A Machine Learning Approach for Evaluating Creative Artifacts. - Disha Shrivastava; C. G. Saneem Ahmed; Anirban Laha; Karthik Sankaranarayanan (CoRR, 2017)

A Data and Model-Parallel, Distributed and Scalable Framework for Training of Deep Networks in Apache Spark. - Disha Shrivastava; Santanu Chaudhury; Jayadeva (CoRR, 2017)

Modeling Topical Coherence in Discourse without Supervision. - Disha Shrivastava; Abhijit Mishra; Karthik Sankaranarayanan (CoRR, 2018)

Hypernyms Through Intra-Article Organization in Wikipedia. - Disha Shrivastava; Sreyash Kenkre; Santosh Penubothula (CoRR, 2018)

Transfer Learning by Modeling a Distribution over Policies. - Disha Shrivastava; Eeshan Gunesh Dhekane; Riashat Islam (CoRR, 2019)

What is deemed computationally creative? - S. Agrawal; Anush Sankaran; Anirban Laha; Saneem A. Chemmengath; Disha Shrivastava; Karthik Sankaranarayanan (IBM J. Res. Dev., 2019)

Minimax and Neyman-Pearson Meta-Learning for Outlier Languages. - Edoardo Maria Ponti; Rahul Aralikatte; Disha Shrivastava; Siva Reddy; Anders Søgaard (ACL/IJCNLP (Findings), 2021)

Learning to Combine Per-Example Solutions for Neural Program Synthesis. - Disha Shrivastava; Hugo Larochelle; Daniel Tarlow (NeurIPS, 2021)

Repository-Level Prompt Generation for Large Language Models of Code. - Disha Shrivastava; Hugo Larochelle; Daniel Tarlow (ICML, 2023)

Approach Intelligent Writing Assistants Usability with Seven Stages of Action. - Avinash Bhat; Disha Shrivastava; Jin L. C. Guo (CoRR, 2023)

RepoFusion: Training Code Models to Understand Your Repository. - Disha Shrivastava; Denis Kocetkov; Harm de Vries; Dzmitry Bahdanau; Torsten Scholak (CoRR, 2023)

Do LLMs Meet the Needs of Software Tutorial Writers? Opportunities and Design Implications. - Avinash Bhat; Disha Shrivastava; Jin L. C. Guo (Conference on Designing Interactive Systems, 2024)

A Design Space for Intelligent and Interactive Writing Assistants. - Mina Lee 002; Katy Ilonka Gero; John Joon Young Chung; Simon Buckingham Shum; Vipul Raheja; Hua Shen 005; Subhashini Venugopalan; Thiemo Wambsganss; David Zhou; Emad A. Alghamdi; Tal August; Avinash Bhat; et al. (CHI, 2024)

Training Language Models to Self-Correct via Reinforcement Learning. - Aviral Kumar; Vincent Zhuang; Rishabh Agarwal; Yi Su; John D. Co-Reyes; Avi Singh; Kate Baumli; Shariq Iqbal; Colton Bishop; Rebecca Roelofs; Lei M. Zhang; Kay McKinney; et al. (ICLR, 2025)