Few-shot training LLMs for project-specific code-summarization

9 July 2022

Papers citing "Few-shot training LLMs for project-specific code-summarization"

23 / 23 papers shown

Title
Unveiling Pitfalls: Understanding Why AI-driven Code Agents Fail at GitHub Issue Resolution Zhi Chen Wei Ma Lingxiao Jiang LLMAG 94 0 0 16 Mar 2025
NL2KQL: From Natural Language to Kusto Query Amir H. Abdi Xinye Tang Jeremias Eichelbaum Mahan Das Alex Klein ... William Blum Daniel L Mace Tanvi Raja Namrata Padmanabhan Ye Xing 132 2 0 20 Jan 2025
Do Current Language Models Support Code Intelligence for R Programming Language? ZiXiao Zhao Fatemeh H. Fard ELM 79 0 0 10 Oct 2024
Code Generation and Algorithmic Problem Solving Using Llama 3.1 405B Aniket Deroy Subhankar Maity 141 5 0 26 Sep 2024
Can Large Language Models Understand Symbolic Graphics Programs? Zeju Qiu Weiyang Liu Haiwen Feng Zhen Liu Tim Z. Xiao Katherine M. Collins J. Tenenbaum Adrian Weller Michael J. Black Bernhard Schölkopf 112 14 0 15 Aug 2024
Can LLMs Replace Manual Annotation of Software Engineering Artifacts? Toufique Ahmed Premkumar Devanbu Christoph Treude Michael Pradel 117 17 0 10 Aug 2024
Natural Language Outlines for Code: Literate Programming in the LLM Era Kensen Shi Deniz Altınbüken Saswat Anand Mihai Christodorescu Katja Grünwedel ... Tobias Welp Pengcheng Yin Manzil Zaheer Satish Chandra Charles Sutton 94 6 0 09 Aug 2024
Bias Testing and Mitigation in LLM-based Code Generation Dong Huang Qingwen Bu Jie M. Zhang Xiaofei Xie Junjie Chen Heming Cui 85 24 0 03 Sep 2023
InCoder: A Generative Model for Code Infilling and Synthesis Daniel Fried Armen Aghajanyan Jessy Lin Sida I. Wang Eric Wallace Freda Shi Ruiqi Zhong Wen-tau Yih Luke Zettlemoyer M. Lewis SyDa 67 647 0 12 Apr 2022
Multilingual training for Software Engineering Toufique Ahmed Prem Devanbu 84 74 0 03 Dec 2021
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq Joty Guosheng Lin 287 1,560 0 02 Sep 2021
On the Evaluation of Neural Code Summarization Ensheng Shi Yanlin Wang Lun Du Junjie Chen Shi Han Hongyu Zhang Dongmei Zhang Hongbin Sun ELM 153 88 0 15 Jul 2021
Evaluating Large Language Models Trained on Code Mark Chen Jerry Tworek Heewoo Jun Qiming Yuan Henrique Pondé ... Bob McGrew Dario Amodei Sam McCandlish Ilya Sutskever Wojciech Zaremba ELM ALM 231 5,539 0 07 Jul 2021
Unified Pre-training for Program Understanding and Generation Wasi Uddin Ahmad Saikat Chakraborty Baishakhi Ray Kai-Wei Chang 129 766 0 10 Mar 2021
GraphCodeBERT: Pre-training Code Representations with Data Flow Daya Guo Shuo Ren Shuai Lu Zhangyin Feng Duyu Tang ... Dawn Drain Neel Sundaresan Jian Yin Daxin Jiang M. Zhou 142 1,134 0 17 Sep 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 795 42,055 0 28 May 2020
CodeBERT: A Pre-Trained Model for Programming and Natural Languages Zhangyin Feng Daya Guo Duyu Tang Nan Duan Xiaocheng Feng ... Linjun Shou Bing Qin Ting Liu Daxin Jiang Ming Zhou 162 2,637 0 19 Feb 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 439 20,181 0 23 Oct 2019
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search Hamel Husain Hongqiu Wu Tiferet Gazit Miltiadis Allamanis Marc Brockschmidt ELM 130 1,079 0 20 Sep 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 659 24,464 0 26 Jul 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 94,891 0 11 Oct 2018
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 367 7,518 0 02 Dec 2016
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 437 20,568 0 10 Sep 2014