3 papers
cs.AI2026
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…
cs.CL2025
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…
cs.CL2025
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…