ICSE 2024
Fri 12 - Sun 21 April 2024 Lisbon, Portugal
Fri 19 Apr 2024 14:30 - 14:45 at Almada Negreiros - Language Models and Generated Code 3 Chair(s): Jie M. Zhang

Pretrained models for code have exhibited promising performance across various code-related tasks, such as code summarization, code completion, code translation, and bug detection. However, despite their success, the majority of current models still represent code as a token sequence, which may not adequately capture the essence of the underlying code structure.

In this work, we propose GrammarT5, a grammar-integrated encoder-decoder pretrained neural model for code. GrammarT5 employs a novel grammar-integrated representation, Tokenized Grammar Rule Sequence (TGRS), for code. TGRS is constructed based on the grammar rule sequence utilized in syntax-guided code generation and integrates syntax information with code tokens within an appropriate input length. Furthermore, we suggest attaching language flags to help GrammarT5 differentiate between grammar rules of various programming languages. Finally, we introduce two novel pre-training tasks—Edge Prediction (EP), and Sub-Tree Prediction (STP)—for GrammarT5 to learn syntactic information.

Experiments were conducted on five code-related tasks using eleven datasets, demonstrating that GrammarT5 achieves state-of-the-art performance on most tasks in comparison to models of the same scale. Additionally, the paper illustrates that the proposed pretraining tasks and language flags can enhance GrammarT5 to better capture the syntax and semantics of code.

Fri 19 Apr

Displayed time zone: Lisbon change

14:00 - 15:30
Language Models and Generated Code 3Research Track / Demonstrations at Almada Negreiros
Chair(s): Jie M. Zhang King’s College London
14:00
15m
Talk
CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models
Research Track
Hao Yu Peking University, Bo Shen Huawei Cloud Computing Technologies Co., Ltd., Dezhi Ran Peking University, Jiaxin Zhang Huawei Cloud Computing Technologies Co., Ltd., Qi Zhang Huawei Cloud Computing Technologies Co., Ltd., Yuchi Ma Huawei Cloud Computing Technologies CO., LTD., Guangtai Liang Huawei Cloud Computing Technologies, Ying Li School of Software and Microelectronics, Peking University, Beijing, China, Qianxiang Wang Huawei Technologies Co. Ltd, Tao Xie Peking University
14:15
15m
Talk
Inferring Data Preconditions from Deep Learning Models for Trustworthy Prediction in Deployment
Research Track
Shibbir Ahmed Iowa State University, Hongyang Gao Dept. of Computer Science, Iowa State University, Hridesh Rajan Iowa State University
14:30
15m
Talk
GrammarT5: Grammar-Integrated Pretrained Encoder-Decoder Neural Model for Code
Research Track
Qihao Zhu Peking University, Qingyuan Liang Peking University, Zeyu Sun Institute of Software, Chinese Academy of Sciences, Yingfei Xiong Peking University, Lu Zhang Peking University, Shengyu Cheng ZTE Corporation
14:45
15m
Talk
On Calibration of Pre-trained Code models
Research Track
Zhenhao Zhou Fudan University, Chaofeng Sha Fudan University, Xin Peng Fudan University
15:00
15m
Talk
Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models
Research Track
Shuzheng Gao , Wenxin Mao Harbin Institute of Technology, Cuiyun Gao Harbin Institute of Technology, Li Li Beihang University, Xing Hu Zhejiang University, Xin Xia Huawei Technologies, Michael Lyu The Chinese University of Hong Kong
15:15
7m
Talk
GitHubInclusifier: Finding and fixing non-inclusive language in GitHub Repositories
Demonstrations
Liam Todd Monash University, John Grundy Monash University, Christoph Treude Singapore Management University
Pre-print Media Attached
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