• Picture of Jerry Huang

    Research Areas: Deep Learning, Natural Language Processing

Activity

  • PhD Student: Sep 2023 - now
  • Master's Student: Sep 2022 - Sep 2023
  • Intern: May 2022 - Sep 2022

Preprints

Conference and Journal Papers

2024

  1. Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models
    , Prasanna Parthasarathi, Mehdi Rezagholizadeh, and
    Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.
    #NLP
    [acl], [arXiv]

  2. Do Large Language Models Know How Much They Know?
    , , Prasanna Parthasarathi, Shagun Sodhani, and
    Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.
    #NLP
    [acl]

  3. Promoting Exploration in Memory-Augmented Adam using Critical Momenta
    , , Aristide Baratin, Reza Babanezhad Harikandeh, , Simon Lacoste-Julien, Razvan Pascanu, and
    Transactions on Machine Learning Research (TMLR), 2024.
    #DL
    [openreview], [arXiv]

2023

  1. EpiK-Eval: Evaluation for Language Models as Epistemic Models
    , , Prasanna Parthasarathi, Shagun Sodhani, and
    Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023.
    #NLP
    [acl], [openreview], [arXiv], [code]