Papers
Sat 26 Jul 2025
169 papers
- OmniBench-RAG: A Multi-Domain Evaluation Platform for Retrieval-Augmented Generation ToolsRetrieval-augmented generation → RAG pipeline design and evaluation
- AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex TasksLLM reasoning → Reasoning for agents, planning and code +1
- CANDLE: A Cross-Modal Agentic Knowledge Distillation Framework for Interpretable Sarcopenia DiagnosisLLM agents and tool use → Medical and scientific domain agents +1
- Toward Revealing Nuanced Biases in Medical LLMsLLM safety and security → Safety alignment, refusal and guardrails
- KB-DMGen: Knowledge-Based Global Guidance and Dynamic Pose Masking for Human Image GenerationDiffusion models → Video generation
- The Devil is in the EOS: Sequence Training for Detailed Image CaptioningMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- PERRY: Policy Evaluation with Confidence Intervals using Auxiliary DataDeep reinforcement learning methods → RL theory and sample complexity
- PITA: Preference-Guided Inference-Time Alignment for LLM Post-TrainingLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval AugmentationRetrieval-augmented generation → RAG pipeline design and evaluation
- FaRMamba: Frequency-based learning and Reconstruction aided Mamba for Medical SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- FAEDKV: Infinite-Window Fourier Transform for Unbiased KV Cache CompressionEfficient LLM inference and serving → KV cache optimization
- When Engineering Outruns Intelligence: Rethinking Instruction-Guided NavigationLLM reasoning → Spatial and embodied reasoning
- SAMUeL: Efficient Vocal-Conditioned Music Generation via Soft Alignment Attention and Latent DiffusionDiffusion models → Audio, speech and music
- Improving the Performance of Sequential Recommendation Systems with an Extended Large Language ModelLLM reasoning → LLM reasoning for recommendation
- SkinDualGen: Prompt-Driven Diffusion for Simultaneous Image-Mask Generation in Skin LesionsDiffusion models → Medical imaging and segmentation
- Predicting Brain Responses To Natural Movies With Multimodal LLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot LearningDiffusion models → 3D, point cloud and scene generation
- Prometheus: Towards Long-Horizon Codebase Navigation for Repository-Level Problem SolvingLLM agents and tool use → Software engineering coding agents
- LLMControl: Grounded Control of Text-to-Image Diffusion-based Synthesis with Multimodal LLMsMultimodal LLMs / vision-language models → Image editing and quality assessment +1
- MambaVesselNet++: A Hybrid CNN-Mamba Architecture for Medical Image SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- CaliDrop: KV Cache Compression with CalibrationEfficient LLM inference and serving → KV cache optimization
- ConSeg: Contextual Backdoor Attack Against Semantic SegmentationLLM safety and security → Backdoor and data poisoning attacks
- AgentMesh: A Cooperative Multi-Agent Generative AI Framework for Software Development AutomationLLM agents and tool use → Software engineering coding agents
- Generative Model Unlearning: A Survey through Target Events, Unlearning Operators, and Evaluation ProtocolsLLM safety and security → Vision-language and text-to-image safety
- All-in-One Medical Image Restoration with Latent Diffusion-Enhanced Vector-Quantized Codebook PriorDiffusion models → Inverse problems and image restoration
- Inducing Causal World Models in LLMs for Zero-Shot Physical ReasoningWorld models → World models for language agents +1
- Think, Act, Learn: A Framework for Autonomous Robotic Agents using Closed-Loop Large Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- A Structure-aware and Motion-adaptive Framework for 3D Human Pose Estimation with MambaState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- Agentic Reinforced Policy OptimizationLLM reasoning → Reinforcement learning for reasoning +1
- Knowledge Regularized Negative Feature Tuning of Vision-Language Models for Out-of-Distribution DetectionMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- HCAttention: Extreme KV Cache Compression via Heterogeneous Attention Computing for LLMsEfficient LLM inference and serving → KV cache optimization
- SeeDiff: Off-the-Shelf Seeded Mask Generation from Diffusion ModelsDiffusion models → Medical imaging and segmentation
- TransFlow: Motion Knowledge Transfer from Video Diffusion Models to Video Salient Object DetectionDiffusion models → Video generation
- Reinforcement Learning for Multi-Objective Multi-Echelon Supply Chain OptimisationDeep reinforcement learning methods → RL for energy, networks and operations
- HydraMamba: Multi-Head State Space Model for Global Point Cloud LearningState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation +1
- MoFRR: Mixture of Diffusion Models for Face Retouching RestorationDiffusion models → Inverse problems and image restoration
- UloRL:An Ultra-Long Output Reinforcement Learning Approach for Advancing Large Language Models' Reasoning AbilitiesLLM reasoning → Reinforcement learning for reasoning
- Computing optimal policies for managing inventories with noisy observationsDeep reinforcement learning methods → RL for energy, networks and operations
- Can LLMs Solve ASP Problems? Insights from a Benchmarking Study (Extended Version)LLM reasoning → Reasoning benchmarks and evaluation
- JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language ModelsLLM reasoning → Mathematical reasoning
- DOA: A Degeneracy Optimization Agent with Adaptive Pose Compensation Capability based on Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- Basic Reading DistillationKnowledge distillation → Knowledge distillation for LLMs
- Minding Motivation: The Effect of Intrinsic Motivation on Agent BehaviorsLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification +1
- TurQUaz at CheckThat! 2025: Debating Large Language Models for Scientific Web Discourse Detection
- Planning with Dynamically Changing Domains
- FECT: Factuality Evaluation of Interpretive AI-Generated Claims in Contact Center Conversation Transcripts
- How Much Is Too Much? Adaptive, Context-Aware Risk Detection in Naturalistic Driving
- FRAM: Frobenius-Regularized Assignment Matching with Mixed-Precision Computing
- Stochastic Optimal Control via Measure Relaxations
- SmartCourse: A Contextual AI-Powered Course Advising System for Undergraduates
- Patch-Based 3D Variational Autoencoder for Super-Resolution of Turbulent Channel Flow
- FedBAP: Backdoor Defense via Benign Adversarial Perturbation in Federated Learning
- A ChatGPT-based approach for questions generation in higher education
- Ontological Foundations of State Sovereignty
- An ontological analysis of risk in Basic Formal Ontology
- Lasso Penalization for High-Dimensional Beta Regression Models: Computation, Analysis, and Inference
- Cluster Purge Loss: Structuring Transformer Embeddings for Equivalent Mutants Detection
- Sparse Equation Matching: A Derivative-Free Learning for General-Order Dynamical Systems
- Geometric Operator Learning with Optimal Transport
- Strategic Filtering for Content Moderation: Free Speech or Free of Distortion?
- ModShift: Model Privacy via Designed Shifts
- Modeling Parkinson's Disease Progression Using Longitudinal Voice Biomarkers: A Comparative Study of Statistical and Neural Mixed-Effects Models
- What Can Grokking Teach Us About Learning Under Nonstationarity?
- A Tensor-Based Compiler and a Runtime for Neuron-Level DNN Certifier Specifications
- Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism
- K4: Online Log Anomaly Detection Via Unsupervised Typicality Learning
- Irredundant k-Fold Cross-Validation
- Infogen: Generating Complex Statistical Infographics from Documents
- Dependency Network-Based Portfolio Design with Forecasting and VaR Constraints
- Improving Audio Classification by Transitioning from Zero- to Few-Shot
- Digital and Robotic Twinning for Validation of Proximity Operations and Formation Flying
- TAPS : Frustratingly Simple Test Time Active Learning for VLMs
- Region-based Cluster Discrimination for Visual Representation Learning
- Discrete Gaussian Vector Fields On Meshes
- Anomaly Detection in Human Language via Meta-Learning: A Few-Shot Approach
- The Carbon Cost of Conversation, Sustainability in the Age of Language Models
- VAMPIRE: Uncovering Vessel Directional and Morphological Information from OCTA Images for Cardiovascular Disease Risk Factor Prediction
- FedSWA: Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging
- Policy-Driven AI in Dataspaces: Taxonomy, Explainability, and Pathways for Compliant Innovation
- Finding Personalized Good-Enough Solutions to Unsatisfiable Stable Roommates Problems
- Robust Taxi Fare Prediction Under Noisy Conditions: A Comparative Study of GAT, TimesNet, and XGBoost
- Matching Game Preferences Through Dialogical Large Language Models: A Perspective
- VLQA: The First Comprehensive, Large, and High-Quality Vietnamese Dataset for Legal Question Answering
- FROSS: Faster-than-Real-Time Online 3D Semantic Scene Graph Generation from RGB-D Images
- Development and Evaluation of an Ontology for Non-Invasive Respiratory Support in Acute Care
- Visual Analytics Using Tensor Unified Linear Comparative Analysis
- CLASP: General-Purpose Clothes Manipulation with Semantic Keypoints
- Exploring LLM Autoscoring Reliability in Large-Scale Writing Assessments Using Generalizability Theory
- Extreme value theory for singular subspace estimation in the matrix denoising model
- A roadmap for AI in robotics
- Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application
- Leveraging Fine-Tuned Large Language Models for Interpretable Pancreatic Cystic Lesion Feature Extraction and Risk Categorization
- Text2Vis: A Challenging and Diverse Benchmark for Generating Multimodal Visualizations from Text
- Dimer-Enhanced Optimization: A First-Order Approach to Escaping Saddle Points in Neural Network Training
- Who Owns This Sample: Cross-Client Membership Inference Attack in Federated Graph Neural Networks
- KLAAD: Refining Attention Mechanisms to Reduce Societal Bias in Generative Language Models
- Pic2Diagnosis: A Method for Diagnosis of Cardiovascular Diseases from the Printed ECG Pictures
- What Does 'Human-Centred AI' Mean?
- AF-CLIP: Zero-Shot Anomaly Detection via Anomaly-Focused CLIP Adaptation
All 169
- UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block
- Spatial Language Likelihood Grounding Network for Bayesian Fusion of Human-Robot Observations
- SCALAR: Scale-wise Controllable Visual Autoregressive Learning
- Deep Learning Based Joint Channel Estimation and Positioning for Sparse XL-MIMO OFDM Systems
- DynamiX: Large-Scale Dynamic Social Network Simulator
- A Fast Parallel Median Filtering Algorithm Using Hierarchical Tiling
- HumanSAM: Classifying Human-centric Forgery Videos in Human Spatial, Appearance, and Motion Anomaly
- A mini-batch training strategy for deep subspace clustering networks
- DriveIndia: An Object Detection Dataset for Diverse Indian Traffic Scenes
- The Impact of Fine-tuning Large Language Models on Automated Program Repair
- TrackAny3D: Transferring Pretrained 3D Models for Category-unified 3D Point Cloud Tracking
- CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation
- A Gold Standard Dataset and Evaluation Framework for Depression Detection and Explanation in Social Media using LLMs
- TS-Insight: Visualizing Thompson Sampling for Verification and XAI
- Douglas-Rachford Splitting for Group-Sparse Feedback Linear-Quadratic Control
- Interpretable Open-Vocabulary Referring Object Detection with Reverse Contrast Attention
- CLoRA: Parameter-Efficient Continual Learning with Low-Rank Adaptation
- Zero-shot Performance of Generative AI in Brazilian Portuguese Medical Exam
- Causality-aligned Prompt Learning via Diffusion-based Counterfactual Generation
- FedS2R: One-Shot Federated Domain Generalization for Synthetic-to-Real Semantic Segmentation in Autonomous Driving
- Trivial Trojans: How Minimal MCP Servers Enable Cross-Tool Exfiltration of Sensitive Data
- Efficient Self-Supervised Neuro-Analytic Visual Servoing for Real-time Quadrotor Control
- ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking
- RestoreAI -- Pattern-based Risk Estimation Of Remaining Explosives
- OW-CLIP: Data-Efficient Visual Supervision for Open-World Object Detection via Human-AI Collaboration
- The Polish Vocabulary Size Test: A Novel Adaptive Test for Receptive Vocabulary Assessment
- DRIVE: Disfluency-Rich Synthetic Dialog Data Generation Framework for Intelligent Vehicle Environments
- Quantum-Informed Machine Learning for Predicting Spatiotemporal Chaos with Practical Quantum Advantage
- Taming Domain Shift in Multi-source CT-Scan Classification via Input-Space Standardization
- RaGS: Unleashing 3D Gaussian Splatting from 4D Radar and Monocular Cues for 3D Object Detection
- FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing
- A Scalable and High Availability Solution for Recommending Resolutions to Problem Tickets
- VAE-GAN Based Price Manipulation in Coordinated Local Energy Markets
- Hybrid Deep Learning and Handcrafted Feature Fusion for Mammographic Breast Cancer Classification
- A Cooperative Approach for Knowledge-based Business Process Design in a Public Authority
- AutoSign: Direct Pose-to-Text Translation for Continuous Sign Language Recognition
- Stabilizing the Modality Gap: Null-Space Projected Continual Learning for Vision-Language Models
- ChoreoMuse: Robust Music-to-Dance Video Generation with Style Transfer and Beat-Adherent Motion
- Taking Language Embedded 3D Gaussian Splatting into the Wild
- Debunking Optimization Myths in Federated Learning for Medical Image Classification
- LAVA: Language Driven Scalable and Versatile Traffic Video Analytics
- FM-LC: A Hierarchical Framework for Urban Flood Mapping by Land Cover Identification Models
- DS-Det: Single-Query Paradigm and Attention Disentangled Learning for Flexible Object Detection
- From Few-Label to Zero-Label: An Approach for Cross-System Log-Based Anomaly Detection with Meta-Learning
- Sequence-based protein-protein interaction prediction and its applications in drug discovery
- ForCenNet: Foreground-Centric Network for Document Image Rectification
- AI-Based Clinical Rule Discovery for NMIBC Recurrence through Tsetlin Machines
- Enhancing Materials Discovery with Valence Constrained Design in Generative Modeling
- Analyzing and Mitigating Repetitions in Trip Recommendation
- Smaller, Faster, Cheaper: Architectural Designs for Efficient Machine Learning
- DepthFlow: Exploiting Depth-Flow Structural Correlations for Unsupervised Video Object Segmentation
- Sparse-mode Dynamic Mode Decomposition for Disambiguating Local and Global Structures
- Flora: Effortless Context Construction to Arbitrary Length and Scale
- SpecBPP: A Self-Supervised Learning Approach for Hyperspectral Representation and Soil Organic Carbon Estimation
- JDATT: A Joint Distillation Framework for Atmospheric Turbulence Mitigation and Target Detection
- Bag of Coins: A Statistical Probe into Neural Confidence Structures
- Self-Guided Masked Autoencoder
- A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery
- Are You There God? Lightweight Narrative Annotation of Christian Fiction with LMs
- Modeling enzyme temperature stability from sequence segment perspective
- Latest Object Memory Management for Temporally Consistent Video Instance Segmentation
- TokenBlowUp: Resolving Representational Singularities in LLM Token Spaces via Monoidal Transformations
- What Makes Code Generation Ethically Sourced?
- Preserving Guidance in Cost-Volume Retrieval under Extreme LiDAR Sparsity in Iterative Stereo
- Predicting Human Mobility during Extreme Events via LLM-Enhanced Cross-City Learning
- A Metabolic-Imaging Integrated Model for Prognostic Prediction in Colorectal Liver Metastases
- Integrating Activity Predictions in Knowledge Graphs
- Quaternion-Based Robust PCA for Efficient Moving Target Detection and Background Recovery in Color Videos
- HypKG: Hypergraph-based Knowledge Graph Contextualization for Precision Healthcare