Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback

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Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback

13 November 2023

Kai Tzu-iunn Ong

Seung-won Hwang

Jinyoung Yeo

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Papers citing "Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback"

7 / 7 papers shown

Title
Learning to Generate Unit Tests for Automated Debugging Archiki Prasad Elias Stengel-Eskin Justin Chih-Yao Chen Zaid Khan Joey Tianyi Zhou ELM 172 4 0 03 Feb 2025
RGD: Multi-LLM Based Agent Debugger via Refinement and Generation Guidance Haolin Jin Zechao Sun Huaming Chen LLMAG 79 2 0 02 Oct 2024
From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging Yuling Shi Songsong Wang Chengcheng Wan Xiaodong Gu ELM 103 9 0 02 Oct 2024
The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models Seungone Kim Juyoung Suk Ji Yong Cho Shayne Longpre Chaeeun Kim ... Sean Welleck Graham Neubig Moontae Lee Kyungjae Lee Minjoon Seo ELM ALM LM&MA 206 44 0 09 Jun 2024
Bugs in Large Language Models Generated Code: An Empirical Study Florian Tambon Arghavan Moradi Dakhel Amin Nikanjam Foutse Khomh Michel C. Desmarais G. Antoniol ELM 83 35 0 13 Mar 2024
Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions Federico Cassano Luisa Li Akul Sethi Noah Shinn Abby Brennan-Jones ... Edward Berman George Chakhnashvili Anton Lozhkov C. Anderson Arjun Guha ELM KELM 137 27 0 11 Dec 2023
WizardCoder: Empowering Code Large Language Models with Evol-Instruct Ziyang Luo Can Xu Pu Zhao Qingfeng Sun Xiubo Geng Wenxiang Hu Chongyang Tao Jing Ma Qingwei Lin Daxin Jiang ELM SyDa ALM 181 698 0 14 Jun 2023