3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.AI2026
Scientific Logicality Enriched Methodology for LLM Reasoning: A Practice in Physics
Zhaoxin Yu, Nan Xu, Kun Chen +3
With the continuous advancement of reasoning abilities in Large Language Models (LLMs), their application to scientific reasoning tasks has gained significant research attention. C…
cs.LG2024
Variational Graph Auto-Encoder Based Inductive Learning Method for Semi-Supervised Classification
Hanxuan Yang, Zhaoxin Yu, Qingchao Kong +2
Graph representation learning is a fundamental research issue in various domains of applications, of which the inductive learning problem is particularly challenging as it requires…
cs.CL2023★ 3 cited
YAYI 2: Multilingual Open-Source Large Language Models
Yin Luo, Qingchao Kong, Nan Xu +50
As the latest advancements in natural language processing, large language models (LLMs) have achieved human-level language understanding and generation abilities in many real-world…