Satwik Bhattamishra

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Boolean Functions

Formal Languages

Recurrent Neural Networks

Top Venues

Publications

Satwik Bhattamishra, Arkil Patel, Phil Blunsom, Varun Kanade
Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions. ICLR (2024)
Satwik Bhattamishra, Michael Hahn, Phil Blunsom, Varun Kanade
Separations in the Representational Capabilities of Transformers and Recurrent Architectures. CoRR (2024)
Kyle Duffy, Satwik Bhattamishra, Phil Blunsom
Structural Transfer Learning in NL-to-Bash Semantic Parsers. CoRR (2023)
Arkil Patel, Satwik Bhattamishra, Siva Reddy, Dzmitry Bahdanau
MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations. EMNLP (2023)
Arkil Patel, Satwik Bhattamishra, Siva Reddy, Dzmitry Bahdanau
MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations. CoRR (2023)
Amey Agrawal, Sameer Reddy, Satwik Bhattamishra, Venkata Prabhakara Sarath Nookala, Vidushi Vashishth, Kexin Rong, Alexey Tumanov
DynaQuant: Compressing Deep Learning Training Checkpoints via Dynamic Quantization. CoRR (2023)
Satwik Bhattamishra, Arkil Patel, Varun Kanade, Phil Blunsom
Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions. ACL (1) (2023)
Satwik Bhattamishra, Arkil Patel, Phil Blunsom, Varun Kanade
Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions. CoRR (2023)
Arkil Patel, Satwik Bhattamishra, Phil Blunsom, Navin Goyal
Revisiting the Compositional Generalization Abilities of Neural Sequence Models. ACL (2) (2022)
Satwik Bhattamishra, Arkil Patel, Varun Kanade, Phil Blunsom
Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions. CoRR (2022)
Arkil Patel, Satwik Bhattamishra, Phil Blunsom, Navin Goyal
Revisiting the Compositional Generalization Abilities of Neural Sequence Models. CoRR (2022)
Arkil Patel, Satwik Bhattamishra, Navin Goyal
Are NLP Models really able to Solve Simple Math Word Problems? NAACL-HLT (2021)
Arkil Patel, Satwik Bhattamishra, Navin Goyal
Are NLP Models really able to Solve Simple Math Word Problems? CoRR (2021)
Satwik Bhattamishra, Kabir Ahuja, Navin Goyal
On the Practical Ability of Recurrent Neural Networks to Recognize Hierarchical Languages. CoRR (2020)
Satwik Bhattamishra, Arkil Patel, Navin Goyal
On the Computational Power of Transformers and Its Implications in Sequence Modeling. CoNLL (2020)
Satwik Bhattamishra, Kabir Ahuja, Navin Goyal
On the Ability and Limitations of Transformers to Recognize Formal Languages. EMNLP (1) (2020)
Satwik Bhattamishra, Arkil Patel, Navin Goyal
On the Computational Power of Transformers and Its Implications in Sequence Modeling. CoRR (2020)
Satwik Bhattamishra, Kabir Ahuja, Navin Goyal
On the Ability of Self-Attention Networks to Recognize Counter Languages. CoRR (2020)
Satwik Bhattamishra, Kabir Ahuja, Navin Goyal
On the Practical Ability of Recurrent Neural Networks to Recognize Hierarchical Languages. COLING (2020)
Ashutosh Kumar, Satwik Bhattamishra, Manik Bhandari, Partha P. Talukdar
Submodular Optimization-based Diverse Paraphrasing and its Effectiveness in Data Augmentation. NAACL-HLT (1) (2019)
Pratik Joshi, Christain Barnes, Sebastin Santy, Simran Khanuja, Sanket Shah, Anirudh Srinivasan, Satwik Bhattamishra, Sunayana Sitaram, Monojit Choudhury, Kalika Bali
Unsung Challenges of Building and Deploying Language Technologies for Low Resource Language Communities. CoRR (2019)