Publications by Jerry Huang

Jerry Huang

Research Areas: Deep Learning, Natural Language Processing
(Fast Tracked from Masters)

Activity

Mamba Modulation: On the Length Generalization of Mamba
Peng Lu*, Jerry Huang*, Qiuhao Zeng, Xinyu Wang, Boxing Wang, Philippe Langlais, and Yufei Cui
Conference on Neural Information Processing Systems (NeurIPS), 2025.
#NLP, #RL
[arXiv]
Resona: Improving Context Copying in Linear Recurrence Models with Retrieval
Jerry Huang*, Linrui Ma*, Xinyu Wang*, Peng Lu, Prasanna Parthasarathi, Xiao-Wen Chang, Boxing Chen, and Yufei Cui
Conference on Language Modeling (COLM), 2025.
#NLP, #DL
[openreview], [arXiv]
Manifold Metric: A Loss Landscape Approach for Predicting Model Performance
Pranshu Malviya, Jerry Huang, Ariside Baratin, Quentin Fournier, and 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, and Sarath Chandar
Findings of the Association for Computational Linguistics (ACL), 2025.
#NLP
[acl], [arXiv]
Calibrated Language Models and How to Find Them with Label Smoothing
Jerry Huang*, Peng Lu*, and Qiuhao Zeng
International Conference on Machine Learning, 2025.
#NLP
[openreview], [arXiv]

Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models
Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh, and 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, and Sarath Chandar
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.
#NLP
[acl], [arXiv]
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, and Sarath Chandar
Transactions on Machine Learning Research (TMLR), 2024.
#DL
[openreview], [arXiv]

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