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Satwik Bhattamishra
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2020 – today
- 2024
- [c10]Amey Agrawal
, Sameer Reddy
Inshrinkerator: Compressing Deep Learning Training Checkpoints via Dynamic Quantization. SoCC 2024: 1012-1031 - [c9]Satwik Bhattamishra, Arkil Patel, Phil Blunsom, Varun Kanade:
Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions. ICLR 2024 - [i13]Satwik Bhattamishra, Michael Hahn, Phil Blunsom, Varun Kanade:
Separations in the Representational Capabilities of Transformers and Recurrent Architectures. CoRR abs/2406.09347 (2024) - [i12]Xinting Huang, Andy Yang, Satwik Bhattamishra, Yash Sarrof, Andreas Krebs, Hattie Zhou, Preetum Nakkiran, Michael Hahn:
A Formal Framework for Understanding Length Generalization in Transformers. CoRR abs/2410.02140 (2024) - 2023
- [c8]Satwik Bhattamishra, Arkil Patel, Varun Kanade, Phil Blunsom:
Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions. ACL (1) 2023: 5767-5791 - [c7]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: 2167-2189 - [i11]Amey Agrawal
DynaQuant: Compressing Deep Learning Training Checkpoints via Dynamic Quantization. CoRR abs/2306.11800 (2023) - [i10]Kyle Duffy, Satwik Bhattamishra, Phil Blunsom:
Structural Transfer Learning in NL-to-Bash Semantic Parsers. CoRR abs/2307.16795 (2023) - [i9]Satwik Bhattamishra, Arkil Patel, Phil Blunsom, Varun Kanade:
Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions. CoRR abs/2310.03016 (2023) - [i8]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 abs/2310.11634 (2023) - 2022
- [c6]Arkil Patel, Satwik Bhattamishra, Phil Blunsom, Navin Goyal:
Revisiting the Compositional Generalization Abilities of Neural Sequence Models. ACL (2) 2022: 424-434 - [i7]Arkil Patel, Satwik Bhattamishra, Phil Blunsom, Navin Goyal:
Revisiting the Compositional Generalization Abilities of Neural Sequence Models. CoRR abs/2203.07402 (2022) - [i6]Satwik Bhattamishra, Arkil Patel, Varun Kanade, Phil Blunsom:
Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions. CoRR abs/2211.12316 (2022) - 2021
- [c5]Arkil Patel, Satwik Bhattamishra, Navin Goyal:
Are NLP Models really able to Solve Simple Math Word Problems? NAACL-HLT 2021: 2080-2094 - [i5]Arkil Patel, Satwik Bhattamishra, Navin Goyal:
Are NLP Models really able to Solve Simple Math Word Problems? CoRR abs/2103.07191 (2021) - 2020
- [c4]Satwik Bhattamishra, Kabir Ahuja, Navin Goyal:
On the Practical Ability of Recurrent Neural Networks to Recognize Hierarchical Languages. COLING 2020: 1481-1494 - [c3]Satwik Bhattamishra, Arkil Patel, Navin Goyal:
On the Computational Power of Transformers and Its Implications in Sequence Modeling. CoNLL 2020: 455-475 - [c2]Satwik Bhattamishra, Kabir Ahuja, Navin Goyal:
On the Ability and Limitations of Transformers to Recognize Formal Languages. EMNLP (1) 2020: 7096-7116 - [i4]Satwik Bhattamishra, Arkil Patel, Navin Goyal:
On the Computational Power of Transformers and Its Implications in Sequence Modeling. CoRR abs/2006.09286 (2020) - [i3]Satwik Bhattamishra, Kabir Ahuja, Navin Goyal:
On the Ability of Self-Attention Networks to Recognize Counter Languages. CoRR abs/2009.11264 (2020) - [i2]Satwik Bhattamishra, Kabir Ahuja, Navin Goyal:
On the Practical Ability of Recurrent Neural Networks to Recognize Hierarchical Languages. CoRR abs/2011.03965 (2020)
2010 – 2019
- 2019
- [c1]Ashutosh Kumar, Satwik Bhattamishra, Manik Bhandari, Partha P. Talukdar:
Submodular Optimization-based Diverse Paraphrasing and its Effectiveness in Data Augmentation. NAACL-HLT (1) 2019: 3609-3619 - [i1]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 abs/1912.03457 (2019)
Coauthor Index
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