate Next Video Event with Joint-GRPOLLM reasoning → Multimodal reasoning
- V-ReasonBench: Toward Unified Reasoning Benchmark Suite for Video Generation ModelsLLM reasoning → Multimodal reasoning
- Taming the Long-Tail: Efficient Reasoning RL Training with Adaptive DrafterLLM reasoning → Reinforcement learning for reasoning +1
- Nemotron Elastic: Towards Efficient Many-in-One Reasoning LLMsLLM reasoning → Test-time compute and efficient thinking +2
- Cognitive Foundations for Reasoning and Their Manifestation in LLMsLLM reasoning → Reasoning benchmarks and evaluation
- Solving Spatial Supersensing Without Spatial SupersensingWorld models → Video-generation world models and simulators
- Comparison of Text-Based and Image-Based Retrieval in Multimodal Retrieval Augmented Generation Large Language Model SystemsRetrieval-augmented generation → Multimodal RAG
- Teacher-Guided One-Shot Pruning via Context-Aware Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- InternData-A1: Pioneering High-Fidelity Synthetic Data for Pre-training Generalist PolicyVision-language-action models → Generalist VLA models and benchmarks
- TRIM: Scalable 3D Gaussian Diffusion Inference with Temporal and Spatial TrimmingDiffusion models → Diffusion foundations and sampling
- SurvAgent: Hierarchical CoT-Enhanced Case Banking and Dichotomy-Based Multi-Agent System for Multimodal Survival PredictionLLM agents and tool use → Medical and scientific domain agents
- Stabilizing Policy Gradient Methods via Reward ProfilingDeep reinforcement learning methods → RL theory and sample complexity
- You Only Forward Once: An Efficient Compositional Judging ParadigmMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Time dependent loss reweighting for flow matching and diffusion models is theoretically justifiedDiffusion models → Flow matching, time series and science
- TimeViper: A Hybrid Mamba-Transformer Vision-Language Model for Efficient Long Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs +1
- D-GARA: A Dynamic Benchmarking Framework for GUI Agent Robustness in Real-World AnomaliesLLM agents and tool use → GUI and mobile agents
- Erase to Retain: Low Rank Adaptation Guided Selective Unlearning in Medical Segmentation NetworksLLM safety and security → Machine unlearning
- Boosting Predictive Performance on Tabular Data through Data Augmentation with Latent-Space Flow-Based DiffusionDiffusion models → Flow matching, time series and science
- Contrastive vision-language learning with paraphrasing and negationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Saving Foundation Flow-Matching Priors for Inverse ProblemsDiffusion models → Flow matching, time series and science
- Flow and Depth Assisted Video Prediction with Latent TransformerWorld models → Video-generation world models and simulators
- Limitations of Scalarisation in MORL: A Comparative Study in Discrete EnvironmentsDeep reinforcement learning methods → RL for games and combinatorial optimization
- A Comparison Between Decision Transformers and Traditional Offline Reinforcement Learning AlgorithmsOffline RL and imitation learning from data → Decision transformers and sequence modeling
- Anatomy of an Idiom: Tracing Non-Compositionality in Language ModelsMechanistic interpretability → Circuits and mechanistic analysis
- LLaVA3: Representing 3D Scenes like a Cubist Painter to Boost 3D Scene Understanding of VLMsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Bridging the Semantic-Action Gap in Visual Token Pruning for Efficient VLA InferenceVision-language-action models → Efficient VLA inference and adaptation +1
- FreqFlow: Long-term forecasting using lightweight flow matchingDiffusion models → Flow matching, time series and science
- Second-Order MPC-Based Distributed Q-LearningDeep reinforcement learning methods → RL for autonomous driving and traffic
- TOFA: Training-Free One-Shot Federated Adaptation for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Trustworthy AI in the Agentic Lakehouse: from Concurrency to GovernanceLLM agents and tool use → Agent threats, guardrails and governance
- An Agent-Based Framework for the Automatic Validation of Mathematical Optimization ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
- The Shawshank Redemption of Embodied AI: Understanding and Benchmarking Indirect Environmental JailbreaksLLM safety and security → Jailbreaking
- OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General RecipeLLM reasoning → Multimodal reasoning
- Beyond Generative AI: World Models for Clinical Prediction, Counterfactuals, and PlanningWorld models → Medical and surgical world models
- Incorporating Self-Rewriting into Large Language Model Reasoning ReinforcementLLM reasoning → Reinforcement learning for reasoning
- Safe and Optimal Variable Impedance Control via Certified Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- ARK: Answer-Centric Retriever Tuning via KG-augmented Curriculum LearningRetrieval-augmented generation → RAG robustness and adaptive retrieval
- SDA: Steering-Driven Distribution Alignment for Open LLMs without Fine-TuningLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- NaTex: Seamless Texture Generation as Latent Color DiffusionDiffusion models → 3D, point cloud and scene generation
- Optimizing Operation Recipes with Reinforcement Learning for Safe and Interpretable Control of Chemical ProcessesDeep reinforcement learning methods → RL for energy, networks and operations
- Spectral Identifiability for Interpretable Probe GeometryMechanistic interpretability → Circuits and mechanistic analysis
- MuISQA: Multi-Intent Retrieval-Augmented Generation for Scientific Question AnsweringRetrieval-augmented generation → Agentic RAG, agents and memory
- "To Survive, I Must Defect": Jailbreaking LLMs via the Game-Theory ScenariosLLM safety and security → Jailbreaking
- FT-NCFM: An Influence-Aware Data Distillation Framework for Efficient VLA ModelsVision-language-action models → VLA architectures and generalization
- Pass@k Metric for RLVR: A Diagnostic Tool of Exploration, But Not an ObjectiveLLM reasoning → Reinforcement learning for reasoning
- Q-MLLM: Vector Quantization for Robust Multimodal Large Language Model SecurityMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Deep SOR Minimax Q-learning for Two-player Zero-sum GameDeep reinforcement learning methods → Deep RL algorithms and representations
- Can MLLMs Read the Room? A Multimodal Benchmark for Assessing Deception in Multi-Party Social InteractionsLLM reasoning → Prompting and chain-of-thought reasoning +1
- Towards Overcoming Data Scarcity in Nuclear Energy: A Study on Critical Heat Flux with Physics-consistent Conditional Diffusion ModelDiffusion models → Flow matching, time series and science
- ChemLabs on ChemO: A Multi-Agent System for Multimodal Reasoning on IChO 2025LLM reasoning → Clinical and biomedical applications
- When Alignment Fails: Multimodal Adversarial Attacks on Vision-Language-Action ModelsVision-language-action models → Safety and adversarial attacks
- Multi-Agent Collaborative Reward Design for Enhancing Reasoning in Reinforcement LearningLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- SemanticCite: Citation Verification with AI-Powered Full-Text Analysis and Evidence-Based ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- Fast LLM Post-training via Decoupled and Fastest-of-N SpeculationEfficient LLM inference and serving → Speculative decoding
- Mantis: A Versatile Vision-Language-Action Model with Disentangled Visual ForesightVision-language-action models → World model-based VLA
- EvoVLA: Self-Evolving Vision-Language-Action ModelVision-language-action models → Reinforcement learning and post-training
- An Image Is Worth Ten Thousand Words: Verbose-Text Induction Attacks on VLMsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Video2Layout: Recall and Reconstruct Metric-Grounded Cognitive Map for Spatial ReasoningLLM reasoning → Spatial and embodied reasoning +1
- MagBotSim: Physics-Based Simulation and Reinforcement Learning Environments for Magnetic RoboticsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Pluggable Pruning with Contiguous Layer Distillation for Diffusion TransformersDiffusion models → Diffusion foundations and sampling
- Reasoning Guided Embeddings: Leveraging MLLM Reasoning for Improved Multimodal RetrievalLLM reasoning → Multimodal reasoning
- Real-Time 3D Object Detection with Inference-Aligned LearningKnowledge distillation → Detection and dense prediction distillation
- Multidimensional Rubric-oriented Reward Model Learning via Geometric Projection Reference ConstraintsLLM alignment / RLHF / preference optimisation → Medical LLM alignment
- An Interpretability-Guided Framework for Responsible Synthetic Data Generation in Emotional TextSynthetic data and self-improvement for LLMs → Privacy-preserving tabular data synthesis
- AskDB: An LLM Agent for Natural Language Interaction with Relational DatabasesLLM agents and tool use → Web, search, and research agents
- Decoupling Complexity from Scale in Latent Diffusion ModelDiffusion models → Diffusion foundations and sampling
- SkyRL-Agent: Efficient RL Training for Multi-turn LLM AgentLLM agents and tool use → Reinforcement learning for LLM agents
- Mitigating Estimation Bias with Representation Learning in TD Error-Driven RegularizationDeep reinforcement learning methods → RL theory and sample complexity
- Mathematical Framework for Custom Reward Functions in Job Application Evaluation using Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- Bellman Memory Units: A neuromorphic framework for synaptic reinforcement learning with an evolving network topologyDeep reinforcement learning methods → Spiking and neuromorphic RL
- LiSTAR: Ray-Centric World Models for 4D LiDAR Sequences in Autonomous DrivingWorld models → World modeling from LiDAR generation +1
- AMS-KV: Adaptive KV Caching in Multi-Scale Visual Autoregressive TransformersEfficient LLM inference and serving → Fast autoregressive visual generation
- Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated ReasoningLLM reasoning → Reasoning for agents, planning and code +2
- Mixture of Ranks with Degradation-Aware Routing for One-Step Real-World Image Super-ResolutionMixture-of-experts → Vision mixture-of-experts
- CARE: Turning LLMs Into Causal Reasoning ExpertLLM reasoning → Causal reasoning in LLMs
- Hiding in the AI Traffic: Abusing MCP for LLM-Powered Agentic Red TeamingLLM agents and tool use → Agent threats, guardrails and governance +1
- Sensorium Arc: AI Agent System for Oceanic Data Exploration and Interactive Eco-ArtLLM agents and tool use → Multimodal and embodied agents
- CARE-RAG - Clinical Assessment and Reasoning in RAGLLM reasoning → Clinical and biomedical applications
- Detecting Sleeper Agents in Large Language Models via Semantic Drift AnalysisLLM agents and tool use → Agent threats, guardrails and governance +1
- Fairness in Multi-modal Medical Diagnosis with Demonstration SelectionMultimodal LLMs / vision-language models → Medical vision-language models
- Descend or Rewind? Stochastic Gradient Descent UnlearningLLM safety and security → Machine unlearning
- KRAL: Knowledge and Reasoning Augmented Learning for LLM-assisted Clinical Antimicrobial TherapyLLM reasoning → Clinical and biomedical applications
All 348
- InfoCLIP: Bridging Vision-Language Pretraining and Open-Vocabulary Semantic Segmentation via Information-Theoretic Alignment TransferMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- JudgeBoard: Benchmarking and Enhancing Small Language Models for Reasoning EvaluationLLM reasoning → Reasoning benchmarks and evaluation
- A Scalable NorthPole System with End-to-End Vertical Integration for Low-Latency and Energy-Efficient LLM InferenceEfficient LLM inference and serving → Serving systems and request scheduling
- "Jutters"
- NOVAID: Natural-language Observability Visualization Assistant for ITOps Dashboard Widget Generation
- A Multi-objective Optimization Approach for Feature Selection in Gentelligent Systems
- Memory-DD: A Low-Complexity Dendrite-Inspired Neuron for Temporal Prediction Tasks
- Statistical Arbitrage in Polish Equities Market Using Deep Learning Techniques
- Integration of LSTM Networks in Random Forest Algorithms for Stock Market Trading Predictions
- CONFIDE: Hallucination Assessment for Reliable Biomolecular Structure Prediction and Design
- Characterizing Continuous and Discrete Hybrid Latent Spaces for Structural Connectomes
- KAN-SAs: Efficient Acceleration of Kolmogorov-Arnold Networks on Systolic Arrays
- Goal-Directed Search Outperforms Goal-Agnostic Memory Compression in Long-Context Memory Tasks
- PromptTailor: Multi-turn Intent-Aligned Prompt Synthesis for Lightweight LLMs
- AD-CDO: A Lightweight Ontology for Representing Eligibility Criteria in Alzheimer's Disease Clinical Trials
- Hybrid coupling with operator inference and the overlapping Schwarz alternating method
- AssurAI: Experience with Constructing Korean Socio-cultural Datasets to Discover Potential Risks of Generative AI
- AI-based framework to predict animal and pen feed intake in feedlot beef cattle
- Enhancing Breast Cancer Prediction with LLM-Inferred Confounders
- Frugality in second-order optimization: floating-point approximations for Newton's method
- Predicting Healthcare Provider Engagement in SMS Campaigns
- Multi-Agent Coordination in Autonomous Vehicle Routing: A Simulation-Based Study of Communication, Memory, and Routing Loops
- Intelligent Systems in Neuroimaging: Pioneering AI Techniques for Brain Tumor Detection
- Dialogue Diplomats: An End-to-End Multi-Agent Reinforcement Learning System for Automated Conflict Resolution and Consensus Building
- SWITCH: Benchmarking Modeling and Handling of Tangible Interfaces in Long-horizon Embodied Scenarios
- Hybrid Neuro-Symbolic Models for Ethical AI in Risk-Sensitive Domains
- Fluid Grey 2: How Well Does Generative Adversarial Network Learn Deeper Topology Structure in Architecture That Matches Images?
- Is Phase Really Needed for Weakly-Supervised Dereverberation ?
- Investigating Test Overfitting on SWE-bench
- The use of vocal biomarkers in the detection of Parkinson's disease: a robust statistical performance comparison of classic machine learning models
- MRI Super-Resolution with Deep Learning: A Comprehensive Survey
- Better audio representations are more brain-like: linking model-brain alignment with performance in downstream auditory tasks
- Sex and age determination in European lobsters using AI-Enhanced bioacoustics
- ConCISE: A Reference-Free Conciseness Evaluation Metric for LLM-Generated Answers
- Provably Minimum-Length Conformal Prediction Sets for Ordinal Classification
- Fantastic Bugs and Where to Find Them in AI Benchmarks
- Trajectory-guided discharge stratification for heart failure using short-context electronic health record sequence modeling
- The Shifting Landscape of Vaccine Discourse: Insights From a Decade of Pre- to Post-COVID-19 Vaccine Posts on Social Media
- ManifoldFormer: Geometric Deep Learning for Neural Dynamics on Riemannian Manifolds
- WorldGen: From Text to Traversable and Interactive 3D Worlds
- Interpretable dimensions support an effect of agentivity and telicity on split intransitivity
- Monte Carlo Expected Threat (MOCET) Scoring
- A Robust Federated Learning Approach for Combating Attacks Against IoT Systems Under non-IID Challenges
- BITS for GAPS: Bayesian Information-Theoretic Sampling for hierarchical GAussian Process Surrogates
- From Representation to Enactment: The ABC Framework of the Translating Mind
- Mesh RAG: Retrieval Augmentation for Autoregressive Mesh Generation
- Efficient Penalty-Based Bilevel Methods: Improved Analysis, Novel Updates, and Flatness Condition
- A Vector Symbolic Approach to Multiple Instance Learning
- NALA_MAINZ at BLP-2025 Task 2: A Multi-agent Approach for Bangla Instruction to Python Code Generation
- Generative Augmented Reality: Paradigms, Technologies, and Future Applications
- GCL-OT: Graph Contrastive Learning with Optimal Transport for Heterophilic Text-Attributed Graphs
- When Structure Doesn't Help: LLMs Do Not Read Text-Attributed Graphs as Effectively as We Expected
- SVG360: Editable Multiview Vector Graphics from a Single SVG
- Revisiting Audio-language Pretraining for Learning General-purpose Audio Representation
- Fermions and Supersymmetry in Neural Network Field Theories
- SAM 3: Segment Anything with Concepts
- A Machine Learning-Driven Solution for Denoising Inertial Confinement Fusion Images
- Password Strength Analysis Through Social Network Data Exposure: A Combined Approach Relying on Data Reconstruction and Generative Models
- DDTime: Dataset Distillation with Spectral Alignment and Information Bottleneck for Time-Series Forecasting
- PairHuman: A High-Fidelity Photographic Dataset for Customized Dual-Person Generation
- Motion Transfer-Enhanced StyleGAN for Generating Diverse Macaque Facial Expressions
- Large language models for automated PRISMA 2020 adherence checking
- Dataset Distillation for Pre-Trained Self-Supervised Vision Models
- NoPo-Avatar: Generalizable and Animatable Avatars from Sparse Inputs without Human Poses
- SceneDesigner: Controllable Multi-Object Image Generation with 9-DoF Pose Manipulation
- TriDiff-4D: Fast 4D Generation through Diffusion-based Triplane Re-posing
- Dexterity from Smart Lenses: Multi-Fingered Robot Manipulation with In-the-Wild Human Demonstrations
- PartUV: Part-Based UV Unwrapping of 3D Meshes
- Enhancing Forex Forecasting Accuracy: The Impact of Hybrid Variable Sets in Cognitive Algorithmic Trading Systems
- Evolution Strategies at the Hyperscale
- Late-decoupled 3D Hierarchical Semantic Segmentation with Semantic Prototype Discrimination based Bi-branch Supervision
- Codec2Vec: Self-Supervised Speech Representation Learning Using Neural Speech Codecs
- Faster Certified Symmetry Breaking Using Orders With Auxiliary Variables
- MedBayes-Lite: A Clinical Uncertainty Governance Layer for Risk-Aware Medical Decision Support
- SAM 3D: 3Dfy Anything in Images
- From Polynomials to Databases: Arithmetic Structures in Galois Theory
- SurgSLOT: Segment Anything in Surgical Videos via Semantic Long-term Tracking
- Rate-optimal community detection near the KS threshold via node-robust algorithms
- Bridging VLMs and Embodied Intelligence with Deliberate Practice Policy Optimization
- Variational Quantum Integrated Sensing and Communication
- Toward Artificial Palpation: Representation Learning of Touch on Soft Bodies
- Green Resilience of Cyber-Physical Systems: Doctoral Dissertation
- gfnx: Fast and Scalable Library for Generative Flow Networks in JAX
- Formal Abductive Latent Explanations for Prototype-Based Networks
- Almost Sure Convergence Analysis of Differentially Private Stochastic Gradient Methods
- Consciousness in Artificial Intelligence? A Framework for Classifying Objections and Constraints
- Synthesis of Safety Specifications for Probabilistic Systems
- Integrating Symbolic Natural Language Understanding and Language Models for Word Sense Disambiguation
- ECPv2: Fast, Efficient, and Scalable Global Optimization of Lipschitz Functions
- An Exterior-Embedding Neural Operator Framework for Preserving Conservation Laws
- Failure of uniform laws of large numbers for subdifferentials and beyond
- POMA-3D: The Point Map Way to 3D Scene Understanding
- NutriScreener: Retrieval-Augmented Multi-Pose Graph Attention Network for Malnourishment Screening
- Interfacial and bulk switching MoS2 memristors for an all-2D reservoir computing framework
- Lite Any Stereo: Efficient Zero-Shot Stereo Matching
- Toward Valid Generative Clinical Trial Data with Survival Endpoints
- Broad stochastic configuration residual learning system for norm-convergent universal approximation
- FairLRF: Achieving Fairness through Sparse Low Rank Factorization
- Utilizing Large Language Models for Zero-Shot Medical Ontology Extension from Clinical Notes
- Progressive Supernet Training for Efficient Visual Autoregressive Modeling
- WER is Unaware: Assessing How ASR Errors Distort Clinical Understanding in Patient Facing Dialogue
- The Oracle and The Prism: A Decoupled and Efficient Framework for Generative Recommendation Explanation
- EOGS++: Earth Observation Gaussian Splatting with Internal Camera Refinement and Direct Panchromatic Rendering
- Supervised Contrastive Learning for Few-Shot AI-Generated Image Detection and Attribution
- Beyond Tokens in Language Models: Interpreting Activations through Text Genre Chunks
- Investigating Optical Flow Computation: From Local Methods to a Multiresolution Horn-Schunck Implementation with Bilinear Interpolation
- Enhancing Multi-Camera Gymnast Tracking Through Domain Knowledge Integration
- TurkColBERT: A Benchmark of Dense and Late-Interaction Models for Turkish Information Retrieval
- BoxingVI: A Multi-Modal Benchmark for Boxing Action Recognition and Localization
- Dynamic Participation in Federated Learning: Benchmarks and a Knowledge Pool Plugin
- YOWO: You Only Walk Once to Jointly Map An Indoor Scene and Register Ceiling-mounted Cameras
- MiMo-Embodied: X-Embodied Foundation Model Technical Report
- Hard Samples, Bad Labels: Robust Loss Functions That Know When to Back Off
- ODE-ViT: Plug & Play Attention Layer from the Generalization of the ViT as an Ordinary Differential Equation
- Acquisition Time-Informed Breast Tumor Segmentation from Dynamic Contrast-Enhanced MRI
- Physics-Informed Machine Learning for Efficient Sim-to-Real Data Augmentation in Micro-Object Pose Estimation
- Online Operator Design in Evolutionary Optimization for Flexible Job Shop Scheduling via Large Language Models
- Large Language Model-Based Reward Design for Deep Reinforcement Learning-Driven Autonomous Cyber Defense
- Correlation-Aware Feature Attribution Based Explainable AI
- Music Recommendation with Large Language Models: Challenges, Opportunities, and Evaluation
- FastSurfer-CC: A robust, accurate, and comprehensive framework for corpus callosum morphometry
- Arctic-Extract Technical Report
- Optimizing Quantum Key Distribution Network Performance using Graph Neural Networks
- PersonaDrift: A Benchmark for Temporal Anomaly Detection in Language-Based Dementia Monitoring
- StreetView-Waste: A Multi-Task Dataset for Urban Waste Management
- ESGBench: A Benchmark for Explainable ESG Question Answering in Corporate Sustainability Reports
- Beyond Visual Cues: Leveraging General Semantics as Support for Few-Shot Segmentation
- From generative AI to the brain: five takeaways
- Graph Neural Networks for Surgical Scene Segmentation
- CylinderDepth: Cylindrical Spatial Attention for Multi-View Consistent Self-Supervised Surround Depth Estimation
- Generative Modeling of Clinical Time Series via Latent Stochastic Differential Equations
- End-to-End Motion Capture from Rigid Body Markers with Geodesic Loss
- Pharos-ESG: A Framework for Multimodal Parsing, Contextual Narration, and Hierarchical Labeling of ESG Report
- Classification of worldwide news articles by perceived quality, 2018-2024
- Collaborative Management for Chronic Diseases and Depression: A Double Heterogeneity-based Multi-Task Learning Method
- AICC: Parse HTML Finer, Make Models Better -- A 7.3T AI-Ready Corpus Built by a Model-Based HTML Parser
- CorrectHDL: Agentic HDL Design with LLMs Leveraging High-Level Synthesis as Reference
- Robot Metacognition: Decision Making with Confidence for Tool Invention
- CAMS: Towards Compositional Zero-Shot Learning via Gated Cross-Attention and Multi-Space Disentanglement
- Optimal Fairness under Local Differential Privacy
- Are Foundation Models Useful for Bankruptcy Prediction?
- Unsupervised Graph Neural Network Framework for Balanced Multipatterning in Advanced Electronic Design Automation Layouts
- Reducing Instability in Synthetic Data Evaluation with a Super-Metric in MalDataGen
- DetailSemNet: Elevating Signature Verification through Detail-Semantic Integration
- Multi-Order Matching Network for Alignment-Free Depth Super-Resolution
- Learning from Sufficient Rationales: Analysing the Relationship Between Explanation Faithfulness and Token-level Regularisation Strategies
- CRISTAL: Real-time Camera Registration in Static LiDAR Scans using Neural Rendering
- VersaPants: A Loose-Fitting Textile Capacitive Sensing System for Lower-Body Motion Capture
- NLP Datasets for Idiom and Figurative Language Tasks
- Aerial View River Landform Video segmentation: A Weakly Supervised Context-aware Temporal Consistency Distillation Approach
- Arbitrary-Resolution and Arbitrary-Scale Face Super-Resolution with Implicit Representation Networks
- Warm-Starting Iterative Gaussian Processes for Faster Sequential Inference
- ChangeDINO: DINOv3-Driven Building Change Detection in Optical Remote Sensing Imagery
- WWE-UIE: A Wavelet & White Balance Efficient Network for Underwater Image Enhancement
- Learning-Enhanced Observer for Linear Time-Invariant Systems with Parametric Uncertainty
- BioBench: A Blueprint to Move Beyond ImageNet for Scientific ML Benchmarks
- Sparse Autoencoders are Topic Models
- Upsample Anything: A Simple and Hard to Beat Baseline for Feature Upsampling
- Optimizing 3D Gaussian Splattering for Mobile GPUs
- Explainable AI for Diabetic Retinopathy Detection Using Deep Learning with Attention Mechanisms and Fuzzy Logic-Based Interpretability
- Distributed Agent Reasoning Across Independent Systems With Strict Data Locality
- Graph Diffusion Counterfactual Explanation
- Building temporally coherent 3D maps with VGGT for memory-efficient Semantic SLAM
- SeSE: Black-Box Uncertainty Quantification for Large Language Models Based on Structural Information Theory
- TetraSDF: Analytic Isosurface Extraction with Multi-resolution Tetrahedral Grid
- Weakly Supervised Segmentation and Classification of Alpha-Synuclein Aggregates in Brightfield Midbrain Images
- Mem-MLP: Real-Time 3D Human Motion Generation from Sparse Inputs
- How Robot Dogs See the Unseeable: Improving Visual Interpretability via Peering for Exploratory Robots
- GeoPTH: A Lightweight Approach to Category-Based Trajectory Retrieval via Geometric Prototype Trajectory Hashing
- Revisiting Fairness-aware Interactive Recommendation: Item Lifecycle as a Control Knob
- SwiTrack: Tri-State Switch for Cross-Modal Object Tracking
- Real-Time Inference for Distributed Multimodal Systems under Communication Delay Uncertainty
- Mind the Gap: Bridging Prior Shift in Realistic Few-Shot Crop-Type Classification
- FlipVQA: Scaling Multi-modal Instruction Tuning via Textbook-to-Knowledge Synthesis
- Unsupervised Image Classification with Adaptive Nearest Neighbor Selection and Cluster Ensembles
- PSM: Prompt Sensitivity Minimization via LLM-Guided Black-Box Optimization
- Causal Synthetic Data Generation in Recruitment
- From Performance to Understanding: A Vision for Explainable Automated Algorithm Design
- A Switching Framework for Online Interval Scheduling with Predictions
- ART: A Graph-based Framework for Investigating Illicit Activity in Monero via Address-Ring-Transaction Structures
- CausalMamba: Interpretable State Space Modeling for Temporal Rumor Causality
- PrIntMesh: Precise Intersection Surfaces for 3D Organ Mesh Reconstruction
- Domain-Shared Learning and Gradual Alignment for Unsupervised Domain Adaptation Visible-Infrared Person Re-Identification
- FOOTPASS: A Multi-Modal Multi-Agent Tactical Context Dataset for Play-by-Play Action Spotting in Soccer Broadcast Videos
- Target Refocusing via Attention Redistribution for Open-Vocabulary Semantic Segmentation: An Explainability Perspective
- Achieving Skilled and Reliable Daily Probabilistic Forecasts of Wind Power at Subseasonal-to-Seasonal Timescales over France
- Layer-wise Noise Guided Selective Wavelet Reconstruction for Robust Medical Image Segmentation
- Simba: Towards High-Fidelity and Geometrically-Consistent Point Cloud Completion via Transformation Diffusion
- Approximation rates of quantum neural networks for periodic functions via Jackson's inequality
- Enhancing Nuclear Reactor Core Simulation through Data-Based Surrogate Models
- TS-PEFT: Unveiling Token-Level Redundancy in Parameter-Efficient Fine-Tuning
- Labels Matter More Than Models: Rethinking the Unsupervised Paradigm in Time Series Anomaly Detection
- LEGO-SLAM: Language-Embedded Gaussian Optimization SLAM
- A Spatial Semantics and Continuity Perception Attention for Remote Sensing Water Body Change Detection
- Blind Quality Enhancement of Compressed Video via Fine-Grained Degradation-Guided Sequential Inference
- How Noise Benefits AI-generated Image Detection
- CoSP: Reconfigurable Multi-State Metamaterial Inverse Design via Contrastive Pretrained Large Language Model
- VTinker: Guided Flow Upsampling and Texture Mapping for High-Resolution Video Frame Interpolation
- ELPO: Ensemble Learning Based Prompt Optimization for Large Language Models
- Clustered Error Correction with Grouped 4D Gaussian Splatting
- Rotation-Parameterized Graph Fractional Fourier Transform: Definition, Properties, and Optimal Filtering
- T2T-VICL: Cross-Task Visual In-Context Learning via Implicit Text-Driven VLMs
- Data-Efficient and Robust Trajectory Generation through Pathlet Dictionary Learning
- HybSpecNet: A Critical Analysis of Architectural Instability in Hybrid-Domain Spectral GNNs
- Rad-GS: Radar-Vision Integration for 3D Gaussian Splatting SLAM in Outdoor Environments
- Future-Back Threat Modeling: A Foresight-Driven Security Framework
- AssayMatch: Learning to Select Data for Molecular Activity Models
- SpectralTrain: A Universal Framework for Hyperspectral Image Classification
- L-JacobiNet and S-JacobiNet: An Analysis of Adaptive Generalization, Stabilization, and Spectral Domain Trade-offs in GNNs
- Operon: Incremental Construction of Ragged Data via Named Dimensions
- VideoSeg-R1:Reasoning Video Object Segmentation via Reinforcement Learning
- A Hybrid Proactive And Predictive Framework For Edge Cloud Resource Management
- Early science acceleration experiments with GPT-5
- ILoRA: Federated Learning with Low-Rank Adaptation for Heterogeneous Client Aggregation
- Gauge-Equivariant Graph Networks via Self-Interference Cancellation
- Change-of-Basis Pruning via Rotational Invariance
- Artificial Intelligence and Accounting Research: A Framework and Agenda
- Learning Tractable Distributions Of Language Model Continuations
- Semantic Glitch: Agency and Artistry in an Autonomous Pixel Cloud
- An Aligned Constraint Programming Model For Serial Batch Scheduling With Minimum Batch Size
- LLMs-based Augmentation for Domain Adaptation in Long-tailed Food Datasets
- Liars' Bench: Evaluating Lie Detectors for Language Models
- Crossmodal learning for Crop Canopy Trait Estimation
- FrontierGS: Progressive View-Space Frontier Expansion for Sparse 3D Gaussian Splatting
- HGCN2SP: Hierarchical Graph Convolutional Network for Two-Stage Stochastic Programming
- Towards a Safer and Sustainable Manufacturing Process: Material classification in Laser Cutting Using Deep Learning
- Physically Realistic Sequence-Level Adversarial Clothing for Robust Human-Detection Evasion
- SpellForger: Prompting Custom Spell Properties In-Game using BERT supervised-trained model
- Exploiting Inter-Sample Information for Long-tailed Out-of-Distribution Detection
- MUSEKG: A Knowledge Graph Over Museum Collections
- Physics-Guided Inductive Spatiotemporal Kriging for PM2.5 with Satellite Gradient Constraints
- Synergizing Deconfounding and Temporal Generalization For Time-series Counterfactual Outcome Estimation
- InfCode-C++: Intent-Guided Semantic Retrieval and AST-Structured Search for C++ Issue Resolution
- InfCode: Adversarial Iterative Refinement of Tests and Patches for Reliable Software Issue Resolution
- QueryGym: A Toolkit for Reproducible LLM-Based Query Reformulation
- Digital Agriculture Sandbox for Collaborative Research
- UniDGF: A Unified Detection-to-Generation Framework for Hierarchical Object Visual Recognition
- Machine Learning Epidemic Predictions Using Agent-based Wireless Sensor Network Models
- Efficient Chromosome Parallelization for Precision Medicine Genomic Workflows
- TOD-ProcBench: Benchmarking Complex Instruction-Following in Task-Oriented Dialogues
- A Primer on Quantum Machine Learning
- Externally Validated Breast Ultrasound Segmentation via Multi-task Learning with BI-RADS-Consistent Morphological Priors
- Self-supervised and Multi-fidelity Learning for Extended Predictive Soil Spectroscopy
- Machine Learning vs. Randomness: Challenges in Predicting Binary Options Movements
- Click2Graph: Interactive Panoptic Video Scene Graphs from a Single Click
- Automated Interpretable 2D Video Extraction from 3D Echocardiography
- Boosting Medical Visual Understanding From Multi-Granular Language Learning
- iLTM: Integrated Large Tabular Model