4 papers
From Execution to Capability: Scientific Experience Consolidation via Procedural Knowledge Synthesis
Liwei Dong, Jiahao Zhao, Nan Xu
Large language models increasingly solve scientific-computing tasks, but executable feedback from one problem rarely becomes durable capability on subsequent problems. We study sci…
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…
SurveyEval: Towards Comprehensive Evaluation of LLM-Generated Academic Surveys
Jiahao Zhao, Shuaixing Zhang, Nan Xu +1
LLM-based automatic survey systems are transforming how users acquire information from the web by integrating retrieval, organization, and content synthesis into end-to-end generat…
Meow: End-to-End Outline Writing for Automatic Academic Survey
Zhaoyu Ma, Yuan Shan, Jiahao Zhao +2
As academic paper publication numbers grow exponentially, conducting in-depth surveys with LLMs automatically has become an inevitable trend. Outline writing, which aims to systema…