Enhancing Trust in LLM-Generated Code Summaries with Calibrated Confidence Scores

30 April 2024

Papers citing "Enhancing Trust in LLM-Generated Code Summaries with Calibrated Confidence Scores"

5 / 5 papers shown

Title
Few-shot training LLMs for project-specific code-summarization Toufique Ahmed Prem Devanbu 173 213 0 09 Jul 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq R. Joty S. Hoi 204 1,451 0 02 Sep 2021
On the Evaluation of Neural Code Summarization Ensheng Shi Yanlin Wang Lun Du Junjie Chen Shi Han Hongyu Zhang Dongmei Zhang Hongbin Sun ELM 110 85 0 15 Jul 2021
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Shuai Lu Daya Guo Shuo Ren Junjie Huang Alexey Svyatkovskiy ... Nan Duan Neel Sundaresan Shao Kun Deng Shengyu Fu Shujie Liu ELM 190 853 0 09 Feb 2021