Papers
Sat 15 Mar 2025
170 papers
- VeriMind: Agentic LLM for Automated Verilog Generation with a Novel Evaluation MetricLLM agents and tool use → Software engineering coding agents
- Token-Level Uncertainty-Aware Objective for Language Model Post-TrainingKnowledge distillation → Knowledge distillation for LLMs
- ReBot: Scaling Robot Learning with Real-to-Sim-to-Real Robotic Video SynthesisVision-language-action models → Generalist VLA models and benchmarks
- From Demonstrations to Rewards: Alignment Without Explicit Human PreferencesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Cognitive Activation and Chaotic Dynamics in Large Language Models: A Quasi-Lyapunov Analysis of Reasoning MechanismsLLM reasoning → Reasoning benchmarks and evaluation
- Integrating Chain-of-Thought and Retrieval Augmented Generation Enhances Rare Disease Diagnosis from Clinical NotesLLM reasoning → Clinical and biomedical applications +1
- Towards Optimal Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Exploration of VLMs for Driver Monitoring Systems ApplicationsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- Reflect-DiT: Inference-Time Scaling for Text-to-Image Diffusion Transformers via In-Context ReflectionLLM reasoning → Diffusion reasoning and test-time scaling +1
- Agentic Search Engine for Real-Time IoT DataLLM agents and tool use → Web, search, and research agents
- RISE: Robust Imitation through Stochastic EncodingOffline RL and imitation learning from data → Imitation learning methods
- Transition Uncertainties in Constrained Markov Decision Models: A Robust Optimization ApproachDeep reinforcement learning methods → RL theory and sample complexity
- Evaluation-Time Policy Switching for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- TFHE-Coder: Evaluating LLM-agentic Fully Homomorphic Encryption Code GenerationLLM agents and tool use → Agent threats, guardrails and governance
- STAY Diffusion: Styled Layout Diffusion Model for Diverse Layout-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
- PredicateFix: Repairing Static Analysis Alerts with Bridging PredicatesRetrieval-augmented generation → RAG for code
- D4orm: Multi-Robot Trajectories with Dynamics-aware Diffusion Denoised DeformationsDiffusion models → Diffusion and flow policies for robotics
- S2IL: Structurally Stable Incremental LearningKnowledge distillation → Distillation for continual learning
- Multi-Agent Systems Execute Arbitrary Malicious CodeLLM agents and tool use → Agent threats, guardrails and governance
- DiffAD: A Unified Diffusion Modeling Approach for Autonomous DrivingDiffusion models → Diffusion and flow policies for robotics +1
- Seeing Sarcasm Through Different Eyes: Analyzing Multimodal Sarcasm Perception in Large Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Hyperbolic Safety-Aware Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- MT-RewardTree: A Comprehensive Framework for Advancing LLM-Based Machine Translation via Reward ModelingLLM reasoning → Reinforcement learning for reasoning +1
- Eval-PPO: Building an Efficient Threat Evaluator Using Proximal Policy OptimizationDeep reinforcement learning methods → RL theory and sample complexity
- O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- A Comprehensive Survey on Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- TACO: Taming Diffusion for in-the-wild Video Amodal CompletionDiffusion models → Video generation
- Hierarchical Reinforcement Learning for Safe Mapless Navigation with Congestion EstimationDeep reinforcement learning methods → Safe and constrained RL
- Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop TrainingEnd-to-end autonomous driving → End-to-end system architecture
- Enhancing LLM Performance Through Debate: An Empirical Study on Multi-Agent Debate for Coding TasksLLM agents and tool use → Social simulation and multi-agent debate
- CompArt: Operationalizing Aesthetic Alignment in Text-to-Image Generation via Principles of ArtDiffusion models → Image generation, text-to-image and editing
- QDM: Quadtree-Based Region-Adaptive Sparse Diffusion Models for Efficient Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- UniMamba: Unified Spatial-Channel Representation Learning with Group-Efficient Mamba for LiDAR-based 3D Object DetectionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Winning the MIDST Challenge: New Membership Inference Attacks on Diffusion Models for Tabular Data SynthesisDiffusion models → Robustness, privacy and adversarial aspects +1
- WiFi-Diffusion: Achieving Fine-Grained WiFi Radio Map Estimation With Ultra-Low Sampling Rate by Diffusion ModelsDiffusion models → Diffusion for compression and wireless
- Diffusion Dynamics Models with Generative State Estimation for Cloth ManipulationDiffusion models → Diffusion and flow policies for robotics
- Automation and Feature Selection Enhancement with Reinforcement Learning (RL)Deep reinforcement learning methods → Deep RL algorithms and representations
- Applications of Large Language Model Reasoning in Feature GenerationLLM reasoning → Reasoning benchmarks and evaluation
- SagaLLM: Context Management, Validation, and Transaction Guarantees for Multi-Agent LLM PlanningLLM agents and tool use → General LLM agent frameworks and benchmarks
- Your Text Encoder Can Be An Object-Level Watermarking ControllerLLM safety and security → Watermarking generated content and models
- Att-Adapter: A Robust and Precise Domain-Specific Multi-Attributes T2I Diffusion Adapter via Conditional Variational AutoencoderDiffusion models → Image generation, text-to-image and editing
- The Strategic Imperative for Healthcare Organizations to Build Proprietary Foundation Models
- LLM & HPC:Benchmarking DeepSeek's Performance in High-Performance Computing Tasks
- PIPO: Pipelined Offloading for Efficient Inference on Consumer Devices
- Brain2Text Decoding Model Reveals the Neural Mechanisms of Visual Semantic Processing
- Toward a Human-Centered AI-assisted Colonoscopy System in Australia
- Medifact at PerAnsSumm 2025: Leveraging Lightweight Models for Perspective-Specific Summarization of Clinical Q&A Forums
- A Logic of Uncertain Interpretation
- Threefold model for AI Readiness: A Case Study with Finnish Healthcare SMEs
- Spline refinement with differentiable rendering
- Salient Temporal Encoding for Dynamic Scene Graph Generation
- FedTilt: Towards Multi-Level Fairness-Preserving and Robust Federated Learning
- Unlocking Learning Potentials: The Transformative Effect of Generative AI in Education Across Grade Levels
- Multi-output Classification for Compound Fault Diagnosis in Motor under Partially Labeled Target Domain
- The Status Quo and Future of AI-TPACK for Mathematics Teacher Education Students: A Case Study in Chinese Universities
- Context-aware Multimodal AI Reveals Hidden Pathways in Five Centuries of Art Evolution
- Internet of Things-Based Smart Precision Farming in Soilless Agriculture: Opportunities and Challenges for Global Food Security
- Towards Learning High-Precision Least Squares Algorithms with Sequence Models
- The Lucie-7B LLM and the Lucie Training Dataset: Open resources for multilingual language generation
- Unified Modeling Language Code Generation from Diagram Images Using Multimodal Large Language Models
- A Resilience Framework for Bi-Criteria Combinatorial Optimization with Bandit Feedback
- REdiSplats: Ray Tracing for Editable Gaussian Splatting
- Toward Foundation Models for Online Complex Event Detection in CPS-IoT: A Case Study
- Probabilistic Forecasting for Dynamical Systems with Missing or Imperfect Data
- Cracking the PUMA Challenge in 24 Hours with CellViT++ and nnU-Net
- An Efficient Deep Learning-Based Approach to Automating Invoice Document Validation
- Support Collapse of Deep Gaussian Processes with Polynomial Kernels for a Wide Regime of Hyperparameters
- United we stand, Divided we fall: Handling Weak Complementary Relationships for Audio-Visual Emotion Recognition in Valence-Arousal Space
- Enhancing Facial Expression Recognition through Dual-Direction Attention Mixed Feature Networks and CLIP: Application to 8th ABAW Challenge
- Minuscule Cell Detection in AS-OCT Images with Progressive Field-of-View Focusing
- RePerformer: Immersive Human-centric Volumetric Videos from Playback to Photoreal Reperformance
- A Novel Double Pruning method for Imbalanced Data using Information Entropy and Roulette Wheel Selection for Breast Cancer Diagnosis
- From Laboratory to Real World: A New Benchmark Towards Privacy-Preserved Visible-Infrared Person Re-Identification
- LIAM: Multimodal Transformer for Language Instructions, Images, Actions and Semantic Maps
- Shadow Art Kanji: Inverse Rendering Application
- Adaptive Fault Tolerance Mechanisms of Large Language Models in Cloud Computing Environments
- Research on Large Language Model Cross-Cloud Privacy Protection and Collaborative Training based on Federated Learning
- Interpretation Gaps in LLM-Assisted Comprehension of Privacy Documents
- PA-CFL: Privacy-Adaptive Clustered Federated Learning for Transformer-Based Sales Forecasting on Heterogeneous Retail Data
- Adaptive Label Correction for Robust Medical Image Segmentation with Noisy Labels
- Gun Detection Using Combined Human Pose and Weapon Appearance
- Cross-Modal Diffusion for Biomechanical Dynamical Systems Through Local Manifold Alignment
- Changing Base Without Losing Pace: A GPU-Efficient Alternative to MatMul in DNNs
- TLAC: Two-stage LMM Augmented CLIP for Zero-Shot Classification
- Breaking the Box: Enhancing Remote Sensing Image Segmentation with Freehand Sketches
- Action-Gradient Monte Carlo Tree Search for Non-Parametric Continuous (PO)MDPs
- Bench2FreeAD: A Benchmark for Vision-based End-to-end Navigation in Unstructured Robotic Environments
- DPCS: Path Tracing-Based Differentiable Projector-Camera Systems
- LAPIG: Language Guided Projector Image Generation with Surface Adaptation and Stylization
- SEAL: Semantic Aware Image Watermarking
- Learning Extremely High Density Crowds as Active Matters
- PLM: Efficient Peripheral Language Models Hardware-Co-Designed for Ubiquitous Computing
- VTON 360: High-Fidelity Virtual Try-On from Any Viewing Direction
- Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs
- Aristotle's Original Idea: For and Against Logic in the era of AI
- Weighted Graph Structure Learning with Attention Denoising for Node Classification
- Efficient and Privacy-Preserved Link Prediction via Condensed Graphs
- Improving LLM-based Document-level Machine Translation with Multi-Knowledge Fusion
- Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis
- Language Models for Automated Classification of Brain MRI Reports and Growth Chart Generation
All 170
- Enhanced Sentiment Analysis of Iranian Restaurant Reviews Utilizing Sentiment Intensity Analyzer & Fuzzy Logic
- A State Alignment-Centric Approach to Federated System Identification: The FedAlign Framework
- DiffGAP: A Lightweight Diffusion Module in Contrastive Space for Bridging Cross-Model Gap
- Robust Isolation Forest using Soft Sparse Random Projection and Valley Emphasis Method
- Z-Magic: Zero-shot Multiple Attributes Guided Image Creator
- ICCO: Learning an Instruction-conditioned Coordinator for Language-guided Task-aligned Multi-robot Control
- Universal Speech Token Learning via Low-Bitrate Neural Codec and Pretrained Representations
- RECSIP: REpeated Clustering of Scores Improving the Precision
- ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables
- A Speech-to-Video Synthesis Approach Using Spatio-Temporal Diffusion for Vocal Tract MRI
- Large Language Models in Legislative Content Analysis: A Dataset from the Polish Parliament
- Towards Vision Zero: The TUM Traffic Accid3nD Dataset
- E-SAM: Training-Free Segment Every Entity Model
- SFMNet: Sparse Focal Modulation for 3D Object Detection
- Temporally Consistent Mitral Annulus Measurements from Sparse Annotations in Echocardiographic Videos
- FA-BARF: Frequency Adapted Bundle-Adjusting Neural Radiance Fields
- Automating the loop in traffic incident management on highway
- PICID: Proof-Driven Clause Learning in Neural Network Verification
- Comparing Human Expertise and Large Language Models Embeddings in Content Validity Assessment of Personality Tests
- V-Stylist: Video Stylization via Collaboration and Reflection of MLLM Agents
- Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models
- Robust Dataset Distillation by Matching Adversarial Trajectories
- Prototype-Based Image Prompting for Weakly Supervised Histopathological Image Segmentation
- Dataset Properties Shape the Success of Neuroimaging-Based Patient Stratification: A Benchmarking Analysis Across Clustering Algorithms
- Maritime Mission Planning for Unmanned Surface Vessel using Large Language Model
- DLA-Count: Dynamic Label Assignment Network for Dense Cell Distribution Counting
- EHNet: An Efficient Hybrid Network for Crowd Counting and Localization
- Revisiting Training-Inference Trigger Intensity in Backdoor Attacks
- Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints
- A Text-to-3D Framework for Joint Generation of CG-Ready Humans and Compatible Garments
- TLUE: A Tibetan Language Understanding Evaluation Benchmark
- PSGait: Gait Recognition using Parsing Skeleton
- Auditing Differential Privacy in the Black-Box Setting
- An LLM-Integrated Framework for Completion, Management, and Tracing of STPA
- Prosody-Enhanced Acoustic Pre-training and Acoustic-Disentangled Prosody Adapting for Movie Dubbing
- Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning
- MOS: Modeling Object-Scene Associations in Generalized Category Discovery
- Real-Time Manipulation Action Recognition with a Factorized Graph Sequence Encoder
- Challenges in Plane Symmetry: From Theory to Perception
- Leveraging Motion Information for Better Self-Supervised Video Correspondence Learning
- SteerX: Creating Any Camera-Free 3D and 4D Scenes with Geometric Steering
- Variance-Dependent Regret Lower Bounds for Contextual Bandits
- A Survey on Federated Fine-tuning of Large Language Models
- Learning Dual-Domain Multi-Scale Representations for Single Image Deraining
- Mixed-feature Logistic Regression Robust to Distribution Shifts
- ROS-SAM: High-Quality Interactive Segmentation for Remote Sensing Moving Object
- 3D Gaussian Splatting against Moving Objects for High-Fidelity Street Scene Reconstruction
- Fraesormer: Learning Adaptive Sparse Transformer for Efficient Food Recognition
- No LLM is Free From Bias: A Comprehensive Study of Bias Evaluation in Large Language Models
- DecompDreamer: A Composition-Aware Curriculum for Structured 3D Asset Generation
- DynaGSLAM: Real-Time Gaussian-Splatting SLAM for Online Rendering, Tracking, Motion Predictions of Moving Objects in Dynamic Scenes
- Snapmoji: Instant Generation of Animatable Dual-Stylized Avatars
- Machine Learning-Based Model for Postoperative Stroke Prediction in Coronary Artery Disease
- Evaluation of Intra-operative Patient-specific Methods for Point Cloud Completion for Minimally Invasive Liver Interventions
- Revisiting Gradient Descent: A Dual-Weight Method for Improved Learning
- Entropy-regularized Gradient Estimators for Approximate Bayesian Inference
- Effective and Efficient Cross-City Traffic Knowledge Transfer: A Privacy-Preserving Perspective
- HInter: Exposing Hidden Intersectional Bias in Large Language Models
- CHOrD: Generation of Collision-Free, House-Scale, and Organized Digital Twins for 3D Indoor Scenes with Controllable Floor Plans and Optimal Layouts
- Goal-Oriented Source Coding using LDPC Codes for Compressed-Domain Image Classification
- SPOC: Spatially-Progressing Object State Change Segmentation in Video
- Privacy Ethics Alignment in AI: A Stakeholder-Centric Framework for Ethical AI
- Integration of Explainable AI Techniques with Large Language Models for Enhanced Interpretability for Sentiment Analysis
- Ethical AI for Young Digital Citizens: A Call to Action on Privacy Governance
- Human Digital Twins in Personalized Healthcare: An Overview and Future Perspectives
- Integrating Product Coefficients for Improved 3D LiDAR Data Classification
- Design of an Expression Recognition Solution Based on the Global Channel-Spatial Attention Mechanism and Proportional Criterion Fusion
- End-to-End Edge AI Service Provisioning Framework in 6G ORAN
- SPRINT: Script-agnostic Structure Recognition in Tables
- Generating a Biometrically Unique and Realistic Iris Database