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
Articles de conférence et de revue
2025
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Predicting the Impact of Model Expansion through the Minima Manifold: A Loss Landscape Perspective
Pranshu Malviya, Jerry Huang, Ariside Baratin, Quentin Fournier et Sarath Chandar
Conference on Lifelong Learning Agents (CoLLAs), 2025.
#DL
[arXiv] -
Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination
Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh, Boxing Chen et Sarath Chandar
Findings of the Association for Computational Linguistics (ACL), 2025.
#NLP
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]