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INTERVENOR: Prompting the Coding Ability of Large Language Models with
  the Interactive Chain of Repair

INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair

16 November 2023
Hanbin Wang
Zhenghao Liu
Shuo Wang
Ganqu Cui
Ning Ding
Zhiyuan Liu
Ge Yu
    KELM
    LRM
ArXivPDFHTML

Papers citing "INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair"

3 / 3 papers shown
Title
QualityFlow: An Agentic Workflow for Program Synthesis Controlled by LLM Quality Checks
QualityFlow: An Agentic Workflow for Program Synthesis Controlled by LLM Quality Checks
Yaojie Hu
Qiang Zhou
Qihong Chen
Xiaopeng Li
Linbo Liu
Dejiao Zhang
Amit Kachroo
Talha Oz
Omer Tripp
47
3
0
20 Jan 2025
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
2,712
0
24 May 2022
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding
  and Generation
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
1