Papers
Sun 3 Aug 2025
207 papers
- The Art of Breaking Words: Rethinking Multilingual Tokenizer DesignLLM reasoning → Reasoning benchmarks and evaluation
- What Makes "Good" Distractors for Object Hallucination Evaluation in Large Vision-Language Models?Multimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- A Survey of LLM-based Deep Search Agents: Paradigm, Optimization, Evaluation, and ChallengesLLM agents and tool use → Web, search, and research agents
- DMSC: Dynamic Multi-Scale Coordination Framework for Time Series ForecastingMixture-of-experts → MoE for time series and graphs
- SmallKV: Small Model Assisted Compensation of KV Cache Compression for Efficient LLM InferenceEfficient LLM inference and serving → KV cache optimization
- SitEmb-v1.5: Improved Context-Aware Dense Retrieval for Semantic Association and Long Story ComprehensionRetrieval-augmented generation → Generation and context integration
- ROVER: Recursive Reasoning Over Videos with Vision-Language Models for Embodied TasksLLM reasoning → Spatial and embodied reasoning +1
- Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human FeedbackLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Beyond Simulation: Benchmarking World Models for Planning and Causality in Autonomous DrivingWorld models → World models for autonomous driving +1
- InspectVLM: Unified in Theory, Unreliable in PracticeMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Decomposing Representation Space into Interpretable Subspaces with Unsupervised LearningMechanistic interpretability → Circuits and mechanistic analysis
- Proactive Constrained Policy Optimization with Preemptive PenaltyDeep reinforcement learning methods → Safe and constrained RL
- StreamAgent: Towards Anticipatory Agents for Streaming Video UnderstandingEfficient LLM inference and serving → Visual token pruning in multimodal models
- Web-CogReasoner: Towards Multimodal Knowledge-Induced Cognitive Reasoning for Web AgentsLLM agents and tool use → Web, search, and research agents
- MLP Memory: A Retriever-Pretrained Memory for Large Language ModelsRetrieval-augmented generation → Generation and context integration
- RouteMark: A Fingerprint for Intellectual Property Attribution in Routing-based Model MergingMixture-of-experts → Expert routing strategies
- LiveMCPBench: Can Agents Navigate an Ocean of MCP Tools?LLM agents and tool use → Tool learning and function calling
- DiffSemanticFusion: Semantic Raster BEV Fusion for Autonomous Driving via Online HD Map DiffusionEnd-to-end autonomous driving → End-to-end system architecture
- Uncertainty-Based Methods for Automated Process Reward Data Construction and Output Aggregation in Mathematical ReasoningLLM reasoning → Reinforcement learning for reasoning +1
- Semantically-Guided Inference for Conditional Diffusion Models: Enhancing Covariate Consistency in Time Series ForecastingDiffusion models → Flow matching, time series and science
- Bayes-Entropy Collaborative Driven Agents for Research Hypotheses Generation and OptimizationLLM agents and tool use → Web, search, and research agents
- Simulated Ensemble Attack: Transferring Jailbreaks Across Fine-tuned Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Granular Concept Circuits: Toward a Fine-Grained Circuit Discovery for Concept RepresentationsMechanistic interpretability → Circuits and mechanistic analysis
- OccamVTS: Distilling Vision Models to 1% Parameters for Time Series ForecastingKnowledge distillation → General knowledge distillation methods
- Imbalance-Robust and Sampling-Efficient Continuous Conditional GANs via Adaptive Vicinal Learning and Auxiliary RegularizationDiffusion models → Diffusion foundations and sampling
- ModFus-DM: Explore the Representation in Modulated Signal Diffusion Generated ModelsDiffusion models → Diffusion for compression and wireless
- CultureGuard: Towards Culturally-Aware Dataset and Guard Model for Multilingual Safety ApplicationsLLM agents and tool use → Agent threats, guardrails and governance
- DeepVIS: Bridging Natural Language and Data Visualization Through Step-wise ReasoningLLM reasoning → Multimodal reasoning
- TimeExpert: An Expert-Guided Video LLM for Video Temporal GroundingMixture-of-experts → Vision mixture-of-experts
- Versatile Transition Generation with Image-to-Video DiffusionDiffusion models → Video generation
- CoCoA: Collaborative Chain-of-Agents for Parametric-Retrieved Knowledge SynergyRetrieval-augmented generation → Agentic RAG, agents and memory +1
- DisCo3D: Distilling Multi-View Consistency for 3D Scene EditingDiffusion models → 3D, point cloud and scene generation
- The Bidirectional Process Reward ModelLLM reasoning → Reinforcement learning for reasoning +1
- T-GRAG: A Dynamic GraphRAG Framework for Resolving Temporal Conflicts and Redundancy in Knowledge RetrievalRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Cure or Poison? Embedding Instructions Visually Alters Hallucination in Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Shape Distribution Matters: Shape-specific Mixture-of-Experts for Amodal Segmentation under Diverse OcclusionsMixture-of-experts → Vision mixture-of-experts
- MAP: Mitigating Hallucinations in Large Vision-Language Models with Map-Level Attention ProcessingMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Diffusion Models are Open-World Affordance Learners: Leveraging Generative Priors for 3D Affordance LearningDiffusion models → Video generation
- DUP: Detection-guided Unlearning for Backdoor Purification in Language ModelsLLM safety and security → Backdoor and data poisoning attacks
- ChEmbed: Enhancing Chemical Literature Search Through Domain-Specific Text EmbeddingsRetrieval-augmented generation → Medical and biomedical RAG
- EAC-MoE: Expert-Selection Aware Compressor for Mixture-of-Experts Large Language ModelsMixture-of-experts → MoE large language models
- A Multi-Agent Pokemon Tournament for Evaluating Strategic Reasoning of Large Language ModelsLLM reasoning → Reasoning for agents, planning and code +1
- VFP: Variational Flow-Matching Policy for Multi-Modal Robot ManipulationDiffusion models → Diffusion and flow policies for robotics +1
- IMU: Influence-guided Machine UnlearningLLM safety and security → Machine unlearning
- LLaDA-MedV: Exploring Large Language Diffusion Models for Biomedical Image UnderstandingMultimodal LLMs / vision-language models → Medical vision-language models +1
- Augmented Reinforcement Learning Framework For Enhancing Decision-Making In Machine Learning Models Using External AgentsDeep reinforcement learning methods → Deep RL algorithms and representations
- Practical, Generalizable and Robust Backdoor Attacks on Text-to-Image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- Enhancing Math Reasoning in Small-sized LLMs via Preview Difficulty-Aware InterventionLLM reasoning → Reinforcement learning for reasoning
- Drift-aware Collaborative Assistance Mixture of Experts for Heterogeneous Multistream LearningMixture-of-experts → Mixture of LoRA experts
- Self-Navigated Residual Mamba for Universal Industrial Anomaly DetectionState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
- Censored Sampling for Topology Design: Guiding Diffusion with Human PreferencesDiffusion models → Flow matching, time series and science
- Diffusion Models for Future Networks and Communications: A Comprehensive SurveyDiffusion models → Diffusion for compression and wireless
- Polymorphic Combinatorial Frameworks (PCF): Guiding the Design of Mathematically-Grounded, Adaptive AI AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- LetheViT: Selective Machine Unlearning for Vision Transformers via Attention-Guided Contrastive LearningLLM safety and security → Machine unlearning
- One Subgoal at a Time: Zero-Shot Generalization to Arbitrary Linear Temporal Logic Requirements in Multi-Task Reinforcement LearningDeep reinforcement learning methods → Interpretable and logic-guided RL
- EvoVLMA: Evolutionary Vision-Language Model AdaptationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- RepoForge: Training a SOTA Fast-thinking SWE Agent with an End-to-End Data Curation Pipeline Synergizing SFT and RL at ScaleLLM reasoning → Reasoning for agents, planning and code +1
- A Glimpse to Compress: Dynamic Visual Token Pruning for Large Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- E-VRAG: Enhancing Long Video Understanding with Resource-Efficient Retrieval Augmented GenerationLLM reasoning → Multimodal reasoning +2
- Refine-n-Judge: Curating High-Quality Preference Chains for LLM-Fine-TuningLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- MagicVL-2B: Empowering Vision-Language Models on Mobile Devices with Lightweight Visual Encoders via Curriculum LearningMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- ReasonAct: Progressive Training for Fine-Grained Video Reasoning in Small ModelsLLM reasoning → Multimodal reasoning
- Revisiting Gossip Protocols: A Vision for Emergent Coordination in Agentic Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Towards High-Precision Depth Sensing via Monocular-Aided iToF and RGB Integration
- Harmonious Color Pairings: Insights from Human Preference and Natural Hue Statistics
- Human-AI collaboration or obedient and often clueless AI in instruct, serve, repeat dynamics?
- GlaBoost: A Multimodal Structured Framework for Glaucoma Risk Stratification
- Closed-Circuit Television Data as an Emergent Data Source for Urban Rail Platform Crowding Estimation
- Context-Adaptive Multi-Prompt Embedding with Large Language Models for Vision-Language Alignment
- Towards a Manifesto for Cyber Humanities: Paradigms, Ethics, and Prospects
- Hedging with memory: shallow and deep learning with signatures
- CTBench: Cryptocurrency Time Series Generation Benchmark
- Beyond the Wavefunction: Qualia Abstraction Language Mechanics and the Grammar of Awareness
- Pulse Shape Discrimination Algorithms: Survey and Benchmark
- Non-Verbal Vocalisations and their Challenges: Emotion, Privacy, Sparseness, and Real Life
- Stochastic Encodings for Active Feature Acquisition
- Scaling Clinician-Grade Feature Generation from Clinical Notes with Multi-Agent Language Models
- Flow-Aware GNN for Transmission Network Reconfiguration via Substation Breaker Optimization
- Inferring Reward Machines and Transition Machines from Partially Observable Markov Decision Processes
- Less is More: AMBER-AFNO -- a New Benchmark for Lightweight 3D Medical Image Segmentation
- CVD-SfM: A Cross-View Deep Front-end Structure-from-Motion System for Sparse Localization in Multi-Altitude Scenes
- Proactive Disentangled Modeling of Trigger-Object Pairings for Backdoor Defense
- IAUNet: Instance-Aware U-Net
- From Binary to Continuous: Stochastic Re-Weighting for Robust Graph Explanation
- Quantum-RAG and PunGPT2: Advancing Low-Resource Language Generation and Retrieval for the Punjabi Language
- L3M+P: Lifelong Planning with Large Language Models
- EgoTrigger: Toward Audio-Driven Image Capture for Human Memory Enhancement in All-Day Energy-Efficient Smart Glasses
- A Decentralized Framework for Ethical Authorship Validation in Academic Publishing: Leveraging Self-Sovereign Identity and Blockchain Technology
- Revisiting Replay and Gradient Alignment for Continual Pre-Training of Large Language Models
- IMUCoCo: Enabling Flexible On-Body IMU Placement for Human Pose Estimation and Activity Recognition
- How Does Controllability Emerge In Language Models During Pretraining?
- Medical Image De-Identification Resources: Synthetic DICOM Data and Tools for Validation
- Optimizing Day-Ahead Energy Trading with Proximal Policy Optimization and Blockchain
- Complete Evasion, Zero Modification: PDF Attacks on AI Text Detection
- DiffusionFF: A Diffusion-based Framework for Joint Face Forgery Detection and Fine-Grained Artifact Localization
- Multi-turn Natural Language to Graph Query Language Translation
- ProKG-Dial: Progressive Multi-Turn Dialogue Construction with Domain Knowledge Graphs
- Counterfactual Reciprocal Recommender Systems for User-to-User Matching
- Structure Maintained Representation Learning Neural Network for Causal Inference
- Fast Gaussian process inference by exact Mat'ern kernel decomposition
All 207
- Counterfactual Probing for Hallucination Detection and Mitigation in Large Language Models
- ACT-Tensor: Tensor Completion Framework for Financial Dataset Imputation
- Implicit Search Intent Recognition using EEG and Eye Tracking: Novel Dataset and Cross-User Prediction
- Moment Estimate and Variational Approach for Learning Generalized Diffusion with Non-gradient Structures
- Distinguishing Target and Non-Target Fixations with EEG and Eye Tracking in Realistic Visual Scenes
- Context Guided Transformer Entropy Modeling for Video Compression
- ChairPose: Pressure-based Chair Morphology Grounded Sitting Pose Estimation through Simulation-Assisted Training
- Causal Discovery in Multivariate Time Series through Mutual Information Featurization
- Test-Time Training for Speech Enhancement
- Beyond Vulnerabilities: A Survey of Adversarial Attacks as Both Threats and Defenses in Computer Vision Systems
- Towards Generalizable Context-aware Anomaly Detection: A Large-scale Benchmark in Cloud Environments
- OmniEvent: Unified Event Representation Learning
- A Simple Algebraic Solution for Estimating the Pose of a Camera from Planar Point Features
- Diffusion-based 3D Hand Motion Recovery with Intuitive Physics
- Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design
- Neural Predictive Control to Coordinate Discrete- and Continuous-Time Models for Time-Series Analysis with Control-Theoretical Improvements
- Large Kernel MedNeXt for Breast Tumor Segmentation and Self-Normalizing Network for pCR Classification in Magnetic Resonance Images
- Deep Learning-Driven Prediction of Microstructure Evolution via Latent Space Interpolation
- From Graph Retrieval to Schema Realization: Counterfactual Validation for Text-to-SPARQL over Heterogeneous Knowledge Graphs
- HeQ: a Large and Diverse Hebrew Reading Comprehension Benchmark
- Mitigating Persistent Client Dropout in Asynchronous Decentralized Federated Learning
- SoccerTrack v2: A Full-Pitch Panoramic Video Dataset for Game State Reconstruction and Ball Action Spotting
- Contrastive Multi-Task Learning with Solvent-Aware Augmentation for Drug Discovery
- CSLRConformer: A Data-Centric Conformer Approach for Continuous Arabic Sign Language Recognition on the Isharah Datase
- Sonify Anything: Towards Context-Aware Sonic Interactions in AR
- Skip priors and add graph-based anatomical information, for point-based Couinaud segmentation
- Joint Lossless Compression and Steganography for Medical Images via Large Language Models
- A comprehensive taxonomy of hallucinations in Large Language Models
- VAGPO: Vision-augmented Asymmetric Group Preference Optimization for Graph Routing Problems
- LoRA-based methods on Unet for transfer learning in Subarachnoid Hematoma Segmentation
- VPN: Visual Prompt Navigation
- A Trainable Optimizer
- Reasoning Systems as Structured Processes: Foundations, Failures, and Formal Criteria
- AI-Generated Text is Non-Stationary: Detection via Temporal Tomography
- Vision transformer-based multi-camera multi-object tracking framework for dairy cow monitoring
- Implementing Cumulative Functions with Generalized Cumulative Constraints
- Improving Noise Efficiency in Privacy-preserving Dataset Distillation
- Energy-Efficient Federated Learning for Edge Real-Time Vision via Joint Data, Computation, and Communication Design
- AGFT: An Adaptive GPU Frequency Tuner for Real-Time LLM Inference Optimization
- Intention-Guided Cognitive Reasoning for Egocentric Long-Term Action Anticipation
- AG2aussian: Anchor-Graph Structured Gaussian Splatting for Instance-Level 3D Scene Understanding and Editing
- Enhancing the Preference Extractor in Multi-turn Dialogues: From Annotating Disasters to Accurate Preference Extraction
- Topolow: Force-Directed Euclidean Embedding of Dissimilarity Data with Robustness Against Non-Metricity and Sparsity
- SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models
- Tracking the Unstable: Appearance-Guided Motion Modeling for Robust Multi-Object Tracking in UAV-Captured Videos
- ReflecSched: Solving Dynamic Flexible Job-Shop Scheduling via LLM-Powered Hierarchical Reflection
- Physics-Informed Policy Iteration for High-Dimensional Hamilton--Jacobi--Bellman Equations: Interior Error Bounds without Boundary Data
- Dynamic Robot-Assisted Surgery with Hierarchical Class-Incremental Semantic Segmentation
- HateClipSeg: A Segment-Level Annotated Dataset for Fine-Grained Hate Video Detection
- GAIS: Frame-Level Gated Audio-Visual Integration with Semantic Variance-Scaled Perturbation for Text-Video Retrieval
- Am I Blue or Is My Hobby Counting Teardrops? Expression Leakage in Large Language Models as a Symptom of Irrelevancy Disruption
- Density estimation with atoms, and functional estimation for mixed discrete-continuous data
- LT-Gaussian: Long-Term Map Update Using 3D Gaussian Splatting for Autonomous Driving
- MHARFedLLM: Multimodal Human Activity Recognition Using Federated Large Language Model
- Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model
- SURE-Med: Systematic Uncertainty Reduction for Enhanced Reliability in Medical Report Generation
- Voxlect: A Speech Foundation Model Benchmark for Modeling Dialects and Regional Languages Around the Globe
- Explaining Time Series Classifiers with PHAR: Rule Extraction and Fusion from Post-hoc Attributions
- Innovative tokenisation of structured data for LLM training
- Generalized Kernelized Bandits: A Novel Self-Normalized Bernstein-Like Dimension-Free Inequality and Regret Bounds
- Benchmarking Adversarial Patch Selection and Location
- Asynchronous Federated Learning with non-convex client objective functions and heterogeneous dataset
- CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions
- QCBench: Evaluating Large Language Models on Domain-Specific Quantitative Chemistry
- Bridging Generalization Gap of Heterogeneous Federated Clients Using Generative Models
- Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer
- Rein++: Efficient Generalization and Adaptation for Semantic Segmentation with Vision Foundation Models
- Single Point, Full Mask: Velocity-Guided Level Set Evolution for End-to-End Amodal Segmentation
- Authorship Attribution in Multilingual Machine-Generated Texts
- StrandDesigner: Towards Practical Strand Generation with Sketch Guidance
- SPARTA: Advancing Sparse Attention in Spiking Neural Networks via Spike-Timing-Based Prioritization
- DRKF: Decoupled Representations with Knowledge Fusion for Multimodal Emotion Recognition
- Minimal High-Resolution Patches Are Sufficient for Whole Slide Image Representation via Cascaded Dual-Scale Reconstruction
- Glass Surface Segmentation with an RGB-D Camera via Weighted Feature Fusion for Service Robots
- Semantic Encryption: Secure and Effective Interaction with Cloud-based Large Language Models via Semantic Transformation
- Privacy-Preserving Inference for Quantized BERT Models
- Reliable Microservice Tail Latency Prediction via Decoupled Dual-Stream Learning and Gradient Modulation
- Rate-distortion Optimized Point Cloud Preprocessing for Geometry-based Point Cloud Compression
- OpenMed NER: Open-Source, Domain-Adapted State-of-the-Art Transformers for Biomedical NER Across 12 Public Datasets
- TCDiff: Triplex Cascaded Diffusion for High-fidelity Multimodal EHRs Generation with Incomplete Clinical Data
- From Pixels to Places: A Systematic Benchmark for Evaluating Image Geolocalization Ability in Large Language Models
- Towards Generalizable AI-Generated Image Detection via Image-Adaptive Prompt Learning
- Enhancing Zero-Shot Brain Tumor Subtype Classification via Fine-Grained Patch-Text Alignment
- Heteroscedasticity of Denoising Score Matching with Generalised Smooth Noise
- CLIMD: A Curriculum Learning Framework for Imbalanced Multimodal Diagnosis
- DMTrack: Spatio-Temporal Multimodal Tracking via Dual-Adapter
- A Plug-and-Play Multi-Criteria Guidance for Diverse In-Betweening Human Motion Generation
- Beyond Discrete Samples: High Information Density Replay for Efficient Lifelong Person Re-Identification
- A Spatio-temporal Continuous Network for Stochastic 3D Human Motion Prediction
- Set Pivot Learning: Redefining Generalized Segmentation with Vision Foundation Models
- Dynamic Clustering for Personalized Federated Learning on Heterogeneous Edge Devices
- Harnessing Textual Semantic Priors for Knowledge Transfer and Refinement in CLIP-Driven Continual Learning
- Tractography-Guided Dual-Label Collaborative Learning for Multi-Modal Cranial Nerves Parcellation
- KANMixer: a minimal KAN-centered mixer for long-term time series forecasting
- TopoImages: Incorporating Local Topology Encoding into Deep Learning Models for Medical Image Classification
- Deeply Supervised Multi-Task Autoencoder for Biological Brain Age estimation using three dimensional T1-weighted magnetic resonance imaging
- Adaptive LiDAR Scanning: Harnessing Temporal Cues for Efficient 3D Object Detection via Multi-Modal Fusion
- Unsupervised Learning for the Elementary Shortest Path Problem
- Empowering Tabular Data Preparation with Language Models: Why and How?
- MGCR-Net:Multimodal Graph-Conditioned Vision-Language Reconstruction Network for Remote Sensing Change Detection
- Are All Prompt Components Value-Neutral? Understanding the Heterogeneous Adversarial Robustness of Dissected Prompt in Large Language Models
- Understanding Why ChatGPT Outperforms Humans in Visualization Design Advice
- Getting out of the Big-Muddy: Escalation of Commitment in LLMs
- Leveraging Machine Learning for Botnet Attack Detection in Edge-Computing Assisted IoT Networks
- MOPrompt: Multi-objective Semantic Evolution for Prompt Optimization
- FluidFormer: Transformer with Continuous Convolution for Particle-based Fluid Simulation
- MiraGe: Multimodal Discriminative Representation Learning for Generalizable AI-Generated Image Detection