Publications: 2022

1. End-to-End Learning to Follow Language Instructions with Compositional Policies
   [Details] [PDF] [Poster]
   Vanya Cohen, Geraud Nangue Tasse, Nakul Gopalan, Steven James, Ray Mooney, Benjamin Rosman
   In Workshop on Language and Robot Learning at CoRL 2022, December 2022.
2. Planning with Large Language Models via Corrective Re-prompting
   [Details] [PDF]
   Shreyas Sundara Raman, Vanya Cohen, Eric Rosen, Ifrah Idrees, David Paulius, Stefanie Tellex
   In Foundation Models for Decision Making Workshop at NeurIPS 2022, January 2022.
3. Using Developer Discussions to Guide Fixing Bugs in Software
   [Details] [PDF] [Slides (PDF)] [Video]
   Sheena Panthaplackel, Milos Gligoric, Junyi Jessy Li, Raymond J. Mooney
   In Findings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), December 2022.
4. Incorporating External Information for Visual Question Answering
   [Details] [PDF] [Slides (PDF)]
   Jialin Wu
   PhD Thesis, Department of Computer Science, UT Austin, August 2022.
5. Zero-shot Video Moment Retrieval With Off-the-Shelf Models
   [Details] [PDF] [Poster]
   Anuj Diwan, Puyuan Peng, Raymond J. Mooney
   In Workshop on Transfer Learning for Natural Language Processing at NeurIPS 2022, December 2022.
6. Entity-Focused Dense Passage Retrieval for Outside-Knowledge Visual Question Answering
   [Details] [PDF] [Poster] [Video]
   Jialin Wu, Raymond Mooney
   In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), December 2022.
7. Using Natural Language to Aid Task Specification in Sequential Decision Making Problems
   [Details] [PDF] [Slides (PDF)] [Video]
   Prasoon Goyal
   PhD Thesis, Department of Computer Science, UT Austin, July 2022.
8. Facilitating Software Evolution through Natural Language Comments and Dialogue
   [Details] [PDF] [Slides (PDF)]
   Sheena Panthaplackel
   PhD Thesis, Department of Computer Science, UT Austin, August 2022.
9. Using Commonsense Knowledge to Answer Why-Questions
   [Details] [PDF] [Video]
   Yash Kumar Lal, Niket Tandon, Tanvi Aggarwal, Horace Liu, Nathanael Chambers, Raymond Mooney, Niranjan Balasubramanian
   In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, December 2022.
10. Updated Headline Generation: Creating Updated Summaries for Evolving News Stories
    [Details] [PDF] [Slides (PDF)] [Poster] [Video]
    Sheena Panthaplackel, Adrian Benton, Mark Dredze
    In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, May 2022.
11. Learning to Describe Solutions for Bug Reports Based on Developer Discussions
    [Details] [PDF] [Slides (PDF)] [Poster] [Video]
    Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric, Raymond J. Mooney
    In Findings of the Annual Meeting of the Association for Computational Linguistics (ACL), May 2022.
12. Impact of Evaluation Methodologies on Code Summarization
    [Details] [PDF] [Slides (PDF)] [Poster] [Video]
    Pengyu Nie and Jiyang Zhang and Junyi Jessy Li and Raymond J. Mooney and Milos Gligoric
    In Annual Meeting of the Association for Computational Linguistics, May 2022.
13. Multi-Modal Answer Validation for Knowledge-Based VQA
    [Details] [PDF] [Video]
    Jialin Wu, Jiasen Lu, Ashish Sabharwal, Roozbeh Mottaghi
    In Proceedings of the AAAI Conference on Artificial Intelligence, February 2022.
14. Towards Automated Error Analysis: Learning to Characterize Errors
    [Details] [PDF] [Poster]
    Tong Gao, Shivang Singh, Raymond J. Mooney
    Short version appears in the 19th International Florida Artificial Intelligence Research Society Conference (FLAIRS), May 2022.