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Arkil Patel
Arkil Patel
CS PhD Student, Mila and McGill University
Correu electrònic verificat a mila.quebec - Pàgina d'inici
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Are NLP Models really able to Solve Simple Math Word Problems?
A Patel, S Bhattamishra, N Goyal
NAACL, 2021
6732021
On the computational power of transformers and its implications in sequence modeling
S Bhattamishra, A Patel, N Goyal
CoNLL, 2020
772020
Understanding in-context learning in transformers and llms by learning to learn discrete functions
S Bhattamishra, A Patel, P Blunsom, V Kanade
ICLR, 2023
382023
Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions
S Bhattamishra, A Patel, V Kanade, P Blunsom
ACL, 2023
362023
Revisiting the Compositional Generalization Abilities of Neural Sequence Models
A Patel, S Bhattamishra, P Blunsom, N Goyal
ACL, 2022
312022
Vehiclechain: blockchain-based vehicular data transmission scheme for smart city
A Patel, N Shah, T Limbasiya, D Das
IEEE - SMC, 2019
242019
When Can Transformers Ground and Compose: Insights from Compositional Generalization Benchmarks
A Sikarwar, A Patel, N Goyal
EMNLP, 2022
132022
Evaluating In-Context Learning of Libraries for Code Generation
A Patel, S Reddy, D Bahdanau, P Dasigi
NAACL, 2024
92024
Universal adversarial triggers are not universal
N Meade, A Patel, S Reddy
arXiv preprint arXiv:2404.16020, 2024
52024
MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations
A Patel, S Bhattamishra, S Reddy, D Bahdanau
EMNLP, 2023
42023
Humanity's Last Exam
L Phan, A Gatti, Z Han, N Li, J Hu, H Zhang, S Shi, M Choi, A Agrawal, ...
arXiv preprint arXiv:2501.14249, 2025
22025
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
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