Improving Code Generation by Training with Natural Language Feedback

Improving Code Generation by Training with Natural Language Feedback

28 March 2023

Jérémy Scheurer

Jon Ander Campos

Samuel R. Bowman

Papers citing "Improving Code Generation by Training with Natural Language Feedback"

17 / 17 papers shown

Title
CrashFixer: A crash resolution agent for the Linux kernel Alex Mathai Chenxi Huang Suwei Ma Jihwan Kim Hailie Mitchell Aleksandr Nogikh Petros Maniatis Franjo Ivančić Junfeng Yang Baishakhi Ray 55 0 0 29 Apr 2025
Aligning Crowd-sourced Human Feedback for Reinforcement Learning on Code Generation by Large Language Models M. Wong C. Tan ALM 71 3 0 19 Mar 2025
LeDex: Training LLMs to Better Self-Debug and Explain Code Nan Jiang Xiaopeng Li Shiqi Wang Qiang Zhou Soneya Binta Hossain Baishakhi Ray Varun Kumar Xiaofei Ma Anoop Deoras LRM 78 10 0 17 Feb 2025
Teaching Language Models to Self-Improve by Learning from Language Feedback Chi Hu Yimin Hu Hang Cao Tong Xiao Jingbo Zhu LRM VLM 25 4 0 11 Jun 2024
AI-native Interconnect Framework for Integration of Large Language Model Technologies in 6G Systems Sasu Tarkoma Roberto Morabito Jaakko Sauvola 8 19 0 10 Nov 2023
CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules Hung Le Hailin Chen Amrita Saha Akash Gokul Doyen Sahoo Shafiq R. Joty LRM 20 41 0 13 Oct 2023
GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models Yonggan Fu Yongan Zhang Zhongzhi Yu Sixu Li Zhifan Ye Chaojian Li Cheng Wan Ying Lin 32 59 0 19 Sep 2023
Enhancing Network Management Using Code Generated by Large Language Models Sathiya Kumaran Mani Yajie Zhou Kevin Hsieh Santiago Segarra Ranveer Chandra Srikanth Kandula 31 22 0 11 Aug 2023
Training Language Models with Language Feedback at Scale Jérémy Scheurer Jon Ander Campos Tomasz Korbak Jun Shern Chan Angelica Chen Kyunghyun Cho Ethan Perez ALM 21 101 0 28 Mar 2023
Productivity Assessment of Neural Code Completion Albert Ziegler Eirini Kalliamvakou Shawn Simister Ganesh Sittampalam Alice Li Andrew Rice Devon Rifkin E. Aftandilian 102 176 0 13 May 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
A Systematic Evaluation of Large Language Models of Code Frank F. Xu Uri Alon Graham Neubig Vincent J. Hellendoorn ELM ALM 193 624 0 26 Feb 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 201 1,451 0 02 Sep 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 236 1,508 0 31 Dec 2020
Fine-Tuning Language Models from Human Preferences Daniel M. Ziegler Nisan Stiennon Jeff Wu Tom B. Brown Alec Radford Dario Amodei Paul Christiano G. Irving ALM 273 1,561 0 18 Sep 2019
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 249 618 0 04 Dec 2018