3 papers
cs.CL2026
EviCare: Enhancing Diagnosis Prediction with Deep Model-Guided Evidence for In-Context Reasoning
Hengyu Zhang, Xuyun Zhang, Pengxiang Zhan +5
Recent advances in large language models (LLMs) have enabled promising progress in diagnosis prediction from electronic health records (EHRs). However, existing LLM-based approache…
cs.CL2025
Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining
Yanchao Tan, Hang Lv, Pengxiang Zhan +2
Graphs with abundant attributes are essential in modeling interconnected entities and enhancing predictions across various real-world applications. Traditional Graph Neural Network…
cs.CR2024
DMTG: A Human-Like Mouse Trajectory Generation Bot Based on Entropy-Controlled Diffusion Networks
Jiahua Liu, Zeyuan Cui, Wenhan Ge +1
CAPTCHAs protect against resource misuse and data theft by distinguishing human activity from automated bots. Advances in machine learning have made traditional image and text-base…