Papers
Sun 21 Sep 2025
197 papers
- Multimodal Prompt Decoupling Attack on the Safety Filters in Text-to-Image ModelsLLM safety and security → Vision-language and text-to-image safety
- Influence Guided Context Selection for Effective Retrieval-Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
- A Statistical Mixture-of-Experts Framework for EMG Artifact Removal in EEG: Empirical Insights and a Proof-of-Concept ApplicationMixture-of-experts → Medical and biomedical MoE
- Probabilistic Token Alignment for Large Language Model FusionLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Mind the Gap: Comparing Model- vs Agentic-Level Red Teaming with Action-Graph Observability on GPT-OSS-20BLLM agents and tool use → Agent threats, guardrails and governance +1
- Agentic Artificial Intelligence for Multistage Physics Experiments at a Large-Scale User Facility Particle AcceleratorLLM agents and tool use → Web, search, and research agents
- Graph Signal Generative Diffusion ModelsDiffusion models → Flow matching, time series and science
- Scalable Multi Agent Diffusion Policies for Coverage ControlDiffusion models → Diffusion and flow policies for robotics
- TraceHiding: Scalable Machine Unlearning for Mobility DataLLM safety and security → Machine unlearning
- Can Agents Judge Systematic Reviews Like Humans? Evaluating SLRs with LLM-based Multi-Agent SystemLLM agents and tool use → Web, search, and research agents
- MoEs Are Stronger than You Think: Hyper-Parallel Inference Scaling with RoELLM reasoning → Test-time compute and efficient thinking +1
- DT-NeRF: A Diffusion and Transformer-Based Optimization Approach for Neural Radiance Fields in 3D ReconstructionDiffusion models → 3D, point cloud and scene generation
- Ratatouille: Imitation Learning Ingredients for Real-world Social Robot NavigationOffline RL and imitation learning from data → Imitation learning methods
- SignalLLM: A General-Purpose LLM Agent Framework for Automated Signal ProcessingLLM agents and tool use → General LLM agent frameworks and benchmarks
- VaseVQA: Multimodal Agent and Benchmark for Ancient Greek PotteryLLM agents and tool use → Multimodal and embodied agents
- LifeAlign: Lifelong Alignment for Large Language Models with Memory-Augmented Focalized Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- FlagEval Findings Report: A Preliminary Evaluation of Large Reasoning Models on Automatically Verifiable Textual and Visual QuestionsLLM reasoning → Multimodal reasoning
- SynergyNet: Fusing Generative Priors and State-Space Models for Facial Beauty PredictionState-space sequence models (S4, Mamba) → Vision Mamba backbones
- SFT-TA: Supervised Fine-Tuned Agents in Multi-Agent LLMs for Automated Inductive Thematic AnalysisLLM agents and tool use → Medical and scientific domain agents
- ARE: Scaling Up Agent Environments and EvaluationsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Imagine2Act: Leveraging Object-Action Motion Consistency from Imagined Goals for Robotic ManipulationLLM reasoning → Spatial and embodied reasoning
- Stencil: Subject-Driven Generation with Context GuidanceDiffusion models → Image generation, text-to-image and editing
- MCTS-EP: Empowering Embodied Planning with Online Preference OptimizationLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- CoBEVMoE: Heterogeneity-aware Feature Fusion with Dynamic Mixture-of-Experts for Collaborative PerceptionMixture-of-experts → Vision mixture-of-experts
- AlignedGen: Aligning Style Across Generated ImagesDiffusion models → Image generation, text-to-image and editing
- CoPlanner: An Interactive Motion Planner with Contingency-Aware Diffusion for Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Localizing Malicious Outputs from CodeLLMLLM safety and security → Backdoor and data poisoning attacks
- Intention-aware Hierarchical Diffusion Model for Long-term Trajectory Anomaly DetectionDiffusion models → Diffusion and flow policies for robotics
- RALLM-POI: Retrieval-Augmented LLM for Zero-shot Next POI Recommendation with Geographical RerankingRetrieval-augmented generation → RAG for recommendation
- RoboManipBaselines: A Unified Framework for Imitation Learning in Robotic Manipulation across Real and Simulation EnvironmentsOffline RL and imitation learning from data → Robot manipulation imitation learning
- FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation TasksOffline RL and imitation learning from data → Robot manipulation imitation learning
- Orchestrate, Generate, Reflect: A VLM-Based Multi-Agent Collaboration Framework for Automated Driving Policy LearningEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies +1
- From Easy to Hard: The MIR Benchmark for Progressive Interleaved Multi-Image ReasoningLLM reasoning → Multimodal reasoning +1
- Adaptive Overclocking: Dynamic Control of Thinking Path Length via Real-Time Reasoning SignalsLLM reasoning → Test-time compute and efficient thinking
- Advancing Speech Understanding in Speech-Aware Language Models with GRPOLLM reasoning → Reinforcement learning for reasoning
- Penalizing Boundary Activation for Object Completeness in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Preference Distillation via Value based Reinforcement LearningLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Temporal Logic-Based Multi-Vehicle Backdoor Attacks against Offline RL Agents in End-to-end Autonomous DrivingLLM safety and security → Prompt injection and agent security
- Catching the Details: Self-Distilled RoI Predictors for Fine-Grained MLLM PerceptionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- K-DeCore: Facilitating Knowledge Transfer in Continual Structured Knowledge Reasoning via Knowledge DecouplingLLM reasoning → Test-time compute and efficient thinking
- ME-Mamba: Multi-Expert Mamba with Efficient Knowledge Capture and Fusion for Multimodal Survival AnalysisState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Temporal-Aware User Behaviour Simulation with Large Language Models for Recommender SystemsLLM agents and tool use → Agentic recommender systems
- LLMs as Layout Designers: Enhanced Spatial Reasoning for Content-Aware Layout GenerationLLM reasoning → Spatial and embodied reasoning
- Can GRPO Boost Complex Multimodal Table Understanding?LLM reasoning → Knowledge- and tool-augmented reasoning
- Dynamic Expert Specialization: Towards Catastrophic Forgetting-Free Multi-Domain MoE AdaptationMixture-of-experts → Mixture of LoRA experts
- DecipherGuard: Understanding and Deciphering Jailbreak Prompts for a Safer Deployment of Intelligent Software SystemsLLM safety and security → Jailbreaking
- seqBench: A Tunable Benchmark to Quantify Sequential Reasoning Limits of LLMsLLM reasoning → Test-time compute and efficient thinking
- AdaptiveGuard: Towards Adaptive Runtime Safety for LLM-Powered SoftwareLLM safety and security → Jailbreaking
- Towards an Adaptive Social Game-Playing Robot: An Offline Reinforcement Learning-Based FrameworkOffline RL and imitation learning from data → Offline RL algorithms
- ShadowServe: Interference-Free KV Cache Fetching for Distributed Prefix CachingEfficient LLM inference and serving → KV cache optimization
- Improving S&P 500 Volatility Forecasting through Regime-Switching Methods
- Uncovering Implicit Bias in Large Language Models with Concept Learning Dataset
- LEMs: A Primer On Large Execution Models
- STCast: Adaptive Boundary Alignment for Global and Regional Weather Forecasting
- Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning
- Are you sure? Measuring models bias in content moderation through uncertainty
- Advancing Audio-Visual Navigation Through Multi-Agent Collaboration in 3D Environments
- A Mutual Learning Method for Salient Object Detection with intertwined Multi-Supervision--Revised
- Data-driven approach to the design of complexing agents for trivalent transuranium elements
- Context Is What You Need: The Maximum Effective Context Window for Real World Limits of LLMs
- MDF-MLLM: Deep Fusion Through Cross-Modal Feature Alignment for Contextually Aware Fundoscopic Image Classification
- R1-Fuzz: Specializing Language Models for Textual Fuzzing via Reinforcement Learning
- MARS: A Malignity-Aware Backdoor Defense in Federated Learning
- Lightweight MobileNetV1+GRU for ECG Biometric Authentication: Federated and Adversarial Evaluation
- AUWave: A Data-Driven Model for Reconstructing Significant Wave Heights Using Sparse Observations
- Neural Network Based Framework for Passive Intermodulation Cancellation in MIMO Systems
- Similarity Field Theory: A Mathematical Framework for Intelligence
- nDNA -- the Semantic Helix of Artificial Cognition
- Change in Quantitative Bipolar Argumentation: Sufficient, Necessary, and Counterfactual Explanations
- Automatic Classification of Magnetic Chirality of Solar Filaments from H-Alpha Observations
- Joint Cooperative and Non-Cooperative Localization in WSNs with Distributed Scaled Proximal ADMM Algorithms
- Variational Task Vector Composition
- Event-Based Visual Teach-and-Repeat via Fast Fourier-Domain Cross-Correlation
- Automated Facility Enumeration for Building Compliance Checking using Door Detection and Large Language Models
- Task-Oriented Communications for 3D Scene Representation: Balancing Timeliness and Fidelity
- Training the next generation of physicians for artificial intelligence-assisted clinical neuroradiology: ASNR MICCAI Brain Tumor Segmentation (BraTS) 2025 Lighthouse Challenge education platform
- From Prediction to Understanding: Will AI Foundation Models Transform Brain Science?
- Learning and Optimization with 3D Orientations
- Computational Scaffolding of Composition, Value, and Color for Disciplined Drawing
- Optimized Learned Image Compression for Facial Expression Recognition
- Risk Comparisons in Linear Regression: Implicit Regularization Dominates Explicit Regularization
- Extending Automatic Machine Translation Evaluation to Book-Length Documents
- SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views
- Prospective Multi-Graph Cohesion for Multivariate Time Series Anomaly Detection
- Causal Representation Learning from Multimodal Clinical Records under Non-Random Modality Missingness
- AI-based Methods for Simulating, Sampling, and Predicting Protein Ensembles
- MirrorSAM2: Segment Mirror in Videos with Depth Perception
- Virtual Consistency for Audio Editing
- High Resolution UDF Meshing via Iterative Networks
- Prompt-Based Simplification for Plain Language using Spanish Language Models
- Active Learning for Machine Learning Driven Molecular Dynamics
- Point-RTD: Replaced Token Denoising for Pretraining Transformer Models on Point Clouds
- Guided and Unguided Conditional Diffusion Mechanisms for Structured and Semantically-Aware 3D Point Cloud Generation
- Conditional Policy Generator for Dynamic Constraint Satisfaction and Optimization
- Evolution of Concepts in Language Model Pre-Training
- Shall We Play a Game? Language Models for Open-ended Wargames
- Echo-Path: Pathology-Conditioned Echo Video Generation
- Ambiguous Medical Image Segmentation Using Diffusion Schr"odinger Bridge
- Dendritic Resonate-and-Fire Neuron for Effective and Efficient Long Sequence Modeling
- PMRT: A Training Recipe for Fast, 3D High-Resolution Aerodynamic Prediction
All 197
- Regularizing Extrapolation in Causal Inference
- Attention Consistency for LLMs Explanation
- A Comprehensive Performance Comparison of Traditional and Ensemble Machine Learning Models for Online Fraud Detection
- Detecting Urban PM2.5 Hotspots with Mobile Sensing and Gaussian Process Regression
- Self-Supervised Discovery of Neural Circuits in Spatially Patterned Neural Responses with Graph Neural Networks
- StyGazeTalk: Learning Stylized Generation of Gaze and Head Dynamics
- Time Series Forecasting Using a Hybrid Deep Learning Method: A Bi-LSTM Embedding Denoising Auto Encoder Transformer
- Unrolled Graph Neural Networks for Constrained Optimization
- Data-efficient Kernel Methods for Learning Hamiltonian Systems
- Flow-Induced Diagonal Gaussian Processes
- On the Simplification of Neural Network Architectures for Predictive Process Monitoring
- MaskVCT: Masked Voice Codec Transformer for Zero-Shot Voice Conversion With Increased Controllability via Multiple Guidances
- SAEC: Scene-Aware Enhanced Edge-Cloud Collaborative Industrial Vision Inspection with Multimodal LLM
- Delay compensation of multi-input distinct delay nonlinear systems via neural operators
- ScenGAN: Attention-Intensive Generative Model for Uncertainty-Aware Renewable Scenario Forecasting
- GRPOformer: Advancing Hyperparameter Optimization via Group Relative Policy Optimization
- The SAGES Critical View of Safety Challenge: A Global Benchmark for AI-Assisted Surgical Quality Assessment
- Uncertainty-Supervised Interpretable and Robust Evidential Segmentation
- Machine Learning for Campus Energy Resilience: Clustering and Time-Series Forecasting in Intelligent Load Shedding
- Prompt-with-Me: in-IDE Structured Prompt Management for LLM-Driven Software Engineering
- Ultra-short-term solar power forecasting by deep learning and data reconstruction
- DiffSyn: A Generative Diffusion Approach to Materials Synthesis Planning
- On the Limits of Tabular Hardness Metrics for Deep RL: A Study with the Pharos Benchmark
- SVeritas: Benchmark for Robust Speaker Verification under Diverse Conditions
- Governing Automated Strategic Intelligence
- SFN-YOLO: Towards Free-Range Poultry Detection via Scale-aware Fusion Networks
- MoCLIP-Lite: Efficient Video Recognition by Fusing CLIP with Motion Vectors
- HyRF: Hybrid Radiance Fields for Memory-efficient and High-quality Novel View Synthesis
- A Dual-Modulation Framework for RGB-T Crowd Counting via Spatially Modulated Attention and Adaptive Fusion
- Enhanced Detection of Tiny Objects in Aerial Images
- Informative Text-Image Alignment for Visual Affordance Learning with Foundation Models
- CardiacCLIP: Video-based CLIP Adaptation for LVEF Prediction in a Few-shot Manner
- TSGym: Design Choices for Deep Multivariate Time-Series Forecasting
- From domain-landmark graph learning to problem-landmark graph generation
- TactfulToM: Do LLMs Have the Theory of Mind Ability to Understand White Lies?
- Enhancing Performance and Calibration in Quantile Hyperparameter Optimization
- Geodesic Prototype Matching via Diffusion Maps for Interpretable Fine-Grained Recognition
- Learning Attribute-Aware Hash Codes for Fine-Grained Image Retrieval via Query Optimization
- Modeling Bottom-up Information Quality during Language Processing
- A Chain-of-thought Reasoning Breast Ultrasound Dataset Covering All Histopathology Categories
- AgriDoctor: A Multimodal Intelligent Assistant for Agriculture
- Towards Generalized Synapse Detection Across Invertebrate Species
- KAHAN: Knowledge-Augmented Hierarchical Analysis and Narration for Financial Data Narration
- Long-Tailed Out-of-Distribution Detection with Refined Separate Class Learning
- The Transfer Neurons Hypothesis: An Underlying Mechanism for Language Latent Space Transitions in Multilingual LLMs
- Efficient 3D Scene Reconstruction and Simulation from Sparse Endoscopic Views
- When Color-Space Decoupling Meets Diffusion for Adverse-Weather Image Restoration
- VAInpaint: Zero-Shot Video-Audio inpainting framework with LLMs-driven Module
- DeepEOSNet: Capturing the dependency on thermodynamic state in property prediction tasks
- DocIQ: A Benchmark Dataset and Feature Fusion Network for Document Image Quality Assessment
- Persistence Spheres: Bi-continuous Representations of Persistence Diagrams
- PTQTP: Post-Training Quantization to Trit-Planes for Large Language Models
- A Cross-Hierarchical Difference Feature Fusion Network Based on Multiscale Encoder-Decoder for Hyperspectral Change Detection
- VCE: Safe Autoregressive Image Generation via Visual Contrast Exploitation
- Leveraging Multiple Speech Enhancers for Non-Intrusive Intelligibility Prediction for Hearing-Impaired Listeners
- Optimal Transport for Handwritten Text Recognition in a Low-Resource Regime
- Hessian-guided Perturbed Wasserstein Gradient Flows for Escaping Saddle Points
- Deep Learning Inductive Biases for fMRI Time Series Classification during Resting-state and Movie-watching
- The 1st Solution for 7th LSVOS RVOS Track: SaSaSa2VA
- LLM-Assisted Semantic Guidance for Sparsely Annotated Remote Sensing Object Detection
- Graph Coloring for Multi-Task Learning
- Quantum Abduction: A New Paradigm for Reasoning under Uncertainty
- MO R-CNN: Multispectral Oriented R-CNN for Object Detection in Remote Sensing Image
- VidCLearn: A Continual Learning Approach for Text-to-Video Generation
- Quantum Adaptive Self-Attention for Financial Rebalancing: An Empirical Study on Automated Market Makers in Decentralized Finance
- AirQA: A Comprehensive QA Dataset for AI Research with Instance-Level Evaluation
- Leveraging RGB Images for Pre-Training of Event-Based Hand Pose Estimation
- Prototype-Based Pseudo-Label Denoising for Source-Free Domain Adaptation in Remote Sensing Semantic Segmentation
- SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?
- NeuFACO: Neural Focused Ant Colony Optimization for Traveling Salesman Problem
- Adaptive Graph Convolution and Semantic-Guided Attention for Multimodal Risk Detection in Social Networks
- Parameter-efficient fine-tuning (PEFT) of Vision Foundation Models for Atypical Mitotic Figure Classification
- Equip Pre-ranking with Target Attention by Residual Quantization
- Auditability and the Landscape of Distance to Multicalibration
- Cross-Attention with Confidence Weighting for Multi-Channel Audio Alignment
- Audio-Guided Dynamic Modality Fusion with Stereo-Aware Attention for Audio-Visual Navigation
- PGSTalker: Real-Time Audio-Driven Talking Head Generation via 3D Gaussian Splatting with Pixel-Aware Density Control
- Differential Privacy for Euclidean Jordan Algebra with Applications to Private Symmetric Cone Programming
- CUTE: A Multilingual Dataset for Enhancing Cross-Lingual Knowledge Transfer in Low-Resource Languages
- SLAM-Former: Putting SLAM into One Transformer
- CLaC at DISRPT 2025: Hierarchical Adapters for Cross-Framework Multi-lingual Discourse Relation Classification
- FedEL: Federated Elastic Learning for Heterogeneous Devices
- The Complexity of Finding Local Optima in Contrastive Learning
- PRISM: Precision-Recall Informed Data-Free Knowledge Distillation via Generative Diffusion
- DRES: Fake news detection by dynamic representation and ensemble selection
- Learning from Gene Names, Expression Values and Images: Contrastive Masked Text-Image Pretraining for Spatial Transcriptomics Representation Learning
- Rethinking Evaluation of Infrared Small Target Detection
- SAM-DCE: Addressing Token Uniformity and Semantic Over-Smoothing in Medical Segmentation
- Multi-task Pretraining for Enhancing Interpretable L2 Pronunciation Assessment
- Towards Interpretable and Efficient Attention: Compressing All by Contracting a Few
- mathttM3VIR: A Large-Scale Multi-Modality Multi-View Synthesized Benchmark Dataset for Image Restoration and Content Creation
- PhysHDR: When Lighting Meets Materials and Scene Geometry in HDR Reconstruction
- Large Language Models as End-to-end Combinatorial Optimization Solvers
- ConfidentSplat: Confidence-Weighted Depth Fusion for Accurate 3D Gaussian Splatting SLAM
- LVADNet3D: A Deep Autoencoder for Reconstructing 3D Intraventricular Flow from Sparse Hemodynamic Data
- The Principles of Human-like Conscious Machine
- ISCS: Parameter-Guided Feature Pruning for Resource-Constrained Embodied Perception