7 citations · 7 across the 1 of their papers we have counts for
2 papers
cs.SE2025
TransLibEval: Demystify Large Language Models' Capability in Third-party Library-targeted Code Translation
Pengyu Xue, Kunwu Zheng, Zhen Yang +11
In recent years, Large Language Models (LLMs) have been widely studied in the code translation field on the method, class, and even repository levels. However, most of these benchm…
cs.CL2024★ 7 cited
Factuality of Large Language Models: A Survey
Yuxia Wang, Minghan Wang, Muhammad Arslan Manzoor +4
Large language models (LLMs), especially when instruction-tuned for chat, have become part of our daily lives, freeing people from the process of searching, extracting, and integra…