192 citations · 845 across the 41 of their papers we have counts for
5 papers · 1 filter
Learning to Describe Solutions for Bug Reports Based on Developer Discussions
Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric +1
When a software bug is reported, developers engage in a discussion to collaboratively resolve it. While the solution is likely formulated within the discussion, it is often buried…
Impact of Evaluation Methodologies on Code Summarization
Pengyu Nie, Jiyang Zhang, Junyi Jessy Li +2
There has been a growing interest in developing machine learning (ML) models for code summarization tasks, e.g., comment generation and method naming. Despite substantial increase…
Zero-shot Task Adaptation using Natural Language
Prasoon Goyal, Raymond J. Mooney, Scott Niekum
Imitation learning and instruction-following are two common approaches to communicate a user's intent to a learning agent. However, as the complexity of tasks grows, it could be be…
TellMeWhy: A Dataset for Answering Why-Questions in Narratives
Yash Kumar Lal, Nathanael Chambers, Raymond Mooney +1
Answering questions about why characters perform certain actions is central to understanding and reasoning about narratives. Despite recent progress in QA, it is not clear if exist…
Learning to Generate Code Comments from Class Hierarchies
Jiyang Zhang, Sheena Panthaplackel, Pengyu Nie +3
Descriptive code comments are essential for supporting code comprehension and maintenance. We propose the task of automatically generating comments for overriding methods. We formu…