Satwik Bhattamishra
According to our database1,
Satwik Bhattamishra
authored at least 14 papers
between 2019 and 2024.
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Bibliography
2024
Separations in the Representational Capabilities of Transformers and Recurrent Architectures.
CoRR, 2024
Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
CoRR, 2023
MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022
2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
2020
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.
Proceedings of the 24th Conference on Computational Natural Language Learning, 2020
On the Practical Ability of Recurrent Neural Networks to Recognize Hierarchical Languages.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
2019
Unsung Challenges of Building and Deploying Language Technologies for Low Resource Language Communities.
CoRR, 2019
Submodular Optimization-based Diverse Paraphrasing and its Effectiveness in Data Augmentation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019