Publications d'Jerry Huang
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Jerry Huang
Domaines de recherche: Apprentissage profond, Traitement du langage naturel
Activité
- Étudiant au doctorat: sept. 2023 - maintenant
- Étudiant à la maitrise: sept. 2022 - sept. 2023
- Stagiaire: mai 2022 - sept. 2022
Prépublications
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Predicting the Impact of Model Expansion through the Minima Manifold: A Loss Landscape Perspective
Pranshu Malviya, Jerry Huang, Quentin Fournier et Sarath Chandar
In ArXiv, 2024.
#DL
[arXiv]
Articles de conférence et de revue
2024
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Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models
Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh et Sarath Chandar
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.
#NLP
[acl], [arXiv] -
Do Large Language Models Know How Much They Know?
Gabriele Prato, Jerry Huang, Prasanna Parthasarathi, Shagun Sodhani et Sarath Chandar
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.
#NLP
[acl] -
Promoting Exploration in Memory-Augmented Adam using Critical Momenta
Pranshu Malviya, Gonçalo Mordido, Aristide Baratin, Reza Babanezhad Harikandeh, Jerry Huang, Simon Lacoste-Julien, Razvan Pascanu et Sarath Chandar
Transactions on Machine Learning Research (TMLR), 2024.
#DL
[openreview], [arXiv]
2023
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EpiK-Eval: Evaluation for Language Models as Epistemic Models
Gabriele Prato, Jerry Huang, Prasanna Parthasarathi, Shagun Sodhani et Sarath Chandar
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023.
#NLP
[acl], [openreview], [arXiv], [code]