General-Science
Adaptive Dataset Quantization: A New Direction for Dataset Pruning
AI for software engineering: from probable to provable
AREA3D: Active Reconstruction Agent with Unified Feed-Forward 3D Perception and Vision-Language Guidance
Breaking Scale Anchoring: Frequency Representation Learning for Accurate High-Resolution Inference from Low-Resolution Training
Chunking Strategies for Multimodal AI Systems
Conveying Imagistic Thinking in Traditional Chinese Medicine Translation: A Prompt Engineering and LLM-Based Evaluation Framework
DeFi TrustBoost: Blockchain and AI for Trustworthy Decentralized Financial Decisions
Efficient Asynchronous Federated Evaluation with Strategy Similarity Awareness for Intent-Based Networking in Industrial Internet of Things
EnECG: Efficient Ensemble Learning for Electrocardiogram Multi-task Foundation Model
Escaping Barren Plateaus in Variational Quantum Algorithms Using Negative Learning Rate in Quantum Internet of Things
From Illusion to Intention: Visual Rationale Learning for Vision-Language Reasoning
Identification of Malicious Posts on the Dark Web Using Supervised Machine Learning
Iterative convergence in phase-field brittle fracture computations: exact line search is all you need
Learning to Prioritize IT Tickets: A Comparative Evaluation of Embedding-based Approaches and Fine-Tuned Transformer Models
LegalWebAgent: Empowering Access to Justice via LLM-Based Web Agents
LLM4XCE: Large Language Models for Extremely Large-Scale Massive MIMO Channel Estimation
LUMOS: Large User MOdels for User Behavior Prediction
MegaChat: A Synthetic Persian Q&A Dataset for High-Quality Sales Chatbot Evaluation
MindPower: Enabling Theory-of-Mind Reasoning in VLM-based Embodied Agents
Opening the Black Box: An Explainable, Few-shot AI4E Framework Informed by Physics and Expert Knowledge for Materials Engineering
ORCA: Open-ended Response Correctness Assessment for Audio Question Answering
ORION: Teaching Language Models to Reason Efficiently in the Language of Thought