Hugh Zhang

According to our database, Hugh Zhang authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet.

Nathaniel Li, Ziwen Han, Ian Steneker, Willow Primack, Riley Goodside, Hugh Zhang, Zifan Wang, Cristina Menghini, Summer Yue

CoRR, 2024

Learning Goal-Conditioned Representations for Language Reward Models.

Vaskar Nath, Dylan Slack, Jeff Da, Yuntao Ma, Hugh Zhang, Spencer Whitehead, Sean Hendryx

CoRR, 2024

NATURAL PLAN: Benchmarking LLMs on Natural Language Planning.

Huaixiu Steven Zheng, Swaroop Mishra, Hugh Zhang, Xinyun Chen, Minmin Chen, Azade Nova, Le Hou, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi, Denny Zhou

CoRR, 2024

A Careful Examination of Large Language Model Performance on Grade School Arithmetic.

Hugh Zhang, Jeff Da, Dean Lee, Vaughn Robinson, Catherine Wu, Will Song, Tiffany Zhao, Pranav Raja, Dylan Slack, Qin Lyu, Sean Hendryx, Russell Kaplan, Michele Lunati, Summer Yue

CoRR, 2024

Easy as ABCs: Unifying Boltzmann Q-Learning and Counterfactual Regret Minimization.

Luca D'Amico-Wong, Hugh Zhang, Marc Lanctot, David C. Parkes

CoRR, 2024

Q-Probe: A Lightweight Approach to Reward Maximization for Language Models.

Kenneth Li, Samy Jelassi, Hugh Zhang, Sham M. Kakade, Martin Wattenberg, David Brandfonbrener

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Chain-of-Thought Reasoning is a Policy Improvement Operator.

Hugh Zhang, David C. Parkes

CoRR, 2023

No-regret Learning Dynamics for Sequential Correlated Equilibria.

Hugh Zhang

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

A Simple Adaptive Procedure Converging to Forgiving Correlated Equilibria.

Hugh Zhang

CoRR, 2022

Equilibrium Finding in Normal-Form Games via Greedy Regret Minimization.

Hugh Zhang, Adam Lerer, Noam Brown

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Trading Off Diversity and Quality in Natural Language Generation.

Hugh Zhang, Daniel Duckworth, Daphne Ippolito, Arvind Neelakantan

CoRR, 2020

2019

Unifying Human and Statistical Evaluation for Natural Language Generation.

Tatsunori B. Hashimoto, Hugh Zhang, Percy Liang

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019