Compilable Neural Code Generation with Compiler Feedback

10 March 2022

Xin Jiang

Qun Liu

ArXiv PDF HTML

Papers citing "Compilable Neural Code Generation with Compiler Feedback"

37 / 37 papers shown

Title
CodeBC: A More Secure Large Language Model for Smart Contract Code Generation in Blockchain LingXiang Wang Hainan Zhang Qinnan Zhang Ziwei Wang Hongwei Zheng Jin Dong Zhiming Zheng 51 0 0 28 Apr 2025
Integrating Symbolic Execution into the Fine-Tuning of Code-Generating LLMs Marina Sakharova Abhinav Anand Mira Mezini 54 0 0 21 Apr 2025
Towards an Understanding of Context Utilization in Code Intelligence Yanlin Wang Kefeng Duan Dewu Zheng Ensheng Shi F. Zhang ... Xilin Liu Yuchi Ma Hongyu Zhang Qianxiang Wang Zibin Zheng 29 0 0 11 Apr 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 61 0 0 12 Mar 2025
Exploring Code Language Models for Automated HLS-based Hardware Generation: Benchmark, Infrastructure and Analysis Jiahao Gai Chen Zhican Wang Hongyu Zhou Wanru Zhao Nicholas D. Lane Hongxiang Fan 49 1 0 19 Feb 2025
Process-Supervised Reinforcement Learning for Code Generation Yufan Ye Ting Zhang Wenbin Jiang Hua Huang OffRL LRM SyDa 55 1 0 03 Feb 2025
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 56 5 0 28 Oct 2024
Mastering the Craft of Data Synthesis for CodeLLMs Meng Chen Philip Arthur Qianyu Feng Cong Duy Vu Hoang Yu-Heng Hong ... Mark Johnson K. K. Don Dharmasiri Long Duong Yuan-Fang Li SyDa 55 1 0 16 Oct 2024
$$\mathbb{USCD}$: Improving Code Generation of LLMs by Uncertainty-Aware Selective Contrastive Decoding$ $\mathbb{USCD}$ : Improving Code Generation of LLMs by Uncertainty-Aware Selective Contrastive Decoding Shuai Wang Liang Ding Li Shen Yong Luo Zheng He Wei Yu Dacheng Tao 33 0 0 09 Sep 2024
FDI: Attack Neural Code Generation Systems through User Feedback Channel Zhensu Sun Xiaoning Du Xiapu Luo Fu Song David Lo Li Li AAML 23 3 0 08 Aug 2024
Code-Optimise: Self-Generated Preference Data for Correctness and Efficiency Leonidas Gee Milan Gritta Gerasimos Lampouras Ignacio Iacobacci 21 10 0 18 Jun 2024
A Survey on Large Language Models for Code Generation Juyong Jiang Fan Wang Jiasi Shen Sungju Kim Sunghun Kim 40 159 0 01 Jun 2024
RLSF: Reinforcement Learning via Symbolic Feedback Piyush Jha Prithwish Jana Arnav Arora Vijay Ganesh LRM 36 3 0 26 May 2024
IntelliExplain: Enhancing Interactive Code Generation through Natural Language Explanations for Non-Professional Programmers Hao Yan Thomas D. Latoza Ziyu Yao LRM 33 0 0 16 May 2024
Teaching Machines to Code: Smart Contract Translation with LLMs Rabimba Karanjai Lei Xu Weidong Shi 38 6 0 13 Mar 2024
Test-Driven Development for Code Generation N. Mathews Mei Nagappan 27 7 0 21 Feb 2024
StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback Shihan Dou Yan Liu Haoxiang Jia Limao Xiong Enyu Zhou ... Tao Ji Rui Zheng Qi Zhang Xuanjing Huang Tao Gui LLMAG 54 28 0 02 Feb 2024
If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents Ke Yang Jiateng Liu John Wu Chaoqi Yang Yi Ren Fung ... Xu Cao Xingyao Wang Yiquan Wang Heng Ji Chengxiang Zhai LLMAG ELM 18 73 0 01 Jan 2024
INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair Hanbin Wang Zhenghao Liu Shuo Wang Ganqu Cui Ning Ding Zhiyuan Liu Ge Yu KELM LRM 27 8 0 16 Nov 2023
Automatic Unit Test Data Generation and Actor-Critic Reinforcement Learning for Code Synthesis P. Gorinski Matthieu Zimmer Gerasimos Lampouras Derrick-Goh-Xin Deik Ignacio Iacobacci ALM OffRL 30 3 0 20 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 24 7 0 04 Oct 2023
Reinforcement Learning for Generative AI: A Survey Yuanjiang Cao Quan.Z Sheng Julian McAuley Lina Yao SyDa 42 10 0 28 Aug 2023
Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks Domenico Cotroneo Cristina Improta Pietro Liguori R. Natella SILM 17 22 0 04 Aug 2023
Large Language Models for Supply Chain Optimization Beibin Li Konstantina Mellou Bo-qing Zhang Jeevan Pathuri Ishai Menache 18 43 0 08 Jul 2023
InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback John Yang Akshara Prabhakar Karthik Narasimhan Shunyu Yao 14 102 0 26 Jun 2023
Exploring the Robustness of Large Language Models for Solving Programming Problems Atsushi Shirafuji Yutaka Watanobe Takumi Ito Makoto Morishita Yuki Nakamura Yusuke Oda Jun Suzuki ELM 31 17 0 26 Jun 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
Zero-shot Visual Question Answering with Language Model Feedback Yifan Du Junyi Li Tianyi Tang Wayne Xin Zhao Ji-Rong Wen 16 13 0 26 May 2023
A New Era in Software Security: Towards Self-Healing Software via Large Language Models and Formal Verification Norbert Tihanyi Ridhi Jain Yiannis Charalambous M. Ferrag Youcheng Sun Lucas C. Cordeiro 21 48 0 24 May 2023
Neural Machine Translation for Code Generation K. Dharma Clayton T. Morrison 30 4 0 22 May 2023
Execution-based Code Generation using Deep Reinforcement Learning Parshin Shojaee Aneesh Jain Sindhu Tipirneni Chandan K. Reddy 23 50 0 31 Jan 2023
CodePAD: Sequence-based Code Generation with Pushdown Automaton Yihong Dong Xue Jiang Yuchen Liu Ge Li Zhi Jin 17 6 0 02 Nov 2022
CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training Xin Wang Yasheng Wang Yao Wan Jiawei Wang Pingyi Zhou Li Li Hao Wu Jin Liu 16 33 0 04 May 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq R. Joty S. Hoi 210 1,485 0 02 Sep 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 196 853 0 09 Feb 2021
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 275 1,583 0 18 Sep 2019
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 214 7,687 0 17 Aug 2015