Papers
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Comparing Natural and Synthetic Structured Data: A Study of the Passive Verb Alternation in French and Italian
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Training-free Detection and 6D Pose Estimation of Unseen Surgical Instruments
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An Image Dataset of Common Skin Diseases of Bangladesh and Benchmarking Performance with Machine Learning Models
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A Unified Spatial Alignment Framework for Highly Transferable Transformation-Based Attacks on Spatially Structured Tasks
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Lingshu-Cell: A generative cellular world model for transcriptome modeling toward virtual cells
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Offline Decision Transformers for Neural Combinatorial Optimization: Surpassing Heuristics on the Traveling Salesman Problem
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FluxEDA: A Unified Execution Infrastructure for Stateful Agentic EDA
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Efficient Preemptive Robustification with Image Sharpening
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FEAST: Fully Connected Expressive Attention for Spatial Transcriptomics
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Semantic-Aware Prefix Learning for Token-Efficient Image Generation
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Activation Matters: Test-time Activated Negative Labels for OOD Detection with Vision-Language Models
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Does Explanation Correctness Matter? Linking Computational XAI Evaluation to Human Understanding
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MolQuest: A Benchmark for Agentic Evaluation of Abductive Reasoning in Chemical Structure Elucidation
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Hyperspectral Trajectory Image for Multi-Month Trajectory Anomaly Detection
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Mitigating Evasion Attacks in Fog Computing Resource Provisioning Through Proactive Hardening
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Towards Practical Lossless Neural Compression for LiDAR Point Clouds
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ViewSplat: View-Adaptive Dynamic Gaussian Splatting for Feed-Forward Synthesis
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Probabilistic Abstract Interpretation on Neural Networks via Grids Approximation
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EagleNet: Energy-Aware Fine-Grained Relationship Learning Network for Text-Video Retrieval
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CRAFT: Grounded Multi-Agent Coordination Under Partial Information
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When Hate Meets Facts: LLMs-in-the-Loop for Check-worthiness Detection in Hate Speech
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Distribution and Clusters Approximations as Abstract Domains in Probabilistic Abstract Interpretation to Neural Network Analysis
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V2U4Real: A Real-world Large-scale Dataset for Vehicle-to-UAV Cooperative Perception
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A Gait Foundation Model Predicts Multi-System Health Phenotypes from 3D Skeletal Motion
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SliderQuant: Accurate Post-Training Quantization for LLMs
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CSI-tuples-based 3D Channel Fingerprints Construction Assisted by MultiModal Learning
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Revealing the influence of participant failures on model quality in cross-silo Federated Learning
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DAGverse: Building Document-Grounded Semantic DAGs from Scientific Papers
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Towards Controllable Low-Light Image Enhancement: A Continuous Multi-illumination Dataset and Efficient State Space Framework
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Separate Before You Compress: The WWHO Tokenization Architecture
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Practical Efficient Global Optimization is No-regret
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Adaptive Learned Image Compression with Graph Neural Networks
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AD-CARE: A Guideline-grounded, Modality-agnostic LLM Agent for Real-world Alzheimer's Disease Diagnosis with Multi-cohort Assessment, Fairness Analysis, and Reader Study
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How Pruning Reshapes Features: Sparse Autoencoder Analysis of Weight-Pruned Language Models
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Evaluating Language Models for Harmful Manipulation
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Macroscopic Characteristics of Mixed Traffic Flow with Deep Reinforcement Learning Based Automated and Human-Driven Vehicles
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Beyond Detection: Rethinking Education in the Age of AI-writing
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Adaptive Chunking: Optimizing Chunking-Method Selection for RAG
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Agentic Trust Coordination for Federated Learning through Adaptive Thresholding and Autonomous Decision Making in Sustainable and Resilient Industrial Networks
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HeSS: Head Sensitivity Score for Sparsity Redistribution in VGGT
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Large Language Model as Token Compressor and Decompressor
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From Intent to Evidence: A Categorical Approach for Structural Evaluation of Deep Research Agents
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GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring
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Design and Development of an ML/DL Attack Resistance of RC-Based PUF for IoT Security
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Image Rotation Angle Estimation: Comparing Circular-Aware Methods
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4OPS: Structural Difficulty Modeling in Integer Arithmetic Puzzles
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InstanceAnimator: Multi-Instance Sketch Video Colorization
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Integrating Deep RL and Bayesian Inference for ObjectNav in Mobile Robotics
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A Distribution-to-Distribution Neural Probabilistic Forecasting Framework for Dynamical Systems
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Hessian-informed machine learning interatomic potential towards bridging theory and experiments
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