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Improving Code Generation by Training with Natural Language Feedback

Improving Code Generation by Training with Natural Language Feedback

28 March 2023
Angelica Chen
Jérémy Scheurer
Tomasz Korbak
Jon Ander Campos
Jun Shern Chan
Samuel R. Bowman
Kyunghyun Cho
Ethan Perez
    SyDa
    ALM
    AI4CE
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Papers citing "Improving Code Generation by Training with Natural Language Feedback"

25 / 25 papers shown
Title
CrashFixer: A crash resolution agent for the Linux kernel
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
62
0
0
29 Apr 2025
Aligning Crowd-sourced Human Feedback for Reinforcement Learning on Code Generation by Large Language Models
Aligning Crowd-sourced Human Feedback for Reinforcement Learning on Code Generation by Large Language Models
M. Wong
C. Tan
ALM
83
4
0
19 Mar 2025
Exploiting Edited Large Language Models as General Scientific Optimizers
Exploiting Edited Large Language Models as General Scientific Optimizers
Qitan Lv
T. Liu
Haoyu Wang
41
0
0
08 Mar 2025
LeDex: Training LLMs to Better Self-Debug and Explain Code
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
92
11
0
17 Feb 2025
Improving Existing Optimization Algorithms with LLMs
Improving Existing Optimization Algorithms with LLMs
Camilo Chacón Sartori
Christian Blum
50
1
0
12 Feb 2025
Teaching Language Models to Self-Improve by Learning from Language
  Feedback
Teaching Language Models to Self-Improve by Learning from Language Feedback
Chi Hu
Yimin Hu
Hang Cao
Tong Xiao
Jingbo Zhu
LRM
VLM
35
4
0
11 Jun 2024
Debug like a Human: A Large Language Model Debugger via Verifying
  Runtime Execution Step-by-step
Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step
Li Zhong
Zilong Wang
Jingbo Shang
29
47
0
25 Feb 2024
Explain-then-Translate: An Analysis on Improving Program Translation
  with Self-generated Explanations
Explain-then-Translate: An Analysis on Improving Program Translation with Self-generated Explanations
Zilu Tang
Mayank Agarwal
Alex Shypula
Bailin Wang
Derry Wijaya
Jie Chen
Yoon Kim
LRM
37
15
0
13 Nov 2023
AI-native Interconnect Framework for Integration of Large Language Model
  Technologies in 6G Systems
AI-native Interconnect Framework for Integration of Large Language Model Technologies in 6G Systems
Sasu Tarkoma
Roberto Morabito
Jaakko Sauvola
23
19
0
10 Nov 2023
CodeChain: Towards Modular Code Generation Through Chain of
  Self-revisions with Representative Sub-modules
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
28
42
0
13 Oct 2023
GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models
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
46
60
0
19 Sep 2023
Enhancing Network Management Using Code Generated by Large Language
  Models
Enhancing Network Management Using Code Generated by Large Language Models
Sathiya Kumaran Mani
Yajie Zhou
Kevin Hsieh
Santiago Segarra
Ranveer Chandra
Srikanth Kandula
41
22
0
11 Aug 2023
A Lightweight Framework for High-Quality Code Generation
A Lightweight Framework for High-Quality Code Generation
Mohammed Latif Siddiq
B.K. Casey
Joanna C. S. Santos
44
17
0
17 Jul 2023
Fine-Grained Human Feedback Gives Better Rewards for Language Model
  Training
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training
Zeqiu Wu
Yushi Hu
Weijia Shi
Nouha Dziri
Alane Suhr
Prithviraj Ammanabrolu
Noah A. Smith
Mari Ostendorf
Hannaneh Hajishirzi
ALM
30
304
0
02 Jun 2023
Neural Machine Translation for Code Generation
Neural Machine Translation for Code Generation
K. Dharma
Clayton T. Morrison
32
4
0
22 May 2023
LeTI: Learning to Generate from Textual Interactions
LeTI: Learning to Generate from Textual Interactions
Xingyao Wang
Hao Peng
Reyhaneh Jabbarvand
Heng Ji
35
30
0
17 May 2023
Training Language Models with Language Feedback at Scale
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
39
103
0
28 Mar 2023
Productivity Assessment of Neural Code Completion
Productivity Assessment of Neural Code Completion
Albert Ziegler
Eirini Kalliamvakou
Shawn Simister
Ganesh Sittampalam
Alice Li
Andrew Rice
Devon Rifkin
E. Aftandilian
102
177
0
13 May 2022
Training language models to follow instructions with human feedback
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
319
11,953
0
04 Mar 2022
A Systematic Evaluation of Large Language Models of Code
A Systematic Evaluation of Large Language Models of Code
Frank F. Xu
Uri Alon
Graham Neubig
Vincent J. Hellendoorn
ELM
ALM
204
631
0
26 Feb 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
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
382
8,495
0
28 Jan 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for
  Code Understanding and Generation
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Yue Wang
Weishi Wang
Shafiq R. Joty
S. Hoi
238
1,489
0
02 Sep 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
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
261
1,996
0
31 Dec 2020
Fine-Tuning Language Models from Human Preferences
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
280
1,595
0
18 Sep 2019
e-SNLI: Natural Language Inference with Natural Language Explanations
e-SNLI: Natural Language Inference with Natural Language Explanations
Oana-Maria Camburu
Tim Rocktaschel
Thomas Lukasiewicz
Phil Blunsom
LRM
260
620
0
04 Dec 2018
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