CoditT5: Pretraining for Source Code and Natural Language Editing

10 August 2022

Papers citing "CoditT5: Pretraining for Source Code and Natural Language Editing"

35 / 35 papers shown

Title
Turbulence: Systematically and Automatically Testing Instruction-Tuned Large Language Models for Code Shahin Honarvar Mark van der Wilk Alastair Donaldson 80 6 0 28 Jan 2025
LAMS: LLM-Driven Automatic Mode Switching for Assistive Teleoperation Yiran Tao Jehan Yang Dan Ding Zackory Erickson 38 0 0 15 Jan 2025
Semantic-guided Search for Efficient Program Repair with Large Language Models Thanh Le-Cong Bach Le Toby Murray 23 0 0 22 Oct 2024
Just-In-Time Software Defect Prediction via Bi-modal Change Representation Learning Yuze Jiang Beijun Shen Xiaodong Gu VLM 25 1 0 15 Oct 2024
Diffusion On Syntax Trees For Program Synthesis Shreyas Kapur Erik Jenner Stuart J. Russell DiffM 37 5 0 30 May 2024
Automated Program Repair: Emerging trends pose and expose problems for benchmarks J. Renzullo Pemma Reiter Westley Weimer Stephanie Forrest 42 1 0 08 May 2024
Automatic Programming: Large Language Models and Beyond Michael R. Lyu Baishakhi Ray Abhik Roychoudhury Shin Hwei Tan Patanamon Thongtanunam 33 15 0 03 May 2024
Aligning LLM Agents by Learning Latent Preference from User Edits Ge Gao Alexey Taymanov Eduardo Salinas Paul Mineiro Dipendra Kumar Misra LLMAG 37 27 0 23 Apr 2024
Linguacodus: A Synergistic Framework for Transformative Code Generation in Machine Learning Pipelines Ekaterina Trofimova Emil Sataev Andrey E. Ustyuzhanin 40 0 0 18 Mar 2024
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit Yao Wan Yang He Zhangqian Bi Jianguo Zhang Hongyu Zhang Yulei Sui Guandong Xu Hai Jin Philip S. Yu 43 20 0 30 Dec 2023
RepairLLaMA: Efficient Representations and Fine-Tuned Adapters for Program Repair André Silva Sen Fang Martin Monperrus MoMe KELM 70 38 0 25 Dec 2023
Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions Federico Cassano Luisa Li Akul Sethi Noah Shinn Abby Brennan-Jones ... Edward Berman George Chakhnashvili Anton Lozhkov C. Anderson Arjun Guha ELM KELM 51 22 0 11 Dec 2023
Refactoring Programs Using Large Language Models with Few-Shot Examples Atsushi Shirafuji Yusuke Oda Jun Suzuki Makoto Morishita Yutaka Watanobe 24 33 0 20 Nov 2023
SWE-bench: Can Language Models Resolve Real-World GitHub Issues? Carlos E. Jimenez John Yang Alexander Wettig Shunyu Yao Kexin Pei Ofir Press Karthik R. Narasimhan ELM 34 473 0 10 Oct 2023
LLaMA-Reviewer: Advancing Code Review Automation with Large Language Models through Parameter-Efficient Fine-Tuning Jun Lu Lei Yu Xiaojia Li Li Yang Chun Zuo ALM 27 72 0 22 Aug 2023
Large Language Models for Software Engineering: A Systematic Literature Review Xinying Hou Yanjie Zhao Yue Liu Zhou Yang Kailong Wang Li Li Xiapu Luo David Lo John C. Grundy Haoyu Wang 39 324 0 21 Aug 2023
Towards Automatically Addressing Self-Admitted Technical Debt: How Far Are We? A. Mastropaolo M. D. Penta Gabriele Bavota 31 7 0 17 Aug 2023
OctoPack: Instruction Tuning Code Large Language Models Niklas Muennighoff Qian Liu A. Zebaze Qinkai Zheng Binyuan Hui Terry Yue Zhuo Swayam Singh Xiangru Tang Leandro von Werra Shayne Longpre VLM ALM 71 119 0 14 Aug 2023
Multilingual Code Co-Evolution Using Large Language Models Jiyang Zhang Pengyu Nie Junyi Jessy Li Miloš Gligorić 32 20 0 27 Jul 2023
Toward Interactive Dictation Belinda Z. Li J. Eisner Adam Pauls Sam Thomson KELM 21 2 0 08 Jul 2023
Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review M. Wong Shangxin Guo Ching Nam Hang Siu-Wai Ho C. Tan 42 78 0 04 Jul 2023
Better patching using LLM prompting, via Self-Consistency Toufique Ahmed Prem Devanbu LRM ReLM KELM 57 27 0 31 May 2023
Coeditor: Leveraging Contextual Changes for Multi-round Code Auto-editing Jiayi Wei Greg Durrett Işıl Dillig KELM SyDa 38 11 0 29 May 2023
Coarse-Tuning Models of Code with Reinforcement Learning Feedback Abhinav C. P. Jain Chima Adiole Swarat Chaudhuri Thomas W. Reps Chris Jermaine Rice University ALM 25 2 0 25 May 2023
GrACE: Generation using Associated Code Edits Priyanshu Gupta Avishree Khare Yasharth Bajpai Saikat Chakraborty Sumit Gulwani Aditya Kanade Arjun Radhakrishna Gustavo Soares Ashish Tiwari 35 16 0 23 May 2023
Text-to-SQL Error Correction with Language Models of Code Ziru Chen Shijie Chen Michael White Raymond J. Mooney Ali Payani Jayanth Srinivasa Yu-Chuan Su Huan Sun KELM 18 10 0 22 May 2023
Towards Generating Functionally Correct Code Edits from Natural Language Issue Descriptions Sarah Fakhoury Saikat Chakraborty Madan Musuvathi Shuvendu K. Lahiri 38 21 0 07 Apr 2023
Interactive Text Generation Felix Faltings Michel Galley Baolin Peng Kianté Brantley Weixin Cai Yizhe Zhang Jianfeng Gao Bill Dolan 33 0 0 02 Mar 2023
On ML-Based Program Translation: Perils and Promises Aniketh Malyala K. Zhou Baishakhi Ray Saikat Chakraborty 29 5 0 21 Feb 2023
Learning Deep Semantics for Test Completion Pengyu Nie Rahul Banerjee Junyi Jessy Li Raymond J. Mooney Miloš Gligorić 33 54 0 20 Feb 2023
Multi-lingual Evaluation of Code Generation Models Ben Athiwaratkun Sanjay Krishna Gouda Zijian Wang Xiaopeng Li Yuchen Tian ... Baishakhi Ray Parminder Bhatia Sudipta Sengupta Dan Roth Bing Xiang ELM 120 161 0 26 Oct 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Chenyu You Guosheng Lin 246 1,492 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 204 853 0 09 Feb 2021
Learning Structural Edits via Incremental Tree Transformations Ziyu Yao Frank F. Xu Pengcheng Yin Huan Sun Graham Neubig CLL 154 27 0 28 Jan 2021
Patching as Translation: the Data and the Metaphor Yangruibo Ding Baishakhi Ray Prem Devanbu Vincent Hellendoorn 133 64 0 24 Aug 2020