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ORCIDJerry Huang
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2020 – today
- 2025
[c6]Jerry Huang:
How Well Can a Long Sequence Model Model Long Sequences? Comparing Architectural Inductive Biases on Long-Context Abilities. COLING 2025: 29-39- [i13]Qiuhao Zeng, Jerry Huang, Peng Lu, Gezheng Xu, Boxing Chen, Charles Ling, Boyu Wang:
ZETA: Leveraging Z-order Curves for Efficient Top-k Attention. CoRR abs/2501.14577 (2025) - [i12]Gabriele Prato, Jerry Huang, Prasannna Parthasarathi, Shagun Sodhani, Sarath Chandar:
Do Large Language Models Know How Much They Know? CoRR abs/2502.19573 (2025) - 2024
- [j2]Pranshu Malviya, Gonçalo Mordido, Aristide Baratin, Reza Babanezhad Harikandeh, Jerry Huang, Simon Lacoste-Julien, Razvan Pascanu, Sarath Chandar:
Promoting Exploration in Memory-Augmented Adam using Critical Momenta. Trans. Mach. Learn. Res. 2024 (2024) - [c5]Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh, Sarath Chandar:
Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models. EMNLP 2024: 5817-5830 - [c4]Gabriele Prato, Jerry Huang, Prasanna Parthasarathi, Shagun Sodhani, Sarath Chandar:
Do Large Language Models Know How Much They Know? EMNLP 2024: 6054-6070 - [c3]Bo Sun, Jerry Huang, Nicolas Christianson, Mohammad Hajiesmaili, Adam Wierman, Raouf Boutaba:
Online Algorithms with Uncertainty-Quantified Predictions. ICML 2024 - [i11]Jerry Huang
, Prasanna Parthasarathi, Mehdi Rezagholizadeh, Sarath Chandar:
Towards Practical Tool Usage for Continually Learning LLMs. CoRR abs/2404.09339 (2024) - [i10]Pranshu Malviya, Jerry Huang, Quentin Fournier, Sarath Chandar:
Predicting the Impact of Model Expansion through the Minima Manifold: A Loss Landscape Perspective. CoRR abs/2405.15895 (2024) - [i9]Jerry Huang:
How Well Can a Long Sequence Model Model Long Sequences? Comparing Architechtural Inductive Biases on Long-Context Abilities. CoRR abs/2407.08112 (2024) - [i8]Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh, Sarath Chandar:
Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models. CoRR abs/2408.08470 (2024) - [i7]Jerry Huang, Laura Lewis, Hsin-Yuan Huang, John Preskill:
Predicting adaptively chosen observables in quantum systems. CoRR abs/2410.15501 (2024) - [i6]Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh, Boxing Chen, Sarath Chandar:
Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination. CoRR abs/2410.17477 (2024) - 2023
- [c2]Gabriele Prato, Jerry Huang, Prasanna Parthasarathi, Shagun Sodhani, Sarath Chandar:
EpiK-Eval: Evaluation for Language Models as Epistemic Models. EMNLP 2023: 9523-9557 - [i5]Pranshu Malviya, Gonçalo Mordido, Aristide Baratin, Reza Babanezhad Harikandeh, Jerry Huang, Simon Lacoste-Julien, Razvan Pascanu, Sarath Chandar:
Promoting Exploration in Memory-Augmented Adam using Critical Momenta. CoRR abs/2307.09638 (2023) - [i4]Bo Sun, Jerry Huang, Nicolas Christianson, Mohammad Hajiesmaili, Adam Wierman:
Online Algorithms with Uncertainty-Quantified Predictions. CoRR abs/2310.11558 (2023) - [i3]Gabriele Prato, Jerry Huang, Prasanna Parthasarathi, Shagun Sodhani, Sarath Chandar:
EpiK-Eval: Evaluation for Language Models as Epistemic Models. CoRR abs/2310.15372 (2023) - 2021
- [c1]Jerry Huang, Joshua Jung, Neil Budnarain, Benn McGregor, Jesse Hoey:
Trust-ya: design of a multiplayer game for the study of small group processes. CoG 2021: 1-4 - [i2]Jerry Huang, Joshua Jung, Neil Budnarain, Benn McGregor, Jesse Hoey:
Trust-ya: design of a multiplayer game for the study of small group processes. CoRR abs/2109.04037 (2021) - 2020
- [j1]Alizée Gagnon, Alexander Hassler, Jerry Huang, Aaron Krim-Yee, Fionn Mc Inerney, Andrés Zacarías, Ben Seamone, Virgélot Virgile:
A method for eternally dominating strong grids. Discret. Math. Theor. Comput. Sci. 22(1) (2020) - [i1]Alizée Gagnon, Alexander Hassler, Jerry Huang, Aaron Krim-Yee, Fionn Mc Inerney, Andrés Zacarías, Ben Seamone, Virgélot Virgile:
A method for eternally dominating strong grids. CoRR abs/2003.01495 (2020)
Coauthor Index
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