Execution-based Code Generation using Deep Reinforcement Learning

31 January 2023

Papers citing "Execution-based Code Generation using Deep Reinforcement Learning"

49 / 49 papers shown

Title
Insights from Verification: Training a Verilog Generation LLM with Reinforcement Learning with Testbench Feedback N. Wang Bingkun Yao Jie Zhou Yuchen Hu Xi Wang Nan Guan Zhe Jiang OffRL 22 0 0 22 Apr 2025
Improving RL Exploration for LLM Reasoning through Retrospective Replay Shihan Dou Muling Wu Jingwen Xu Rui Zheng Tao Gui Qi Zhang Xuanjing Huang OffRL LRM 17 0 0 19 Apr 2025
Iterative Self-Training for Code Generation via Reinforced Re-Ranking Nikita Sorokin I. Sedykh Valentin Malykh 21 0 0 13 Apr 2025
ObscuraCoder: Powering Efficient Code LM Pre-Training Via Obfuscation Grounding Indraneil Paul Haoyi Yang Goran Glavas Kristian Kersting Iryna Gurevych AAML SyDa 34 0 0 27 Mar 2025
LLM Benchmarking with LLaMA2: Evaluating Code Development Performance Across Multiple Programming Languages Patrick Diehl Nojoud Nader Maxim Moraru Steven R. Brandt 34 1 0 24 Mar 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
The KoLMogorov Test: Compression by Code Generation Ori Yoran Kunhao Zheng Fabian Gloeckle Jonas Gehring Gabriel Synnaeve Taco Cohen 58 1 0 18 Mar 2025
Enhancing High-Quality Code Generation in Large Language Models with Comparative Prefix-Tuning Yuan Jiang Yujian Zhang Liang Lu Christoph Treude Xiaohong Su Shan Huang Tiantian Wang ALM 54 0 0 12 Mar 2025
Multi-Turn Code Generation Through Single-Step Rewards A. Jain Gonzalo Gonzalez-Pumariega Wayne Chen Alexander M. Rush Wenting Zhao Sanjiban Choudhury LRM 47 1 0 27 Feb 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
GenX: Mastering Code and Test Generation with Execution Feedback Nan Wang Yafei Liu Chen Chen H. Lu 79 1 0 18 Dec 2024
DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs Zhihan Liu Shenao Zhang Yongfei Liu Boyi Liu Yingxiang Yang Zhaoran Wang 111 2 0 20 Nov 2024
Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering Xinyan Guan Yanjiang Liu Xinyu Lu Boxi Cao Ben He ... Le Sun Jie Lou Bowen Yu Y. Lu Hongyu Lin ALM 79 2 0 18 Nov 2024
FALCON: Feedback-driven Adaptive Long/short-term memory reinforced Coding Optimization system Zeyuan Li Yangfan He Lewei He Jianhui Wang Tianyu Shi Bin Lei Yuchen Li Qiuwu Chen ALM 45 5 0 28 Oct 2024
Process Supervision-Guided Policy Optimization for Code Generation Ning Dai Zheng Wu Renjie Zheng Ziyun Wei Wenlei Shi Xing Jin Guanlin Liu Chen Dun Liang Huang Lin Yan 49 7 0 23 Oct 2024
Exploring RL-based LLM Training for Formal Language Tasks with Programmed Rewards Alexander Padula Dennis J. N. J. Soemers OffRL 19 0 0 22 Oct 2024
Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning Hao Ma Tianyi Hu Zhiqiang Pu Boyin Liu Xiaolin Ai Yanyan Liang Min Chen 32 3 0 08 Oct 2024
MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions Yekun Chai Haoran Sun Huang Fang Shuohuan Wang Yu Sun Hua-Hong Wu 36 1 0 03 Oct 2024
RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning Jonas Gehring Kunhao Zheng Jade Copet Vegard Mella Taco Cohen Gabriel Synnaeve LLMAG 24 20 0 02 Oct 2024
Evaluating Robustness of Reward Models for Mathematical Reasoning Sunghwan Kim Dongjin Kang Taeyoon Kwon Hyungjoo Chae Jungsoo Won Dongha Lee Jinyoung Yeo 23 4 0 02 Oct 2024
InverseCoder: Unleashing the Power of Instruction-Tuned Code LLMs with Inverse-Instruct Yutong Wu Di Huang Wenxuan Shi Wei Wang Lingzhe Gao ... Qi Guo Yewen Pu Dawei Yin Xing Hu Yunji Chen SyDa 18 1 0 08 Jul 2024
Unlock the Correlation between Supervised Fine-Tuning and Reinforcement Learning in Training Code Large Language Models Jie Chen Xintian Han Yu Ma Xun Zhou Liang Xiang ALM LRM 21 2 0 14 Jun 2024
RLSF: Reinforcement Learning via Symbolic Feedback Piyush Jha Prithwish Jana Arnav Arora Vijay Ganesh LRM 36 3 0 26 May 2024
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models Parshin Shojaee Kazem Meidani Shashank Gupta A. Farimani Chandan K. Reddy 37 13 0 29 Apr 2024
CovRL: Fuzzing JavaScript Engines with Coverage-Guided Reinforcement Learning for LLM-based Mutation Jueon Eom Seyeon Jeong Taekyoung Kwon 11 7 0 19 Feb 2024
AST-T5: Structure-Aware Pretraining for Code Generation and Understanding Linyuan Gong Mostafa Elhoushi Alvin Cheung 16 11 0 05 Jan 2024
LLM-Assisted Code Cleaning For Training Accurate Code Generators Naman Jain Tianjun Zhang Wei-Lin Chiang Joseph E. Gonzalez Koushik Sen Ion Stoica 28 20 0 25 Nov 2023
Fine-Tuning Language Models Using Formal Methods Feedback Yunhao Yang N. Bhatt Tyler Ingebrand William Ward Steven Carr Zhangyang Wang Ufuk Topcu 6 8 0 27 Oct 2023
Fine-tune Language Models to Approximate Unbiased In-context Learning Timothy Chu Zhao-quan Song Chiwun Yang 19 15 0 05 Oct 2023
$$\mathcal{B}$-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis$ $\mathcal{B}$ -Coder: Value-Based Deep Reinforcement Learning for Program Synthesis Zishun Yu Yunzhe Tao Liyu Chen Tao Sun Hongxia Yang 16 7 0 04 Oct 2023
Tool-Augmented Reward Modeling Lei Li Yekun Chai Shuohuan Wang Yu Sun Hao Tian Ningyu Zhang Hua-Hong Wu OffRL 30 13 0 02 Oct 2023
Efficient Avoidance of Vulnerabilities in Auto-completed Smart Contract Code Using Vulnerability-constrained Decoding André Storhaug Jingyue Li Tianyuan Hu AAML 13 14 0 18 Sep 2023
Deep Reinforcement Learning from Hierarchical Preference Design Alexander Bukharin Yixiao Li Pengcheng He Tuo Zhao 12 0 0 06 Sep 2023
Reinforcement Learning for Generative AI: A Survey Yuanjiang Cao Quan.Z Sheng Julian McAuley Lina Yao SyDa 33 10 0 28 Aug 2023
Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges Giorgio Franceschelli Mirco Musolesi AI4CE 16 19 0 31 Jul 2023
PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback Bo Shen Jiaxin Zhang Taihong Chen Daoguang Zan Bing Geng ... Ailun Yu Jichuan Ji Jingyang Zhao Yuenan Guo Qianxiang Wang ALM ELM 19 73 0 27 Jul 2023
Explaining Competitive-Level Programming Solutions using LLMs Jierui Li Szymon Tworkowski Yingying Wu Raymond J. Mooney LRM 26 16 0 11 Jul 2023
RLTF: Reinforcement Learning from Unit Test Feedback Jiate Liu Yiqin Zhu Kaiwen Xiao Qiang Fu Xiao Han Wei Yang Deheng Ye OffRL 31 53 0 10 Jul 2023
CoTran: An LLM-based Code Translator using Reinforcement Learning with Feedback from Compiler and Symbolic Execution Prithwish Jana Piyush Jha Haoyang Ju Gautham Kishore Aryan Mahajan Vijay Ganesh 19 12 0 11 Jun 2023
Neural Machine Translation for Code Generation K. Dharma Clayton T. Morrison 19 4 0 22 May 2023
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges Ziyuan Zhou Guanjun Liu Ying-Si Tang 25 14 0 17 May 2023
Transformer-based Planning for Symbolic Regression Parshin Shojaee Kazem Meidani A. Farimani Chandan K. Reddy 36 33 0 13 Mar 2023
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning Hung Le Yue Wang Akhilesh Deepak Gotmare Silvio Savarese S. Hoi SyDa ALM 118 232 0 05 Jul 2022
Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code Changan Niu Chuanyi Li Bin Luo Vincent Ng SyDa VLM 34 48 0 24 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
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
Measuring Coding Challenge Competence With APPS Dan Hendrycks Steven Basart Saurav Kadavath Mantas Mazeika Akul Arora ... Collin Burns Samir Puranik Horace He D. Song Jacob Steinhardt ELM AIMat ALM 192 614 0 20 May 2021
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 188 853 0 09 Feb 2021
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 214 7,687 0 17 Aug 2015