Arkil Patel

According to our database1, Arkil Patel authored at least 10 papers between 2019 and 2024.

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Bibliography

2024
Universal Adversarial Triggers Are Not Universal.
CoRR, 2024

Evaluating In-Context Learning of Libraries for Code Generation.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 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
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

Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
When Can Transformers Ground and Compose: Insights from Compositional Generalization Benchmarks.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Revisiting the Compositional Generalization Abilities of Neural Sequence Models.
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?
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020
On the Computational Power of Transformers and Its Implications in Sequence Modeling.
Proceedings of the 24th Conference on Computational Natural Language Learning, 2020

2019
VehicleChain: Blockchain-based Vehicular Data Transmission Scheme for Smart City.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019


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