Satwik Bhattamishra

According to our database, Satwik Bhattamishra authored at least 13 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions.

Satwik Bhattamishra, Arkil Patel, Phil Blunsom, Varun Kanade

CoRR, 2023

Structural Transfer Learning in NL-to-Bash Semantic Parsers.

Kyle Duffy, Satwik Bhattamishra, Phil Blunsom

CoRR, 2023

DynaQuant: Compressing Deep Learning Training Checkpoints via Dynamic Quantization.

Amey Agrawal, Sameer Reddy, Satwik Bhattamishra, Venkata Prabhakara Sarath Nookala, Vidushi Vashishth, Kexin Rong, Alexey Tumanov

CoRR, 2023

MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations.

Arkil Patel, Satwik Bhattamishra, Siva Reddy, Dzmitry Bahdanau

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions.

Satwik Bhattamishra, Arkil Patel, Varun Kanade, Phil Blunsom

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Revisiting the Compositional Generalization Abilities of Neural Sequence Models.

Arkil Patel, Satwik Bhattamishra, Phil Blunsom, Navin Goyal

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021

Are NLP Models really able to Solve Simple Math Word Problems?

Arkil Patel, Satwik Bhattamishra, Navin Goyal

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

On the Ability of Self-Attention Networks to Recognize Counter Languages.

Satwik Bhattamishra, Kabir Ahuja, Navin Goyal

CoRR, 2020

On the Ability and Limitations of Transformers to Recognize Formal Languages.

Satwik Bhattamishra, Kabir Ahuja, Navin Goyal

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

On the Computational Power of Transformers and Its Implications in Sequence Modeling.

Satwik Bhattamishra, Arkil Patel, Navin Goyal

Proceedings of the 24th Conference on Computational Natural Language Learning, 2020

On the Practical Ability of Recurrent Neural Networks to Recognize Hierarchical Languages.

Satwik Bhattamishra, Kabir Ahuja, Navin Goyal

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Unsung Challenges of Building and Deploying Language Technologies for Low Resource Language Communities.

Pratik Joshi, Christain Barnes, Sebastin Santy, Simran Khanuja, Sanket Shah, Anirudh Srinivasan, Satwik Bhattamishra, Sunayana Sitaram, Monojit Choudhury, Kalika Bali

CoRR, 2019

Submodular Optimization-based Diverse Paraphrasing and its Effectiveness in Data Augmentation.

Ashutosh Kumar, Satwik Bhattamishra, Manik Bhandari, Partha P. Talukdar

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019