Satwik Bhattamishra

31 papers A* 4B 2Journal 19Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Discovering Interpretable Algorithms by Decompiling Transformers to RASP.
CoRR
Xinting Huang, Aleksandra Bakalova, Satwik Bhattamishra, William Merrill, Michael Hahn
2026 J jnl
Provably Learning Attention with Queries.
CoRR
Satwik Bhattamishra, Kulin Shah, Michael Hahn, Varun Kanade
2026 J jnl
The Transformer Cookbook.
Trans. Mach. Learn. Res.
Andy Yang, Christopher Watson, Anton Xue, Satwik Bhattamishra, Jose Llarena, William Merrill, Emile Dos Santos Ferreira, Anej Svete, David Chiang
2025 A* conf
A Formal Framework for Understanding Length Generalization in Transformers.
ICLR
Xinting Huang, Andy Yang, Satwik Bhattamishra, Yash Raj Sarrof, Andreas Krebs, Hattie Zhou, Preetum Nakkiran, Michael Hahn
2025 J jnl
Benefits and Limitations of Communication in Multi-Agent Reasoning.
CoRR
Michael Rizvi-Martel, Satwik Bhattamishra, Neil Rathi, Guillaume Rabusseau, Michael Hahn
2025 J jnl
Hardness of Learning Regular Languages in the Next Symbol Prediction Setting.
CoRR
Satwik Bhattamishra, Phil Blunsom, Varun Kanade
2025 J jnl
The Transformer Cookbook.
CoRR
Andy Yang, Christopher Watson, Anton Xue, Satwik Bhattamishra, Jose Llarena, William Merrill, Emile Dos Santos Ferreira, Anej Svete, David Chiang
2024 J jnl
A Formal Framework for Understanding Length Generalization in Transformers.
CoRR
Xinting Huang, Andy Yang, Satwik Bhattamishra, Yash Raj Sarrof, Andreas Krebs, Hattie Zhou, Preetum Nakkiran, Michael Hahn
2024 — conf
Inshrinkerator: Compressing Deep Learning Training Checkpoints via Dynamic Quantization.
SoCC
Amey Agrawal, Sameer Reddy, Satwik Bhattamishra, Venkata Prabhakara Sarath Nookala, Vidushi Vashishth, Kexin Rong, Alexey Tumanov
2024 A* conf
Separations in the Representational Capabilities of Transformers and Recurrent Architectures.
NeurIPS
Satwik Bhattamishra, Michael Hahn, Phil Blunsom, Varun Kanade
2024 J jnl
Separations in the Representational Capabilities of Transformers and Recurrent Architectures.
CoRR
Satwik Bhattamishra, Michael Hahn, Phil Blunsom, Varun Kanade
2024 A* conf
Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions.
ICLR
Satwik Bhattamishra, Arkil Patel, Phil Blunsom, Varun Kanade
2023 J jnl
DynaQuant: Compressing Deep Learning Training Checkpoints via Dynamic Quantization.
CoRR
Amey Agrawal, Sameer Reddy, Satwik Bhattamishra, Venkata Prabhakara Sarath Nookala, Vidushi Vashishth, Kexin Rong, Alexey Tumanov
2023 A* conf
MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations.
EMNLP
Arkil Patel, Satwik Bhattamishra, Siva Reddy, Dzmitry Bahdanau
2023 J jnl
MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations.
CoRR
Arkil Patel, Satwik Bhattamishra, Siva Reddy, Dzmitry Bahdanau
2023 — conf
Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions.
ACL (1)
Satwik Bhattamishra, Arkil Patel, Varun Kanade, Phil Blunsom
2023 J jnl
Structural Transfer Learning in NL-to-Bash Semantic Parsers.
CoRR
Kyle Duffy, Satwik Bhattamishra, Phil Blunsom
2023 J jnl
Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions.
CoRR
Satwik Bhattamishra, Arkil Patel, Phil Blunsom, Varun Kanade
2022 — conf
Revisiting the Compositional Generalization Abilities of Neural Sequence Models.
ACL (2)
Arkil Patel, Satwik Bhattamishra, Phil Blunsom, Navin Goyal
2022 J jnl
Revisiting the Compositional Generalization Abilities of Neural Sequence Models.
CoRR
Arkil Patel, Satwik Bhattamishra, Phil Blunsom, Navin Goyal
2022 J jnl
Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions.
CoRR
Satwik Bhattamishra, Arkil Patel, Varun Kanade, Phil Blunsom
2021 — conf
Are NLP Models really able to Solve Simple Math Word Problems?
NAACL-HLT
Arkil Patel, Satwik Bhattamishra, Navin Goyal
2021 J jnl
Are NLP Models really able to Solve Simple Math Word Problems?
CoRR
Arkil Patel, Satwik Bhattamishra, Navin Goyal
2020 — conf
On the Ability and Limitations of Transformers to Recognize Formal Languages.
EMNLP (1)
Satwik Bhattamishra, Kabir Ahuja, Navin Goyal
2020 J jnl
On the Ability of Self-Attention Networks to Recognize Counter Languages.
CoRR
Satwik Bhattamishra, Kabir Ahuja, Navin Goyal
2020 B conf
On the Computational Power of Transformers and Its Implications in Sequence Modeling.
CoNLL
Satwik Bhattamishra, Arkil Patel, Navin Goyal
2020 J jnl
On the Computational Power of Transformers and Its Implications in Sequence Modeling.
CoRR
Satwik Bhattamishra, Arkil Patel, Navin Goyal
2020 B conf
On the Practical Ability of Recurrent Neural Networks to Recognize Hierarchical Languages.
COLING
Satwik Bhattamishra, Kabir Ahuja, Navin Goyal
2020 J jnl
On the Practical Ability of Recurrent Neural Networks to Recognize Hierarchical Languages.
CoRR
Satwik Bhattamishra, Kabir Ahuja, Navin Goyal
2019 — conf
Submodular Optimization-based Diverse Paraphrasing and its Effectiveness in Data Augmentation.
NAACL-HLT (1)
Ashutosh Kumar, Satwik Bhattamishra, Manik Bhandari, Partha P. Talukdar
2019 J jnl
Unsung Challenges of Building and Deploying Language Technologies for Low Resource Language Communities.
CoRR
Pratik Joshi, Christain Barnes, Sebastin Santy, Simran Khanuja, Sanket Shah, Anirudh Srinivasan, Satwik Bhattamishra, Sunayana Sitaram, Monojit Choudhury, Kalika Bali