192 citations · 845 across the 41 of their papers we have counts for
23 papers · 1 filter
Explaining Competitive-Level Programming Solutions using LLMs
Jierui Li, Szymon Tworkowski, Yingying Wu +1
In this paper, we approach competitive-level programming problem-solving as a composite task of reasoning and code generation. We propose a novel method to automatically annotate n…
Text-to-SQL Error Correction with Language Models of Code
Ziru Chen, Shijie Chen, Michael White +5
Despite recent progress in text-to-SQL parsing, current semantic parsers are still not accurate enough for practical use. In this paper, we investigate how to build automatic text-…
Entity-Focused Dense Passage Retrieval for Outside-Knowledge Visual Question Answering
Jialin Wu, Raymond J. Mooney
Most Outside-Knowledge Visual Question Answering (OK-VQA) systems employ a two-stage framework that first retrieves external knowledge given the visual question and then predicts t…
Towards Automated Error Analysis: Learning to Characterize Errors
Tong Gao, Shivang Singh, Raymond J. Mooney
Characterizing the patterns of errors that a system makes helps researchers focus future development on increasing its accuracy and robustness. We propose a novel form of "meta lea…
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…
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…