Papers
Sat 11 Oct 2025
231 papers
- Parameter-Efficient and Personalized Federated Training of Generative Models at the EdgeDiffusion models → Robustness, privacy and adversarial aspects
- Output Supervision Can Obfuscate the Chain of ThoughtLLM reasoning → Prompting and chain-of-thought reasoning
- Taxonomy and Trends in Reinforcement Learning for Robotics and Control Systems: A Structured ReviewDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Agro-Consensus: Semantic Self-Consistency in Vision-Language Models for Crop Disease Management in Developing CountriesLLM reasoning → Clinical and biomedical applications +1
- CoIDO: Efficient Data Selection for Visual Instruction Tuning via Coupled Importance-Diversity OptimizationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- ESCA: Contextualizing Embodied Agents via Scene-Graph GenerationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Revisiting the UID Hypothesis in LLM Reasoning TracesLLM reasoning → Reasoning benchmarks and evaluation
- DynaSpec: Context-aware Dynamic Speculative Sampling for Large-Vocabulary Language ModelsEfficient LLM inference and serving → Speculative decoding
- ADMIT: Few-shot Knowledge Poisoning Attacks on RAG-based Fact CheckingRetrieval-augmented generation → Privacy and security of RAG
- Local-Global Context-Aware and Structure-Preserving Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- SimKey: A Semantically Aware Key Module for Watermarking Language ModelsLLM safety and security → Watermarking generated content and models
- Towards Safe Maneuvering of Double-Ackermann-Steering Robots with a Soft Actor-Critic FrameworkDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Sample-Efficient Online Learning in LM Agents via Hindsight Trajectory RewritingLLM agents and tool use → Agent memory systems
- SP-MoE: Speculative Decoding and Prefetching for Accelerating MoE-based Model InferenceMixture-of-experts → Efficient MoE training and inference systems +1
- MatryoshkaThinking: Recursive Test-Time Scaling Enables Efficient ReasoningLLM reasoning → Test-time compute and efficient thinking
- Reallocating Attention Across Layers to Reduce Multimodal HallucinationLLM reasoning → Multimodal reasoning
- ArtPerception: ASCII Art-based Jailbreak on LLMs with Recognition Pre-testLLM safety and security → Jailbreaking
- Simulating Viva Voce Examinations to Evaluate Clinical Reasoning in Large Language ModelsLLM reasoning → Clinical and biomedical applications
- X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action ModelVision-language-action models → Generalist VLA models and benchmarks
- MetaBreak: Jailbreaking Online LLM Services via Special Token ManipulationLLM safety and security → Jailbreaking
- Backdoor Collapse: Eliminating Unknown Threats via Known Backdoor Aggregation in Language ModelsLLM safety and security → Backdoor and data poisoning attacks
- Robust Exploratory Stopping under Ambiguity in Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Audit-of-Understanding: Posterior-Constrained Inference for Mathematical Reasoning in Language ModelsLLM reasoning → Test-time compute and efficient thinking
- ProGress: Structured Music Generation via Graph Diffusion and Hierarchical Music AnalysisDiffusion models → Audio, speech and music
- Reasoning-Enhanced Large Language Models for Molecular Property PredictionLLM reasoning → Clinical and biomedical applications
- UF-RNN: Real-Time Adaptive Motion Generation Using Uncertainty-Driven Foresight PredictionOffline RL and imitation learning from data → Robot learning from demonstration
- Adaptive Dual Reasoner: Large Reasoning Models Can Think Efficiently by Hybrid ReasoningLLM reasoning → Test-time compute and efficient thinking
- PIXEL: Adaptive Steering Via Position-wise Injection with eXact Estimated Levels under Subspace CalibrationMechanistic interpretability → Activation steering methods
- Performance Index Shaping for Closed-loop Optimal ControlDeep reinforcement learning methods → Deep RL algorithms and representations
- RLFR: Extending Reinforcement Learning for LLMs with Flow EnvironmentLLM reasoning → Reinforcement learning for reasoning
- Don't Just Fine-tune the Agent, Tune the EnvironmentLLM agents and tool use → Reinforcement learning for LLM agents
- Auditing medical multi-agent AI reveals risks of false consensusLLM agents and tool use → Medical and scientific domain agents
- A Survey of Inductive Reasoning for Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Concise Reasoning in the Lens of Lagrangian OptimizationLLM reasoning → Test-time compute and efficient thinking
- SaFiRe: Saccade-Fixation Reiteration with Mamba for Referring Image SegmentationState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Multi-Scale Diffusion Transformer for Jointly Simulating User Mobility and Mobile Traffic PatternDiffusion models → Diffusion and flow policies for robotics
- ReMix: Towards a Unified View of Consistent Character Generation and EditingDiffusion models → Image generation, text-to-image and editing
- CompassNav: Steering From Path Imitation To Decision Understanding In NavigationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Rethinking Entropy Interventions in RLVR: An Entropy Change PerspectiveLLM reasoning → Reinforcement learning for reasoning
- Robust Learning of Diffusion Models with Extremely Noisy ConditionsDiffusion models → Diffusion foundations and sampling
- CharCom: Composable Identity Control for Multi-Character Story IllustrationDiffusion models → Image generation, text-to-image and editing
- CacheClip: Accelerating RAG with Effective KV Cache ReuseRetrieval-augmented generation → Generation and context integration +1
- Ctrl-World: A Controllable Generative World Model for Robot ManipulationWorld models → Embodied and robot world models +1
- DixitWorld: Evaluating Multimodal Abductive Reasoning in Vision-Language Models with Multi-Agent Dixit GameplayLLM reasoning → Multimodal reasoning +2
- Preference-driven Knowledge Distillation for Few-shot Node ClassificationKnowledge distillation → Graph neural network distillation
- LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale CorporaRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Answer-Consistent Chain-of-thought Reinforcement Learning For Multi-modal Large Langauge ModelsLLM reasoning → Multimodal reasoning
- Stop When Enough: Adaptive Early-Stopping for Chain-of-Thought ReasoningLLM reasoning → Test-time compute and efficient thinking
- Pharmacist: Safety Alignment Data Curation for Large Language Models against Harmful Fine-tuningLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- A-IPO: Adaptive Intent-driven Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- StepFly: Agentic Troubleshooting Guide Automation for Incident DiagnosisLLM agents and tool use → Software engineering coding agents
- SecureWebArena: A Holistic Security Evaluation Benchmark for LVLM-based Web AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Unilaw-R1: A Large Language Model for Legal Reasoning with Reinforcement Learning and Iterative InferenceLLM reasoning → Reasoning for agents, planning and code
- CLMN: Concept based Language Models via Neural Symbolic ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- One4Many-StablePacker: An Efficient Deep Reinforcement Learning Framework for the 3D Bin Packing ProblemDeep reinforcement learning methods → RL for robot navigation and UAV control
- Think Twice to See More: Iterative Visual Reasoning in Medical VLMsLLM reasoning → Clinical and biomedical applications +1
- ALLOY: Generating Reusable Agent Workflows from User DemonstrationLLM agents and tool use → General LLM agent frameworks and benchmarks
- SwarmSys: Decentralized Swarm-Inspired Agents for Scalable and Adaptive ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- Experience-Efficient Model-Free Deep Reinforcement Learning Using Pre-TrainingDeep reinforcement learning methods → RL theory and sample complexity
- Path Drift in Large Reasoning Models:How First-Person Commitments Override SafetyLLM reasoning → Prompting and chain-of-thought reasoning
- MIMO: A medical vision language model with visual referring multimodal input and pixel grounding multimodal outputMultimodal LLMs / vision-language models → Medical vision-language models
- RIPRAG: Hack a Black-box Retrieval-Augmented Generation Question-Answering System with Reinforcement LearningRetrieval-augmented generation → Privacy and security of RAG +1
- Interaction Protocol Shapes Moral Judgment in Multi-Agent DebateLLM agents and tool use → Social simulation and multi-agent debate
- Unifying Tree Search Algorithm and Reward Design for LLM Reasoning: A SurveyLLM reasoning → Test-time compute and efficient thinking +1
- ATRos: Learning Energy-Efficient Agile Locomotion for Wheeled-legged RobotsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action ModelsVision-language-action models → Efficient VLA inference and adaptation +2
- Follow My Lead: Logical Fallacy Classification with Knowledge-Augmented LLMsLLM reasoning → Reasoning benchmarks and evaluation
- J-RAS: Mutual Adaptation for Medical Image Segmentation via Contrastive Retrieval-Augmented Joint OptimizationRetrieval-augmented generation → Medical and biomedical RAG
- Emergence of Spatial Representation in an Actor-Critic Agent with Hippocampus-Inspired Sequence GeneratorDeep reinforcement learning methods → Deep RL algorithms and representations
- Conformal Sparsification for Bandwidth-Efficient Edge-Cloud Speculative DecodingEfficient LLM inference and serving → Early exit and edge inference
- Denoising Diffusion as a New Framework for Underwater ImagesDiffusion models → Inverse problems and image restoration
- RAG-IGBench: Innovative Evaluation for RAG-based Interleaved Generation in Open-domain Question Answering
- Intelligent Agents with Emotional Intelligence: Current Trends, Challenges, and Future Prospects
- BACE: Behavior-Adaptive Connectivity Estimation for Interpretable Graphs of Neural Dynamics
- CTR-LoRA: Curvature-Aware and Trust-Region Guided Low-Rank Adaptation for Large Language Models
- Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use
- Hydrogen production from blended waste biomass: pyrolysis, thermodynamic-kinetic analysis and AI-based modelling
- Exploring the Potential of Citiverses for Regulatory Learning
- BenchPress: A Human-in-the-Loop Annotation System for Rapid Text-to-SQL Benchmark Curation
- ConsistencyAI: A Benchmark to Assess LLMs' Factual Consistency When Responding to Different Demographic Groups
- EvoEdit: Evolving Null-space Alignment for Robust and Efficient Knowledge Editing
- Language steering in latent space to mitigate unintended code-switching
- On-device System of Compositional Multi-tasking in Large Language Models
- Information flow in multilayer perceptrons: an in-depth analysis
- Serialized EHR make for good text representations
- Identifying Autism-Related Neurobiomarkers Using Hybrid Deep Learning Models
- Meronymic Ontology Extraction via Large Language Models
- Seeing Hate Differently: Hate Subspace Modeling for Culture-Aware Hate Speech Detection
- EditCast3D: Single-Frame-Guided 3D Editing with Video Propagation and View Selection
- Mathematics with large language models as provers and verifiers
- Automatic Speech Recognition in the Modern Era: Architectures, Training, and Evaluation
- Scheming Ability in LLM-to-LLM Strategic Interactions
- Evolution of wartime discourse on Telegram: A comparative study of Ukrainian and Russian policymakers' communication before and after Russia's full-scale invasion of Ukraine
- Think as a Doctor: An Interpretable AI Approach for ICU Mortality Prediction
- Quantum Kernel Methods: Convergence Theory, Separation Bounds and Applications to Marketing Analytics
- Vision4PPG: Emergent PPG Analysis Capability of Vision Foundation Models for Vital Signs like Blood Pressure
- PointMAC: Meta-Learned Adaptation for Robust Test-Time Point Cloud Completion
- Transformer Model Detects Antidepressant Use From a Single Night of Sleep, Unlocking an Adherence Biomarker
- Generative Modeling of Aerosol State Representations
- Ortho-Fuse: Orthomosaic Generation for Sparse High-Resolution Crop Health Maps Through Intermediate Optical Flow Estimation
All 231
- Learning to Throw-Flip
- Prescribed-Basis Coefficient-to-Coefficient Neural Operator for Partial Differential Equations
- Ordinal Scale Traffic Congestion Classification with Multi-Modal Vision-Language and Motion Analysis
- Multi-View Graph Learning with Graph-Tuple
- Measuring What Matters: Connecting AI Ethics Evaluations to System Attributes, Hazards, and Harms
- Beyond Ethics: How Inclusive Innovation Drives Economic Returns in Medical AI
- LLM-Friendly Knowledge Representation for Customer Support
- End-to-end Automatic Speech Recognition and Speech Translation: Integration of Speech Foundational Models and LLMs
- Are LLMs Empathetic to All? Investigating the Influence of Multi-Demographic Personas on a Model's Empathy
- Mapping the Urban Mobility Intelligence Frontier: A Scientometric Analysis of Data-Driven Pedestrian Trajectory Prediction and Simulation
- KG-MAS: Knowledge Graph-Enhanced Multi-Agent Infrastructure for coupling physical and digital robotic environments
- On some practical challenges of conformal prediction
- Bridging Semantics & Structure for Software Vulnerability Detection using Hybrid Network Models
- Prepared for the Unknown: Adapting AIOps Capacity Forecasting Models to Data Changes
- The Algorithmic Regulator
- From Programs to Poses: Factored Real-World Scene Generation via Learned Program Libraries
- Grounded AI for Code Review: Resource-Efficient Large-Model Serving in Enterprise Pipelines
- SAM2LoRA: Composite Loss-Guided, Parameter-Efficient Finetuning of SAM2 for Retinal Fundus Segmentation
- Bridging Perspectives: Foundation Model Guided BEV Maps for 3D Object Detection and Tracking
- On the Entity-Level Alignment in Crosslingual Consistency
- Lost in the Middle: An Emergent Property from Information Retrieval Demands in LLMs
- VividAnimator: An End-to-End Audio and Pose-driven Half-Body Human Animation Framework
- Neural Variational Cut Posteriors without Upstream Data
- Unveiling Gamer Archetypes through Multi modal feature Correlations and Unsupervised Learning
- Enhancing the Cross-Size Generalization for Solving Vehicle Routing Problems via Continual Learning
- Opacity-Gradient Driven Density Control for Compact and Efficient Few-Shot 3D Gaussian Splatting
- Are Video Models Emerging as Zero-Shot Learners and Reasoners in Medical Imaging?
- MRI Brain Tumor Detection with Computer Vision
- Kernel Treatment Effects with Adaptively Collected Data
- Progressive Scale Convolutional Network for Spatio-Temporal Downscaling of Soil Moisture: A Case Study Over the Tibetan Plateau
- ImCoref-CeS: An Improved Lightweight Pipeline for Coreference Resolution with LLM-based Checker-Splitter Refinement
- The Achilles' Heel of LLMs: How Altering a Handful of Neurons Can Cripple Language Abilities
- SGM: A Statistical Godel Machine for Risk-Controlled Recursive Self-Modification
- Semantic Visual Anomaly Detection and Reasoning in AI-Generated Images
- Text2Token: Unsupervised Text Representation Learning with Token Target Prediction
- You only need 4 extra tokens: Synergistic Test-time Adaptation for LLMs
- A3RNN: Bi-directional Fusion of Bottom-up and Top-down Process for Developmental Visual Attention in Robots
- Learning to Guarantee Type Correctness in Code Generation through Type-Guided Program Synthesis
- Distributionally Robust Control with End-to-End Statistically Guaranteed Metric Learning
- Transport-Coupled Bayesian Flows for Molecular Graph Generation
- LOOPerSet: A Large-Scale Dataset for Data-Driven Polyhedral Compiler Optimization
- Weed Out, Then Harvest: Dual Low-Rank Adaptation is an Effective Noisy Label Detector for Noise-Robust Learning
- A Style-Based Profiling Framework for Quantifying the Synthetic-to-Real Gap in Autonomous Driving Datasets
- Revisiting Trust in the Era of Generative AI: Factorial Structure and Latent Profiles
- From Generic to Specialized: A Subspecialty Diagnostic System Powered by Self-Supervised Learning for Cervical Histopathology
- CauchyNet: Compact and Data-Efficient Learning using Holomorphic Activation Functions
- B2N3D: Progressive Learning from Binary to N-ary Relationships for 3D Object Grounding
- SAFER: Risk-Constrained Sample-then-Filter in Large Language Models
- Fairness Without Labels: Pseudo-Balancing for Bias Mitigation in Face Gender Classification
- Formally Verified Certification of Unsolvability of Temporal Planning Problems
- INR-Bench: A Unified Benchmark for Implicit Neural Representations in Multi-Domain Regression and Reconstruction
- Dejavu: Towards Experience Feedback Learning for Embodied Intelligence
- TCMA: Text-Conditioned Multi-granularity Alignment for Drone Cross-Modal Text-Video Retrieval
- LLMs are All You Need? Improving Fuzz Testing for MOJO with Large Language Models
- HccePose(BF): Predicting Front & Back Surfaces to Construct Ultra-Dense 2D-3D Correspondences for Pose Estimation
- ViConEx-Med: Visual Concept Explainability via Multi-Concept Token Transformer for Medical Image Analysis
- BrainForm: a Serious Game for BCI Training and Data Collection
- SSeg: Active Sparse Point-Label Augmentation for Semantic Segmentation
- Large Language Model Sourcing: A Survey
- BabyBabelLM: A Multilingual Benchmark of Developmentally Plausible Training Data
- BILLY: Steering Large Language Models via Merging Persona Vectors for Creative Generation
- Stroke Locus Net: Occluded Vessel Localization from MRI Modalities
- Color3D: Controllable and Consistent 3D Colorization with Personalized Colorizer
- A Unified Frequency Domain Decomposition Framework for Interpretable and Robust Time Series Forecasting
- Debiasing LLMs by Masking Unfairness-Driving Attention Heads
- YOLOv11-Litchi: Efficient Litchi Fruit Detection based on UAV-Captured Agricultural Imagery in Complex Orchard Environments
- Adversarial Attacks on Downstream Weather Forecasting Models: Application to Tropical Cyclone Trajectory Prediction
- Hybrid OCR-LLM Framework for Enterprise-Scale Document Information Extraction Under Copy-heavy Task
- PermLLM: Learnable Channel Permutation for N:M Sparse Large Language Models
- The Hybrid Multimodal Graph Index (HMGI): A Comprehensive Framework for Integrated Relational and Vector Search
- DeepFusionNet: Autoencoder-Based Low-Light Image Enhancement and Super-Resolution
- Multi Class Parkinson Disease Detection Based on Finger Tapping Using Attention Enhanced CNN BiLSTM
- ImmerIris: A Large-Scale Dataset and Benchmark for Off-Axis and Unconstrained Iris Recognition in Immersive Applications
- Training-Free In-Context Forensic Chain for Image Manipulation Detection and Localization
- Uncertainty-Aware Post-Detection Framework for Enhanced Fire and Smoke Detection in Compact Deep Learning Models
- Lighter-X: An Efficient and Plug-and-play Strategy for Graph-based Recommendation through Decoupled Propagation
- PANTHER: Generative Pretraining Beyond Language for Sequential User Behavior Modeling
- On the Rademacher Complexity of Graph Neural Networks: Unifying Expressivity and Geometry
- Cooperative Pseudo Labeling for Unsupervised Federated Classification
- Uncovering Singularities in Feynman Integrals via Machine Learning
- Gesplat: Robust Pose-Free 3D Reconstruction via Geometry-Guided Gaussian Splatting
- CardRewriter: Leveraging Knowledge Cards for Long-Tail Query Rewriting on Short-Video Platforms
- What Makes Looped Transformers Perform Better Than Non-Recursive Ones
- Tracking the Spatiotemporal Evolution of Landslide Scars Using a Vision Foundation Model: A Novel and Universal Framework
- Enabling High-Quality In-the-Wild Imaging from Severely Aberrated Metalens Bursts
- Diversity Augmentation of Dynamic User Preference Data for Boosting Personalized Text Summarizers
- How AI Companionship Develops: Evidence from a Longitudinal Study
- Improving Speech Emotion Recognition with Mutual Information Regularized Generative Model
- Gradient-based Model Shortcut Detection for Time Series Classification
- ADEPT: Continual Pretraining via Adaptive Expansion and Dynamic Decoupled Tuning
- SyncLipMAE: Contrastive Masked Pretraining for Audio-Visual Talking-Face Representation
- Probabilistic Hyper-Graphs using Multiple Randomly Masked Autoencoders for Semi-supervised Multi-modal Multi-task Learning
- OBsmith: LLM-Powered JavaScript Obfuscator Testing
- HUME: Measuring the Human-Model Performance Gap in Text Embedding Tasks
- Translution: Unifying Self-attention and Convolution for Adaptive and Relative Modeling
- Incomplete Multi-Label Image Recognition by Co-learning Semantic-Aware Features and Label Recovery
- DREAM: A Benchmark Study for Deepfake photoREalism AssessMent
- Complementary and Contrastive Learning for Audio-Visual Segmentation
- Belief Graphs with Reasoning Zones: Structure, Dynamics, and Epistemic Activation
- FOSSIL: Regret-Minimizing Curriculum Learning for Metadata-Free and Low-Data Mpox Diagnosis
- Failure-Driven Workflow Refinement
- P-4DGS: Predictive 4D Gaussian Splatting with 90× Compression
- Efficient Onboard Vision-Language Inference in UAV-Enabled Low-Altitude Economy Networks via LLM-Enhanced Optimization
- Lightweight Baselines for Medical Abstract Classification: DistilBERT with Cross-Entropy as a Strong Default
- Skill-Targeted Adaptive Training
- Q-Adapter: Visual Query Adapter for Extracting Textually-related Features in Video Captioning
- Calibrating Generative Models to Distributional Constraints
- SLEAN: Simple Lightweight Ensemble Analysis Network for Multi-Provider LLM Coordination: Design, Implementation, and Vibe Coding Bug Investigation Case Study
- Beyond the limitation of a single query: Train your LLM for query expansion with Reinforcement Learning
- Bidirectional Time-Frequency Pyramid Network for Enhanced Robust EEG Classification
- MTP-S2UT: Enhancing Speech-to-Speech Translation Quality with Multi-token Prediction
- Tight Robustness Certificates and Wasserstein Distributional Attacks for Deep Neural Networks
- CLoD-GS: Continuous Level-of-Detail via 3D Gaussian Splatting
- BurstDeflicker: A Benchmark Dataset for Flicker Removal in Dynamic Scenes
- FlareX: A Physics-Informed Dataset for Lens Flare Removal via 2D Synthesis and 3D Rendering
- Toward Machine Translation Literacy: How Lay Users Perceive and Rely on Imperfect Translations
- Generative Latent Video Compression
- Learning Joint Embeddings of Function and Process Call Graphs for Malware Detection
- Scaling Traffic Insights with AI and Language Model-Powered Camera Systems for Data-Driven Transportation Decision Making
- Neuro-inspired automated lens design
- An Unsupervised Time Series Anomaly Detection Approach for Efficient Online Process Monitoring of Additive Manufacturing
- Operationalizing AI: Empirical Evidence on MLOps Practices, User Satisfaction, and Organizational Context
- Homomorphic Mappings for Value-Preserving State Aggregation in Markov Decision Processes
- Clustering Result Re-guided Incomplete Multi-view Spectral Clustering
- A Multi-Strategy Framework for Enhancing Shatian Pomelo Detection in Real-World Orchards
- Beyond Fertility: Analyzing STRR as a Metric for Multilingual Tokenization Evaluation
- Explainable Human-in-the-Loop Segmentation via Critic Feedback Signals
- Structured Cooperative Multi-Agent Reinforcement Learning: a Bayesian Network Perspective
- Semi-disentangled spatiotemporal implicit neural representations of longitudinal neuroimaging data for trajectory classification
- Unpacking Hateful Memes: Presupposed Context and False Claims
- Perseus: Interactive Time Series Segmentation with Sparse Supervision via Stateful Memory