Papers
Sun 23 Mar 2025
173 papers
- ExpertRAG: Efficient RAG with Mixture of Experts -- Optimizing Context Retrieval for Adaptive LLM ResponsesRetrieval-augmented generation → RAG pipeline design and evaluation +1
- Simulating Filter Bubble on Short-video Recommender System with Large Language Model AgentsLLM agents and tool use → Agentic recommender systems
- Agentic Business Process Management: Practitioner Perspectives on Agent Governance in Business ProcessesLLM agents and tool use → Software engineering coding agents
- Inverse Reinforcement Learning with Dynamic Reward Scaling for LLM AlignmentLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- A Novel Hat-Shaped Device-Cloud Collaborative Inference Framework for Large Language ModelsEfficient LLM inference and serving → Early exit and edge inference
- FedSKD: Aggregation-free Model-heterogeneous Federated Learning via Multi-dimensional Similarity Knowledge Distillation for Medical Image ClassificationKnowledge distillation → Federated, robust and private distillation
- CAE: Repurposing the Critic as an Explorer in Deep Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- CustomKD: Customizing Large Vision Foundation for Edge Model Improvement via Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- KEA: Keeping Exploration Alive by Proactively Coordinating Exploration StrategiesDeep reinforcement learning methods → Deep RL algorithms and representations
- Adaptive Multi-Fidelity Reinforcement Learning for Variance Reduction in Engineering Design OptimizationDeep reinforcement learning methods → RL theory and sample complexity
- ViVa: Video-Trained Value Functions for Guiding Online RL from Diverse DataDeep reinforcement learning methods → Deep RL algorithms and representations
- FROG: Fair Removal on GraphsLLM safety and security → Graph unlearning
- GINGER: Grounded Information Nugget-Based Generation of ResponsesRetrieval-augmented generation → RAG pipeline design and evaluation
- Unmasking Deceptive Visuals: Benchmarking Multimodal Large Language Models on Misleading Chart Question AnsweringMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Self-Attention Diffusion Models for Zero-Shot Biomedical Image Segmentation: Unlocking New Frontiers in Medical ImagingDiffusion models → Medical imaging and segmentation
- MAO: Efficient Model-Agnostic Optimization of Prompt Tuning for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Adoption of Watermarking for Generative AI Systems in Practice and Implications under the new EU AI ActLLM safety and security → Watermarking generated content and models
- LongDiff: Training-Free Long Video Generation in One GoDiffusion models → Video generation
- LocDiff: Identifying Locations on Earth by Diffusing in the Hilbert SpaceDiffusion models → Inverse problems and image restoration
- AGIR: Assessing 3D Gait Impairment with Reasoning based on LLMsLLM reasoning → Clinical and biomedical applications
- TCFG: Tangential Damping Classifier-free GuidanceDiffusion models → Diffusion foundations and sampling
- MLLM-For3D: Adapting Multimodal Large Language Model for 3D Reasoning SegmentationLLM reasoning → Spatial and embodied reasoning +1
- MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error DetectionLLM reasoning → Mathematical reasoning +2
- Mitigating Reward Over-Optimization in RLHF via Behavior-Supported RegularizationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- GeoBenchX: Benchmarking LLMs in Agent Solving Multistep Geospatial TasksLLM agents and tool use → Multimodal and embodied agents
- Detection of Somali-written Fake News and Toxic Messages on the Social Media Using Transformer-based Language ModelsLLM safety and security → Safety alignment, refusal and guardrails
- Unraveling the Effects of Synthetic Data on End-to-End Autonomous DrivingWorld models → World models for autonomous driving +1
- D2LoRA: Data-Driven LoRA Initialization for Low Resource TasksLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Unified Geometry and Color Compression Framework for Point Clouds via Generative Diffusion PriorsDiffusion models → 3D, point cloud and scene generation
- A Multi-Model Adaptation of Speculative Decoding for ClassificationEfficient LLM inference and serving → Speculative decoding
- Mind with Eyes: from Language Reasoning to Multimodal ReasoningLLM reasoning → Multimodal reasoning
- Long Is More Important Than Difficult for Training Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
- Reinforcement Learning-based Self-adaptive Differential Evolution through Automated Landscape Feature LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
- Surrogate Learning in Meta-Black-Box Optimization: A Preliminary StudyDeep reinforcement learning methods → RL for games and combinatorial optimization
- SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language PretrainingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Expanding the Boundaries of Vision Prior Knowledge in Multi-modal Large Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- OmnimatteZero: Fast Training-free Omnimatte with Pre-trained Video Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Lost in Cultural Translation: Do LLMs Struggle with Math Across Cultural Contexts?LLM reasoning → Mathematical reasoning
- Retrieval Augmented Generation and Understanding in Vision: A Survey and New OutlookRetrieval-augmented generation → Multimodal RAG
- Vision-R1: Evolving Human-Free Alignment in Large Vision-Language Models via Vision-Guided Reinforcement LearningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Reason2Attack: Jailbreaking Text-to-Image Models via LLM ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- Optimizing Navigation And Chemical Application in Precision Agriculture With Deep Reinforcement Learning And Conditional Action TreeDeep reinforcement learning methods → RL for energy, networks and operations
- Trade-offs in Large Reasoning Models: An Empirical Analysis of Deliberative and Adaptive Reasoning over Foundational CapabilitiesLLM reasoning → Test-time compute and efficient thinking
- Understanding the Effects of RLHF on the Quality and Detectability of LLM-Generated TextsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Smoke and Mirrors: Jailbreaking LLM-based Code Generation via Implicit Malicious PromptsLLM safety and security → Jailbreaking
- Selecting and Pruning: A Differentiable Causal Sequentialized State-Space Model for Two-View Correspondence LearningState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Experience Retrieval-Augmentation with Electronic Health Records Enables Accurate Discharge QARetrieval-augmented generation → Medical and biomedical RAG
- STShield: Single-Token Sentinel for Real-Time Jailbreak Detection in Large Language ModelsLLM safety and security → Jailbreaking
- Debiasing Multimodal Large Language Models via Noise-Aware Preference OptimizationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- WindowKV: Task-Adaptive Group-Wise KV Cache Window Selection for Efficient LLM InferenceEfficient LLM inference and serving → KV cache optimization
- Guided Diffusion for the Extension of Machine Vision to Human Visual PerceptionDiffusion models → Diffusion for compression and wireless
- GLADMamba: Unsupervised Graph-Level Anomaly Detection Powered by Selective State Space ModelState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
- Dynamic Topic Analysis in Academic Journals using Convex Non-negative Matrix Factorization Method
- Recommendation System in Advertising and Streaming Media: Unsupervised Data Enhancement Sequence Suggestions
- A Theoretical Framework for Graph-based Digital Twins for Supply Chain Management and Optimization
- Learning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding
- CLCR: Contrastive Learning-based Constraint Reordering for Efficient MILP Solving
- Leveraging Large Language Models for Automated Causal Loop Diagram Generation: Enhancing System Dynamics Modeling through Curated Prompting Techniques
- A Novel Two-Phase Cooperative Co-evolution Framework for Large-Scale Global Optimization with Complex Overlapping
- Payload-Aware Intrusion Detection with CMAE and Large Language Models
- "Whose Side Are You On?" Estimating Ideology of Political and News Content Using Large Language Models and Few-shot Demonstration Selection
- Enhanced prediction of spine surgery outcomes using advanced machine learning techniques and oversampling methods
- LLMs in the Classroom: Outcomes and Perceptions of Questions Written with the Aid of AI
- HH4AI: A methodological Framework for AI Human Rights impact assessment under the EUAI ACT
- SG-Tailor: Inter-Object Commonsense Relationship Reasoning for Scene Graph Manipulation
- Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization
- SplitFrozen: Split Learning with Device-side Model Frozen for Fine-Tuning LLM on Heterogeneous Resource-Constrained Devices
- LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
- A Physical and Mathematical Framework for the Semantic Theory of Evolution
- Confronting Catastrophic Risk: The International Obligation to Regulate Artificial Intelligence
- Generative Data Imputation for Sparse Learner Performance Data Using Generative Adversarial Imputation Networks
- Threshold Crossings as Tail Events for Catastrophic AI Risk
- ShED-HD: A Shannon Entropy Distribution Framework for Lightweight Hallucination Detection on Edge Devices
- Collaborating with AI Agents: Field Experiments on Teamwork, Productivity, and Performance
- Enhance GNNs with Reliable Confidence Estimation via Adversarial Calibration Learning
- PG-SAM: Prior-Guided SAM with Medical for Multi-organ Segmentation
- Mapping Hymns and Organizing Concepts in the Rigveda: Quantitatively Connecting the Vedic Suktas
- DeLoRA: Decoupling Angles and Strength in Low-rank Adaptation
- A Framework for Finding Local Saddle Points in Two-Player Zero-Sum Black-Box Games
- MammAlps: A multi-view video behavior monitoring dataset of wild mammals in the Swiss Alps
- Theory-to-Practice Gap for Neural Networks and Neural Operators
- Adaptive Rank Allocation: Speeding Up Modern Transformers with RaNA Adapters
- A Study on Neuro-Symbolic Artificial Intelligence: Healthcare Perspectives
- LakotaBERT: A Transformer-based Model for Low Resource Lakota Language
- SimMotionEdit: Text-Based Human Motion Editing with Motion Similarity Prediction
- Iterative Multi-Agent Reinforcement Learning: A Novel Approach Toward Real-World Multi-Echelon Inventory Optimization
- Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation
- Quantile-Based Randomized Kaczmarz for Corrupted Tensor Linear Systems
- Exploring Energy Landscapes for Minimal Counterfactual Explanations: Applications in Cybersecurity and Beyond
- Exploring Topic Trends in COVID-19 Research Literature using Non-Negative Matrix Factorization
- Adaptive Physics-informed Neural Networks: A Survey
- Causality-Aware Next Location Prediction Framework based on Human Mobility Stratification
- Training A Neural Network For Partially Occluded Road Sign Identification In The Context Of Autonomous Vehicles
- Enhancing Software Vulnerability Detection Using Code Property Graphs and Convolutional Neural Networks
- Strategic Prompt Pricing for AIGC Services: A User-Centric Approach
- Evaluating Negative Sampling Approaches for Neural Topic Models
- SNRAware: Improved Deep Learning MRI Denoising with SNR Unit Training and G-factor Map Augmentation
- Active Inference for Energy Control and Planning in Smart Buildings and Communities
- DiffusionTalker: Efficient and Compact Speech-Driven 3D Talking Head via Personalizer-Guided Distillation
- Decorum: A Language-Based Approach For Style-Conditioned Synthesis of Indoor 3D Scenes
All 173
- Efficient Deep Learning Approaches for Processing Ultra-Widefield Retinal Imaging
- PHT-CAD: Efficient CAD Parametric Primitive Analysis with Progressive Hierarchical Tuning
- Machine learning based animal emotion classification using audio signals
- An Image-like Diffusion Method for Human-Object Interaction Detection
- End-to-End Implicit Neural Representations for Classification
- Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry
- PanoGS: Gaussian-based Panoptic Segmentation for 3D Open Vocabulary Scene Understanding
- AgentRxiv: Towards Collaborative Autonomous Research
- M3Net: Multimodal Multi-task Learning for 3D Detection, Segmentation, and Occupancy Prediction in Autonomous Driving
- Informer in Algorithmic Investment Strategies on High Frequency Bitcoin Data
- Clarifying Misconceptions in COVID-19 Vaccine Sentiment and Stance Analysis and Their Implications for Vaccine Hesitancy Mitigation: A Systematic Review
- Anomize: Better Open Vocabulary Video Anomaly Detection
- HyperNOs: Automated and Parallel Library for Neural Operators Research
- Temporal Relation Extraction in Clinical Texts: A Span-based Graph Transformer Approach
- Vehicular Road Crack Detection with Deep Learning: A New Online Benchmark for Comprehensive Evaluation of Existing Algorithms
- Model-Guardian: Protecting against Data-Free Model Stealing Using Gradient Representations and Deceptive Predictions
- WISE: A Framework for Gigapixel Whole-Slide-Image Lossless Compression
- PanopticSplatting: End-to-End Panoptic Gaussian Splatting
- On the effectiveness of LLMs for automatic grading of open-ended questions in Spanish
- Self-Explaining Neural Networks for Business Process Monitoring
- Unseen from Seen: Rewriting Observation-Instruction Using Foundation Models for Augmenting Vision-Language Navigation
- Dynamic Allocation Hypernetwork with Adaptive Model Recalibration for FCL
- Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning
- Investigating Recent Large Language Models for Vietnamese Machine Reading Comprehension
- PolarFree: Polarization-based Reflection-free Imaging
- (G)I-DLE: Generative Inference via Distribution-preserving Logit Exclusion with KL Divergence Minimization for Constrained Decoding
- Interpretable Feature Interaction via Statistical Self-supervised Learning on Tabular Data
- DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype
- Multiple-Particle Autofocusing Algorithm Using Axial Resolution and Morphological Analyses Based on Digital Holography
- Vehicle-Scene Interaction: A Text-Driven 3D Lidar Place Recognition Method for Autonomous Driving
- Anomaly Detection and Localization for Speech Deepfakes via Feature Pyramid Matching
- Decision from Suboptimal Classifiers: Excess Risk Pre- and Post-Calibration
- Regularization of ML models for Earth systems by using longer model timesteps
- Scalable physics-informed deep generative model for solving forward and inverse stochastic differential equations
- Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding
- Personalized Language Models via Privacy-Preserving Evolutionary Model Merging
- SymmCompletion: High-Fidelity and High-Consistency Point Cloud Completion with Symmetry Guidance
- Instructing the Architecture Search for Spatial-temporal Sequence Forecasting with LLM
- Predicting Multitasking in Manual and Automated Driving with Optimal Supervisory Control
- Geometric Constrained Non-Line-of-Sight Imaging
- Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting
- Histomorphology-Guided Prototypical Multi-Instance Learning for Breast Cancer WSI Classification
- Co-SemDepth: Fast Joint Semantic Segmentation and Depth Estimation on Aerial Images
- PIM: Physics-Informed Multi-task Pre-training for Improving Inertial Sensor-Based Human Activity Recognition
- Shot Sequence Ordering for Video Editing: Benchmarks, Metrics, and Cinematology-Inspired Computing Methods
- PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos
- PathoHR: Breast Cancer Survival Prediction on High-Resolution Pathological Images
- Real-World Remote Sensing Image Dehazing: Benchmark and Baseline
- Won: Establishing Best Practices for Korean Financial NLP
- Dynamic Gradient Sparse Update for Edge Training
- On the Origins of Sampling Bias: Implications on Fairness Measurement and Mitigation
- Human-AI Interaction and User Satisfaction: Empirical Evidence from Online Reviews of AI Products
- SLIDE: Sliding Localized Information for Document Extraction
- Equivariant Machine Learning Interatomic Potentials with Global Charge Redistribution
- Supervised Manifold Learning for Functional Data
- Data-Efficient Deep Operator Network for Unsteady Flow: A Multi-Fidelity Approach with Physics-Guided Subsampling
- FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation
- Cross-Domain Underwater Image Enhancement Guided by No-Reference Image Quality Assessment: A Transfer Learning Approach
- An Empirical Study of the Role of Incompleteness and Ambiguity in Interactions with Large Language Models
- Dataset Distillation for Quantum Neural Networks
- TransAnimate: Taming Layer Diffusion to Generate RGBA Video
- WLB-LLM: Workload-Balanced 4D Parallelism for Large Language Model Training
- Predicting performance-related properties of refrigerant based on tailored small-molecule functional group contribution
- Learning Where and What to Restore for Composite Image Restoration
- Semi-supervised Semantic Segmentation with Multi-Constraint Consistency Learning
- Financial Wind Tunnel: A Retrieval-Augmented Market Simulator
- Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling
- Finding Stable Subnetworks at Initialization with Dataset Distillation
- MedPlan: A Two-Stage RAG-Based System for Personalized Medical Plan Generation
- What Time Tells Us? An Explorative Study of Time Awareness Learned from Static Images
- Real-time Global Illumination for Dynamic 3D Gaussian Scenes
- Multi-Disease-Aware Training Strategy for Cardiac MR Image Segmentation
- Generative Learner for Distributional Causal Effects