Disha Shrivastava

19 papers A* 4A 1Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A* conf
Training Language Models to Self-Correct via Reinforcement Learning.
ICLR
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, Disha Shrivastava, Cosmin Paduraru, George Tucker, Doina Precup, Feryal M. P. Behbahani, Aleksandra Faust
2024 A* conf
A Design Space for Intelligent and Interactive Writing Assistants.
CHI
Mina Lee, Katy Ilonka Gero, John Joon Young Chung, Simon Buckingham Shum, Vipul Raheja, Hua Shen, Subhashini Venugopalan, Thiemo Wambsganss, David Zhou, Emad A. Alghamdi, Tal August, Avinash Bhat, Madiha Zahrah Choksi, Senjuti Dutta, Jin L. C. Guo, Md. Naimul Hoque, Yewon Kim, Simon Knight, Seyed Parsa Neshaei, Antonette Shibani, Disha Shrivastava, Lila Shroff, Agnia Sergeyuk, Jessi Stark, Sarah Sterman, Sitong Wang, Antoine Bosselut, Daniel Buschek, Joseph Chee Chang, Sherol Chen, Max Kreminski, Joonsuk Park, Roy Pea, Eugenia Ha Rim Rho, Zejiang Shen, Pao Siangliulue
2024 J jnl
A Design Space for Intelligent and Interactive Writing Assistants.
CoRR
Mina Lee, Katy Ilonka Gero, John Joon Young Chung, Simon Buckingham Shum, Vipul Raheja, Hua Shen, Subhashini Venugopalan, Thiemo Wambsganss, David Zhou, Emad A. Alghamdi, Tal August, Avinash Bhat, Madiha Zahrah Choksi, Senjuti Dutta, Jin L. C. Guo, Md. Naimul Hoque, Yewon Kim, Simon Knight, Seyed Parsa Neshaei, Agnia Sergeyuk, Antonette Shibani, Disha Shrivastava, Lila Shroff, Jessi Stark, Sarah Sterman, Sitong Wang, Antoine Bosselut, Daniel Buschek, Joseph Chee Chang, Sherol Chen, Max Kreminski, Joonsuk Park, Roy Pea, Eugenia Ha Rim Rho, Shannon Zejiang Shen, Pao Siangliulue
2024 A conf
Do LLMs Meet the Needs of Software Tutorial Writers? Opportunities and Design Implications.
Conference on Designing Interactive Systems
Avinash Bhat, Disha Shrivastava, Jin L. C. Guo
2024 J jnl
Training Language Models to Self-Correct via Reinforcement Learning.
CoRR
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, Disha Shrivastava, Cosmin Paduraru, George Tucker, Doina Precup, Feryal M. P. Behbahani, Aleksandra Faust
2023 J jnl
Approach Intelligent Writing Assistants Usability with Seven Stages of Action.
CoRR
Avinash Bhat, Disha Shrivastava, Jin L. C. Guo
2023 J jnl
RepoFusion: Training Code Models to Understand Your Repository.
CoRR
Disha Shrivastava, Denis Kocetkov, Harm de Vries, Dzmitry Bahdanau, Torsten Scholak
2023 A* conf
Repository-Level Prompt Generation for Large Language Models of Code.
ICML
Disha Shrivastava, Hugo Larochelle, Daniel Tarlow
2022 J jnl
Repository-Level Prompt Generation for Large Language Models of Code.
CoRR
Disha Shrivastava, Hugo Larochelle, Daniel Tarlow
2021 A* conf
Learning to Combine Per-Example Solutions for Neural Program Synthesis.
NeurIPS
Disha Shrivastava, Hugo Larochelle, Daniel Tarlow
2021 J jnl
Learning to Combine Per-Example Solutions for Neural Program Synthesis.
CoRR
Disha Shrivastava, Hugo Larochelle, Daniel Tarlow
2021 — conf
Minimax and Neyman-Pearson Meta-Learning for Outlier Languages.
ACL/IJCNLP (Findings)
Edoardo Maria Ponti, Rahul Aralikatte, Disha Shrivastava, Siva Reddy, Anders Søgaard
2021 J jnl
Minimax and Neyman-Pearson Meta-Learning for Outlier Languages.
CoRR
Edoardo Maria Ponti, Rahul Aralikatte, Disha Shrivastava, Siva Reddy, Anders Søgaard
2019 J jnl
Transfer Learning by Modeling a Distribution over Policies.
CoRR
Disha Shrivastava, Eeshan Gunesh Dhekane, Riashat Islam
2019 J jnl
What is deemed computationally creative?
IBM J. Res. Dev.
S. Agrawal, Anush Sankaran, Anirban Laha, Saneem A. Chemmengath, Disha Shrivastava, Karthik Sankaranarayanan
2018 J jnl
Hypernyms Through Intra-Article Organization in Wikipedia.
CoRR
Disha Shrivastava, Sreyash Kenkre, Santosh Penubothula
2018 J jnl
Modeling Topical Coherence in Discourse without Supervision.
CoRR
Disha Shrivastava, Abhijit Mishra, Karthik Sankaranarayanan
2017 J jnl
A Data and Model-Parallel, Distributed and Scalable Framework for Training of Deep Networks in Apache Spark.
CoRR
Disha Shrivastava, Santanu Chaudhury, Jayadeva
2017 J jnl
A Machine Learning Approach for Evaluating Creative Artifacts.
CoRR
Disha Shrivastava, C. G. Saneem Ahmed, Anirban Laha, Karthik Sankaranarayanan