Papers
Sat 18 Oct 2025
163 papers
- TagRAG: Tag-guided Hierarchical Knowledge Graph Retrieval-Augmented GenerationRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Reinforcement Learning for Accelerator Beamline Control: a simulation-based approachDeep reinforcement learning methods → RL for energy, networks and operations
- Noise Aggregation Analysis Driven by Small-Noise Injection: Efficient Membership Inference for Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- Branch-and-Browse: Efficient and Controllable Web Exploration with Tree-Structured Reasoning and Action MemoryLLM reasoning → Reasoning for agents, planning and code +1
- CodeCRDT: Observation-Driven Coordination for Multi-Agent LLM Code GenerationLLM agents and tool use → Software engineering coding agents
- TritonRL: Training LLMs to Think and Code Triton Without CheatingLLM reasoning → Reinforcement learning for reasoning
- HYDRA: HYbrid knowledge Distillation and spectral Reconstruction Algorithm for high channel hyperspectral camera applicationsKnowledge distillation → Detection and dense prediction distillation
- Escaping Model Collapse via Synthetic Data Verification: Near-term Improvements and Long-term ConvergenceSynthetic data and self-improvement for LLMs → Model collapse from synthetic data
- Adversarial Reinforcement Learning for Robust Control of Fixed-Wing Aircraft under Model UncertaintyDeep reinforcement learning methods → RL for robot navigation and UAV control
- Unleashing Diverse Thinking Modes in LLMs through Multi-Agent CollaborationLLM reasoning → Reasoning for agents, planning and code +1
- Structured Interfaces for Automated Reasoning with 3D Scene GraphsLLM reasoning → Spatial and embodied reasoning
- MA-SAPO: Multi-Agent Reasoning for Score-Aware Prompt OptimizationLLM reasoning → Prompting and chain-of-thought reasoning +1
- On the Impossibility of Retrain Equivalence in Machine UnlearningLLM safety and security → Machine unlearning
- MoS-VLA: A Vision-Language-Action Model with One-Shot Skill AdaptationVision-language-action models → Reinforcement learning and post-training
- Count Counts: Motivating Exploration in LLM Reasoning with Count-based Intrinsic RewardsLLM reasoning → Reinforcement learning for reasoning
- Prior Knowledge Makes It Possible: From Sublinear Graph Algorithms to LLM Test-Time MethodsRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- VisionSelector: End-to-End Learnable Visual Token Compression for Efficient Multimodal LLMsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- SHIELD: Suppressing Hallucinations In LVLM Encoders via Bias and Vulnerability DefenseMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need?Retrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Ripple Effect Protocol: Coordinating Agent PopulationsLLM agents and tool use → General LLM agent frameworks and benchmarks
- A First Look at the Security Issues in the Model Context Protocol EcosystemLLM agents and tool use → Agent threats, guardrails and governance
- Fit for Purpose? Deepfake Detection in the Real WorldDiffusion models → Image generation, text-to-image and editing
- LANPO: Bootstrapping Language and Numerical Feedback for Reinforcement Learning in LLMsSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- Enhancing Compositional Reasoning in CLIP via Reconstruction and Alignment of Text DescriptionsLLM reasoning → Multimodal reasoning +1
- PRISMM-Bench: A Benchmark of Peer-Review Grounded Multimodal InconsistenciesMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Advancing Off-Road Autonomous Driving: The Large-Scale ORAD-3D Dataset and Comprehensive BenchmarksEnd-to-end autonomous driving → End-to-end system architecture
- Automated Composition of Agents: A Knapsack Approach for Agentic Component SelectionLLM agents and tool use → General LLM agent frameworks and benchmarks
- Check Yourself Before You Wreck Yourself: Selectively Quitting Improves LLM Agent SafetyLLM agents and tool use → Agent threats, guardrails and governance
- NP-Engine: Empowering Optimization Reasoning in Large Language Models with Verifiable Synthetic NP ProblemsLLM reasoning → Reinforcement learning for reasoning
- Buzz, Choose, Forget: A Meta-Bandit Framework for Bee-Like Decision MakingOffline RL and imitation learning from data → Imitation learning methods
- RAVEN: Robust Advertisement Video Violation Temporal Grounding via Reinforcement ReasoningLLM reasoning → Multimodal reasoning
- TrajSelector: Harnessing Latent Representations for Efficient and Effective Best-of-N in Large Reasoning ModelLLM reasoning → Test-time compute and efficient thinking
- Input Domain Aware MoE: Decoupling Routing Decisions from Task Optimization in Mixture of ExpertsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- RefAtomNet++: Advancing Referring Atomic Video Action Recognition using Semantic Retrieval based Multi-Trajectory MambaState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- EDVD-LLaMA: Explainable Deepfake Video Detection via Multimodal Large Language Model ReasoningLLM reasoning → Multimodal reasoning +1
- SSL4RL: Revisiting Self-supervised Learning as Intrinsic Reward for Visual-Language ReasoningLLM reasoning → Multimodal reasoning +2
- Modeling Expert Interactions in Sparse Mixture of Experts via Graph StructuresMixture-of-experts → MoE large language models
- REALM: An MLLM-Agent Framework for Open World 3D Reasoning Segmentation and Editing on Gaussian SplattingLLM reasoning → Spatial and embodied reasoning +1
- RGMem: Renormalization Group-inspired Memory Evolution for Language AgentsLLM agents and tool use → Agent memory systems
- ATA: A Neuro-Symbolic Approach to Implement Autonomous and Trustworthy AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- MoReBench: Evaluating Procedural and Pluralistic Moral Reasoning in Language Models, More than OutcomesLLM reasoning → Reasoning benchmarks and evaluation
- Before you <think>, monitor: Implementing Flavell's metacognitive framework in LLMsLLM reasoning → Test-time compute and efficient thinking
- EditMark: Watermarking Large Language Models based on Model EditingLLM safety and security → Watermarking generated content and models
- Integrating LLM and Diffusion-Based Agents for Social SimulationLLM agents and tool use → Social simulation and multi-agent debate
- Beyond Fixed Anchors: Precisely Erasing Concepts with Sibling Exclusive CounterpartsDiffusion models → Robustness, privacy and adversarial aspects
- Thinking About Thinking: Evaluating Reasoning in Post-Trained Language ModelsLLM reasoning → Test-time compute and efficient thinking
- RL makes MLLMs see better than SFTMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- DiffusionX: Efficient Edge-Cloud Collaborative Image Generation with Multi-Round Prompt EvolutionDiffusion models → Diffusion foundations and sampling
- UltraImageGen: Efficient Ultra-High-Resolution Image Generation with Hierarchical Local AttentionDiffusion models → Diffusion foundations and sampling
- MedRule-KG: A Knowledge-Graph--Steered Scaffold for Mathematical Reasoning with a Lightweight VerifierLLM reasoning → Mathematical reasoning
- DTKG: Dual-Track Knowledge Graph-Verified Reasoning Framework for Multi-Hop QALLM reasoning → Knowledge- and tool-augmented reasoning +1
- OpenLVLM-MIA: A Controlled Benchmark Revealing the Limits of Membership Inference Attacks on Large Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- QSVD: Efficient Low-rank Approximation for Unified Query-Key-Value Weight Compression in Low-Precision Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Cerberus: Real-Time Video Anomaly Detection via Cascaded Vision-Language ModelsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Do What You Say: Steering Vision-Language-Action Models via Runtime Reasoning-Action Alignment VerificationLLM reasoning → Spatial and embodied reasoning +1
- What Limits Agentic Systems Efficiency?LLM reasoning → Reasoning for agents, planning and code +1
- Certainty in Uncertainty: Reasoning over Uncertain Knowledge Graphs with Statistical Guarantees
- Multi-Agent Pose Uncertainty: A Differentiable Rendering Cram'er-Rao Bound
- Promptable Fire Segmentation: Unleashing SAM2's Potential for Real-Time Mobile Deployment with Strategic Bounding Box Guidance
- EdgeSync: Accelerating Edge-Model Updates for Data Drift through Adaptive Continuous Learning
- Bridging Accuracy and Interpretability: Deep Learning with XAI for Breast Cancer Detection
- What Causes Postoperative Aspiration?
- Fourier-Based GAN Fingerprint Detection using ResNet50
- When Models Can't Follow: Testing Instruction Adherence Across 256 LLMs
- Small Language Models Offer Significant Potential for Science Community
- Advances in Pre-trained Language Models for Domain-Specific Text Classification: A Systematic Review
- MIN-Merging: Merge the Important Neurons for Model Merging
- Hey Pentti, We Did It!: A Fully Vector-Symbolic Lisp
- Shock-Aware Physics-Guided Fusion-DeepONet Operator for Rarefied Micro-Nozzle Flows
- Graphical model for factorization and completion of relatively high rank tensors by sparse sampling
- Metrics and evaluations for computational and sustainable AI efficiency
- When Intelligence Fails: An Empirical Study on Why LLMs Struggle with Password Cracking
- From Flows to Words: Can Zero-/Few-Shot LLMs Detect Network Intrusions? A Grammar-Constrained, Calibrated Evaluation on UNSW-NB15
- Does GenAI Rewrite How We Write? An Empirical Study on Two-Million Preprints
- Robust Dynamic Staffing with Predictions
- Safire: Similarity Framework for Visualization Retrieval
- Universal and Transferable Attacks on Pathology Foundation Models
- Large-Scale AI and Foundation Models for Neuroscience: A Comprehensive Review
- Simulation-free Structure Learning for Stochastic Population Dynamics
- ARCO-BO: Adaptive Resource-aware COllaborative Bayesian Optimization for Heterogeneous Multi-Agent Design
- MultiVerse: A Multi-Turn Conversation Benchmark for Evaluating Large Vision and Language Models
- A Versatile Framework for Designing Group-Sparse Adversarial Attacks
- A three-step machine learning approach to predict market bubbles with financial news
- Self-Supervised Learning to Fly using Efficient Semantic Segmentation and Metric Depth Estimation for Low-Cost Autonomous UAVs
- Feedback Lunch: Learned Feedback Codes for Secure Communications
- Accelerated Learning on Large Scale Screens using Generative Library Models
- A Deep Learning Framework for Real-Time Image Processing in Medical Diagnostics: Enhancing Accuracy and Speed in Clinical Applications
- Asymptotically Stable Quaternion-valued Hopfield-structured Neural Network with Periodic Projection-based Supervised Learning Rules
- Fine-tuning of Large Language Models for Constituency Parsing Using a Sequence to Sequence Approach
- Uncertain Knowledge Graph Completion via Semi-Supervised Confidence Distribution Learning
- Symmetry and Generalisation in Neural Approximations of Renormalisation Transformations
- Atom-anchored LLMs speak Chemistry: A Retrosynthesis Demonstration
- Copy-Augmented Representation for Structure Invariant Template-Free Retrosynthesis
- Multi-Marginal Schr"odinger Bridge Matching
- Patronus: Safeguarding Text-to-Image Models against White-Box Adversaries
- AI-Generated Text Detection in Low-Resource Languages: A Case Study on Urdu
- Hallucination Benchmark for Speech Foundation Models
- Language over Content: Tracing Cultural Understanding in Multilingual Large Language Models
- BuildArena: A Physics-Aligned Interactive Benchmark of LLMs for Engineering Construction
- Urban-R1: Reinforced MLLMs Mitigate Geospatial Biases for Urban General Intelligence
All 163
- From Reviews to Actionable Insights: An LLM-Based Approach for Attribute and Feature Extraction
- ReviewGuard: Enhancing Deficient Peer Review Detection via LLM-Driven Data Augmentation
- NeurIPT: Foundation Model for Neural Interfaces
- Predicting life satisfaction using machine learning and explainable AI
- Watch Where You Move: Region-aware Dynamic Aggregation and Excitation for Gait Recognition
- Few-Label Multimodal Modeling of SNP Variants and ECG Phenotypes Using Large Language Models for Cardiovascular Risk Stratification
- Hey Pentti, We Did It Again!: Differentiable vector-symbolic types that prove polynomial termination
- Realizing LLMs' Causal Potential Requires Science-Grounded, Novel Benchmarks
- DIV-Nav: Open-Vocabulary Spatial Relationships for Multi-Object Navigation
- Image Categorization and Search via a GAT Autoencoder and Representative Models
- eDCF: Estimating Intrinsic Dimension using Local Connectivity
- Structured Temporal Causality for Interpretable Multivariate Time Series Anomaly Detection
- A Bayesian Framework for Symmetry Inference in Chaotic Attractors
- OOS-DSD: Improving Out-of-stock Detection in Retail Images using Auxiliary Tasks
- Edge-Based Speech Transcription and Synthesis for Kinyarwanda and Swahili Languages
- SCALAR: Self-Calibrating Adaptive Latent Attention Representation Learning
- Declarative Techniques for NL Queries over Heterogeneous Data
- ReviewSense: Transforming Customer Review Dynamics into Actionable Business Insights
- HGC-Avatar: Hierarchical Gaussian Compression for Streamable Dynamic 3D Avatars
- Agree, Disagree, Explain: Decomposing Human Label Variation in NLI through the Lens of Explanations
- NavQ: Learning a Q-Model for Foresighted Vision-and-Language Navigation
- Instance-Aware Pseudo-Labeling and Class-Focused Contrastive Learning for Weakly Supervised Domain Adaptive Segmentation of Electron Microscopy
- VIPAMIN: Visual Prompt Initialization via Embedding Selection and Subspace Expansion
- Enhancing Rotated Object Detection via Anisotropic Gaussian Bounding Box and Bhattacharyya Distance
- Colliding with Adversaries at ECML-PKDD 2025 Model Robustness Competition 1st Prize Solution
- Colliding with Adversaries at ECML-PKDD 2025 Adversarial Attack Competition 1st Prize Solution
- FrugalPrompt: Reducing Contextual Overhead in Large Language Models via Token Attribution
- LightGlueStick: a Fast and Robust Glue for Joint Point-Line Matching
- What Questions Should Robots Be Able to Answer? A Dataset of User Questions for Explainable Robotics
- A Relative Error-Based Evaluation Framework of Heterogeneous Treatment Effect Estimators
- AoI-Aware Task Offloading and Transmission Optimization for Industrial IoT Networks: A Branching Deep Reinforcement Learning Approach
- SPLite Hand: Sparsity-Aware Lightweight 3D Hand Pose Estimation
- Blending Learning to Rank and Dense Representations for Efficient and Effective Cascades
- Probing the Hidden Talent of ASR Foundation Models for L2 English Oral Assessment
- Humanoid-inspired Causal Representation Learning for Domain Generalization
- Demeter: A Parametric Model of Crop Plant Morphology from the Real World
- Conformal Prediction in The Loop: A Feedback-Based Uncertainty Model for Trajectory Optimization
- iWatchRoadv2: Pothole Detection, Geospatial Mapping, and Intelligent Road Governance
- Navigating through the hidden embedding space: steering LLMs to improve mental health assessment
- Cataract-LMM Large-Scale Multi-Source Multi-Task Benchmark for Deep Learning in Surgical Video Analysis
- MIRAD - A comprehensive real-world robust anomaly detection dataset for Mass Individualization
- The Burden of Interactive Alignment with Inconsistent Preferences
- End-to-End Argument Mining through Autoregressive Argumentative Structure Prediction
- Utilising Large Language Models for Generating Effective Counter Arguments to Anti-Vaccine Tweets
- MLCPD: A Unified Multi-Language Code Parsing Dataset with Universal AST Schema
- Sparse Transformer Architectures via Regularized Wasserstein Proximal Operator with L1 Prior
- MGTS-Net: Exploring Graph-Enhanced Multimodal Fusion for Augmented Time Series Forecasting
- Manual2Skill++: Connector-Aware General Robotic Assembly from Instruction Manuals via Vision-Language Models
- On the Provable Importance of Gradients for Language-Assisted Image Clustering
- Investigating the Association Between Text-Based Indications of Foodborne Illness from Yelp Reviews and New York City Health Inspection Outcomes (2023)
- TokenAR: Multiple Subject Generation via Autoregressive Token-level enhancement
- Memorizing Long-tail Data Can Help Generalization Through Composition
- Time-Embedded Algorithm Unrolling for Computational MRI
- Scaling Laws for Deepfake Detection
- Stroke2Sketch: Harnessing Stroke Attributes for Training-Free Sketch Generation
- Toward General Digraph Contrastive Learning: A Dual Spatial Perspective
- Lung Cancer Classification from CT Images Using ResNet
- Scaffold-Aware Generative Augmentation and Reranking for Enhanced Virtual Screening
- Synergizing chemical and AI communities for advancing laboratories of the future
- Disentangling Hyperedges through the Lens of Category Theory
- Instant Personalized Large Language Model Adaptation via Hypernetwork
- MuseTok: Symbolic Music Tokenization for Generation and Semantic Understanding
- Differentiable, Bit-shifting, and Scalable Quantization without training neural network from scratch