Department of Computer Science

Machine Learning Research Group

University of Texas at Austin Artificial Intelligence Lab

Publications: 2021


Show abstracts
  1. TellMeWhy: A Dataset for Answering Why-Questions in Narratives
    [Details] [PDF] [Slides (PDF)] [Video]
    Yash Kumar Lal, Nathanael Chambers, Raymond Mooney, Niranjan Balasubramanian
    In Findings of ACL 2021, August 2021.
  2. Zero-shot Task Adaptation using Natural Language
    [Details] [PDF]
    Prasoon Goyal, Raymond J. Mooney, Scott Niekum
    In Arxiv, June 2021.
  3. Facilitating Software Evolution through Natural Language Comments and Dialogue
    [Details] [PDF] [Slides (PDF)] [Video]
    Sheena Panthaplackel
    October 2021. Ph.D. Proposal.
  4. Using Natural Language to Aid Task Specification in Sequential Decision Making Problems
    [Details] [PDF] [Slides (PDF)] [Video]
    Prasoon Goyal
    October 2021. Ph.D. Proposal.
  5. Incorporating Textual Resources to Improve Visual Question Answering
    [Details] [PDF] [Slides (PDF)]
    Jialin Wu
    September 2021. Ph.D. Proposal.
  6. Supervised Attention from Natural Language Feedback for Reinforcement Learning
    [Details] [PDF]
    Clara Cecilia Cannon
    Masters Thesis, Department of Computer Science, The University of Texas at Austin, May 2021.
  7. Copy That! Editing Sequences by Copying Spans
    [Details] [PDF] [Slides (PPT)] [Slides (PDF)] [Poster]
    Sheena Panthaplackel, Miltiadis Allamanis, Marc Brockschmidt
    In The AAAI Conference on Artificial Intelligence (AAAI), February 2021.
  8. A Recap of Early Work onTheory and Knowledge Refinement
    [Details] [PDF] [Slides (PPT)]
    Raymond J. Mooney, Jude W. Shavlik
    In AAAI Spring Symposium on Combining Machine Learning and Knowledge Engineering, March 2021.
  9. Deep Just-In-Time Inconsistency Detection Between Comments and Source Code
    [Details] [PDF] [Slides (PDF)] [Poster] [Video]
    Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric, Raymond J. Mooney
    In The AAAI Conference on Artificial Intelligence (AAAI), February 2021.
  10. Improving VQA and its Explanations by Comparing Competing Explanations
    [Details] [PDF] [Slides (PDF)]
    Jialin Wu, Liyan Chen, Raymond J. Mooney
    In The AAAI Conference on Artificial Intelligence (AAAI), Explainable Agency in Artificial Intelligence Workshop, February 2021.
  11. Dialog Policy Learning for Joint Clarification and Active Learning Queries
    [Details] [PDF] [Slides (PDF)] [Poster] [Video]
    Aishwarya Padmakumar, Raymond J. Mooney
    In The AAAI Conference on Artificial Intelligence (AAAI), February 2021.