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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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HuggingFace (1 upvotes)
Github (80★)
Papers citing
"Improving Code Generation by Training with Natural Language Feedback"
29 / 29 papers shown
ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation
Yicong Zhao
Shisong Chen
Jiacheng Zhang
Zhixu Li
204
4
0
02 Sep 2025
Learning from Natural Language Feedback for Personalized Question Answering
Alireza Salemi
Hamed Zamani
255
4
0
14 Aug 2025
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
413
6
0
29 Apr 2025
Exploiting Edited Large Language Models as General Scientific Optimizers
North American Chapter of the Association for Computational Linguistics (NAACL), 2025
Qitan Lv
T. Liu
Haoyu Wang
523
6
0
08 Mar 2025
LeDex: Training LLMs to Better Self-Debug and Explain Code
Neural Information Processing Systems (NeurIPS), 2024
Nan Jiang
Xiaopeng Li
Shiqi Wang
Qiang Zhou
Soneya Binta Hossain
Baishakhi Ray
Varun Kumar
Xiaofei Ma
Hao Ding
LRM
484
46
0
17 Feb 2025
LLM4EFFI: Leveraging Large Language Models to Enhance Code Efficiency and Correctness
Tong Ye
Weigang Huang
Xinsong Zhang
Tengfei Ma
Peiyu Liu
Yuxiang Cai
Wenhai Wang
LLMAG
364
10
0
17 Feb 2025
Improving Existing Optimization Algorithms with LLMs
Camilo Chacón Sartori
Christian Blum
259
7
0
12 Feb 2025
Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Xiaoqing Zhang
Yuhan Liu
Flood Sung
Xiuying Chen
Shuo Shang
Rui Yan
312
4
0
30 Dec 2024
Beyond Functional Correctness: Investigating Coding Style Inconsistencies in Large Language Models
Yanlin Wang
Tianyue Jiang
Mingwei Liu
Jiachi Chen
Mingzhi Mao
Xilin Liu
Yuchi Ma
Zibin Zheng
530
19
0
29 Jun 2024
Teaching Language Models to Self-Improve by Learning from Language Feedback
Chi Hu
Yimin Hu
Hang Cao
Tong Xiao
Jingbo Zhu
LRM
VLM
269
9
0
11 Jun 2024
Comments as Natural Logic Pivots: Improve Code Generation via Comment Perspective
Yijie Chen
Yijin Liu
Fandong Meng
Jinan Xu
Jinan Xu
Jie Zhou
217
4
0
11 Apr 2024
Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning
International Conference on Learning Representations (ICLR), 2023
Nan Jiang
Chengxiao Wang
Kevin Liu
Xiangzhe Xu
Lin Tan
Xiangyu Zhang
OffRL
438
26
0
22 Nov 2023
Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey
ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
Xinyu She
Yue Liu
Yanjie Zhao
Yiling He
Li Li
Chakkrit Tantithamthavorn
Zhan Qin
Haoyu Wang
ELM
267
23
0
27 Oct 2023
Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
Juan Rocamonde
Victoriano Montesinos
Elvis Nava
Ethan Perez
David Lindner
VLM
454
151
0
19 Oct 2023
CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules
International Conference on Learning Representations (ICLR), 2023
Hung Le
Hailin Chen
Amrita Saha
Akash Gokul
Doyen Sahoo
Shafiq Joty
LRM
440
68
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
358
121
0
19 Sep 2023
Large Language Models for Software Engineering: A Systematic Literature Review
ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
Xinying Hou
Yanjie Zhao
Yue Liu
Zhou Yang
Kailong Wang
Li Li
Xiapu Luo
David Lo
John C. Grundy
Haoyu Wang
490
912
0
21 Aug 2023
A Lightweight Framework for High-Quality Code Generation
IEEE Working Conference on Source Code Analysis and Manipulation (SCAM), 2023
Mohammed Latif Siddiq
B.K. Casey
Joanna C. S. Santos
241
28
0
17 Jul 2023
Large Language Models for Supply Chain Optimization
Beibin Li
Konstantina Mellou
Bo-qing Zhang
Jeevan Pathuri
Ishai Menache
318
93
0
08 Jul 2023
Exploring and Characterizing Large Language Models For Embedded System Development and Debugging
Zachary Englhardt
Rong-Hua Li
Dilini Nissanka
Zhihan Zhang
Girish Narayanswamy
Joseph Breda
Xin Liu
Shwetak N. Patel
Vikram Iyer
318
38
0
07 Jul 2023
InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback
Neural Information Processing Systems (NeurIPS), 2023
John Yang
Akshara Prabhakar
Karthik Narasimhan
Shunyu Yao
597
200
0
26 Jun 2023
System-Level Natural Language Feedback
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Weizhe Yuan
Dong Wang
Jason Weston
451
5
0
23 Jun 2023
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training
Neural Information Processing Systems (NeurIPS), 2023
Zeqiu Wu
Yushi Hu
Weijia Shi
Nouha Dziri
Alane Suhr
Prithviraj Ammanabrolu
Noah A. Smith
Mari Ostendorf
Hannaneh Hajishirzi
ALM
580
447
0
02 Jun 2023
Neural Machine Translation for Code Generation
K. Dharma
Clayton T. Morrison
384
7
0
22 May 2023
AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback
Neural Information Processing Systems (NeurIPS), 2023
Yann Dubois
Xuechen Li
Rohan Taori
Tianyi Zhang
Ishaan Gulrajani
Jimmy Ba
Carlos Guestrin
Abigail Z. Jacobs
Tatsunori B. Hashimoto
ALM
658
831
0
22 May 2023
Generalized Planning in PDDL Domains with Pretrained Large Language Models
AAAI Conference on Artificial Intelligence (AAAI), 2023
Tom Silver
Soham Dan
Kavitha Srinivas
J. Tenenbaum
L. Kaelbling
Michael Katz
ELM
LRM
367
191
0
18 May 2023
LeTI: Learning to Generate from Textual Interactions
Xingyao Wang
Hao Peng
Reyhaneh Jabbarvand
Heng Ji
321
33
0
17 May 2023
Training Language Models with Language Feedback at Scale
Jérémy Scheurer
Jon Ander Campos
Tomasz Korbak
Jun Shern Chan
Angelica Chen
Dong Wang
Ethan Perez
ALM
484
130
0
28 Mar 2023
Pretraining Language Models with Human Preferences
International Conference on Machine Learning (ICML), 2023
Tomasz Korbak
Kejian Shi
Angelica Chen
Rasika Bhalerao
C. L. Buckley
Jason Phang
Sam Bowman
Ethan Perez
ALM
SyDa
455
286
0
16 Feb 2023
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