A method for eternally dominating strong grids. - Alizée Gagnon; Alexander Hassler; Jerry Huang; Aaron Krim-Yee; Fionn Mc Inerney; Andrés Zacarías; Ben Seamone; Virgélot Virgile (Discret. Math. Theor. Comput. Sci., 2020)

Trust-ya: design of a multiplayer game for the study of small group processes. - Jerry Huang; Joshua Jung; Neil Budnarain; Benn McGregor; Jesse Hoey (CoG, 2021)

EpiK-Eval: Evaluation for Language Models as Epistemic Models. - Gabriele Prato 001; Jerry Huang; Prasanna Parthasarathi; Shagun Sodhani; Sarath Chandar (EMNLP, 2023)

Online Algorithms with Uncertainty-Quantified Predictions. - Bo Sun 004; Jerry Huang; Nicolas Christianson; Mohammad Hajiesmaili; Adam Wierman (CoRR, 2023)

Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models. - Jerry Huang; Prasanna Parthasarathi; Mehdi Rezagholizadeh; Sarath Chandar (EMNLP, 2024)

Do Large Language Models Know How Much They Know? - Gabriele Prato 001; Jerry Huang; Prasanna Parthasarathi; Shagun Sodhani; Sarath Chandar (EMNLP, 2024)

Online Algorithms with Uncertainty-Quantified Predictions. - Bo Sun 004; Jerry Huang; Nicolas Christianson; Mohammad Hajiesmaili; Adam Wierman; Raouf Boutaba (ICML, 2024)

Examining the relationship between the L2 motivational self system and technology acceptance model post ChatGPT introduction and utilization. - Jerry Huang; Atsushi Mizumoto (Comput. Educ. Artif. Intell., 2024)

Towards Practical Tool Usage for Continually Learning LLMs. - Jerry Huang; Prasanna Parthasarathi; Mehdi Rezagholizadeh; Sarath Chandar (CoRR, 2024)

Predicting the Impact of Model Expansion through the Minima Manifold: A Loss Landscape Perspective. - Pranshu Malviya; Jerry Huang; Quentin Fournier; Sarath Chandar (CoRR, 2024)

How Well Can a Long Sequence Model Model Long Sequences? Comparing Architechtural Inductive Biases on Long-Context Abilities. - Jerry Huang (CoRR, 2024)

Predicting adaptively chosen observables in quantum systems. - Jerry Huang; Laura Lewis; Hsin-Yuan Huang; John Preskill (CoRR, 2024)

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; Sarath Chandar (Trans. Mach. Learn. Res., 2024)

Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination. - Jerry Huang; Prasanna Parthasarathi; Mehdi Rezagholizadeh; Boxing Chen; Sarath Chandar (ACL (Findings), 2025)

How Well Can a Long Sequence Model Model Long Sequences? Comparing Architectural Inductive Biases on Long-Context Abilities. - Jerry Huang (COLING, 2025)

ZETA: Leveraging Z-order Curves for Efficient Top-k Attention. - Qiuhao Zeng; Jerry Huang; Peng Lu; Gezheng Xu; Boxing Chen; Charles Ling 001; Boyu Wang 004 (ICLR, 2025)

SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language Models. - Margaret Mitchell; Giuseppe Attanasio; Ioana Baldini; Miruna Clinciu; Jordan Clive; Pieter Delobelle; Manan Dey; Sil Hamilton; Timm Dill; Jad Doughman; Ritam Dutt; Avijit Ghosh; et al. (NAACL (Long Papers), 2025)

Do Large Language Models Know How Much They Know? - Gabriele Prato 001; Jerry Huang; Prasannna Parthasarathi; Shagun Sodhani; Sarath Chandar (CoRR, 2025)

RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning. - Jerry Huang; Siddarth Madala; Risham Sidhu; Cheng Niu; Julia Hockenmaier; Tong Zhang 001 (CoRR, 2025)

Resona: Improving Context Copying in Linear Recurrence Models with Retrieval. - Xinyu Wang; Linrui Ma; Jerry Huang; Peng Lu; Prasanna Parthasarathi; Xiao-Wen Chang; Boxing Chen; Yufei Cui (CoRR, 2025)

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering. - Xinyu Wang; Jijun Chi; Zhenghan Tai; Tung Sum Thomas Kwok; Muzhi Li; Zhuhong Li; Hailin He; Yuchen Hua; Peng Lu; Suyuchen Wang; Yihong Wu; Jerry Huang; et al. (CoRR, 2025)

The effects of generative AI usage in EFL classrooms on the l2 motivational self system. - Jerry Huang; Atsushi Mizumoto (Educ. Inf. Technol., 2025)

A Novel Zero-Trust Identity Framework for Agentic AI: Decentralized Authentication and Fine-Grained Access Control. - Ken Huang; Vineeth Sai Narajala; John Yeoh; Jason Ross; Ramesh Raskar; Youssef Harkati; Jerry Huang; Idan Habler; Chris Hughes (CoRR, 2025)

MultiFinBen: A Multilingual, Multimodal, and Difficulty-Aware Benchmark for Financial LLM Evaluation. - Xueqing Peng; Lingfei Qian; Yan Wang; Ruoyu Xiang; Yueru He; Yang Ren; Mingyang Jiang; Jeff Zhao; Huan He; Yi Han; Yun Feng; Yuechen Jiang; et al. (CoRR, 2025)

GUIDE: Towards Scalable Advising for Research Ideas. - Yaowenqi Liu; BingXu Meng; Rui Pan; Jerry Huang; Tong Zhang (CoRR, 2025)

PoTPTQ: A Two-step Power-of-Two Post-training for LLMs. - Xinyu Wang; Vahid Partovi Nia; Peng Lu; Jerry Huang; Xiao-Wen Chang; Boxing Chen; Yufei Cui (CoRR, 2025)

Calibrated Language Models and How to Find Them with Label Smoothing. - Jerry Huang; Peng Lu; Qiuhao Zeng (CoRR, 2025)

Parity Requires Unified Input Dependence and Negative Eigenvalues in SSMs. - Behnoush Khavari; Mehran Shakerinava; Jayesh Khullar; Jerry Huang; François Rivest; Siamak Ravanbakhsh; Sarath Chandar (CoRR, 2025)

Fortifying the Agentic Web: A Unified Zero-Trust Architecture Against Logic-layer Threats. - Ken Huang; Yasir Mehmood 001; Hammad Atta; Jerry Huang; Muhammad Zeeshan Baig; Sree Bhargavi Balija (CoRR, 2025)