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ORCIDHugh Zhang
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2020 – today
- 2024
[c4]Kenneth Li, Samy Jelassi, Hugh Zhang, Sham M. Kakade, Martin Wattenberg, David Brandfonbrener:
Q-Probe: A Lightweight Approach to Reward Maximization for Language Models. ICML 2024- [i12]Luca D'Amico-Wong, Hugh Zhang, Marc Lanctot, David C. Parkes:
Easy as ABCs: Unifying Boltzmann Q-Learning and Counterfactual Regret Minimization. CoRR abs/2402.11835 (2024) - [i11]Kenneth Li, Samy Jelassi, Hugh Zhang, Sham M. Kakade, Martin Wattenberg, David Brandfonbrener:
Q-Probe: A Lightweight Approach to Reward Maximization for Language Models. CoRR abs/2402.14688 (2024) - [i10]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:
A Careful Examination of Large Language Model Performance on Grade School Arithmetic. CoRR abs/2405.00332 (2024) - [i9]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:
NATURAL PLAN: Benchmarking LLMs on Natural Language Planning. CoRR abs/2406.04520 (2024) - [i8]Vaskar Nath, Dylan Slack, Jeff Da, Yuntao Ma, Hugh Zhang, Spencer Whitehead, Sean Hendryx:
Learning Goal-Conditioned Representations for Language Reward Models. CoRR abs/2407.13887 (2024) - [i7]Nathaniel Li, Ziwen Han, Ian Steneker, Willow Primack, Riley Goodside, Hugh Zhang, Zifan Wang, Cristina Menghini, Summer Yue:
LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet. CoRR abs/2408.15221 (2024) - [i6]Evan Wang, Federico Cassano, Catherine Wu, Yunfeng Bai, Will Song, Vaskar Nath, Ziwen Han, Sean Hendryx, Summer Yue, Hugh Zhang:
Planning In Natural Language Improves LLM Search For Code Generation. CoRR abs/2409.03733 (2024) - 2023
- [c3]Hugh Zhang:
No-regret Learning Dynamics for Sequential Correlated Equilibria. AAMAS 2023: 2700-2702 - [i5]Hugh Zhang, David C. Parkes:
Chain-of-Thought Reasoning is a Policy Improvement Operator. CoRR abs/2309.08589 (2023) - 2022
- [c2]Hugh Zhang, Adam Lerer, Noam Brown:
Equilibrium Finding in Normal-Form Games via Greedy Regret Minimization. AAAI 2022: 9484-9492 - [i4]Hugh Zhang, Adam Lerer, Noam Brown:
Equilibrium Finding in Normal-Form Games Via Greedy Regret Minimization. CoRR abs/2204.04826 (2022) - [i3]Hugh Zhang:
A Simple Adaptive Procedure Converging to Forgiving Correlated Equilibria. CoRR abs/2207.06548 (2022) - 2020
- [i2]Hugh Zhang, Daniel Duckworth, Daphne Ippolito, Arvind Neelakantan:
Trading Off Diversity and Quality in Natural Language Generation. CoRR abs/2004.10450 (2020)
2010 – 2019
- 2019
- [c1]Tatsunori B. Hashimoto, Hugh Zhang, Percy Liang:
Unifying Human and Statistical Evaluation for Natural Language Generation. NAACL-HLT (1) 2019: 1689-1701 - [i1]Tatsunori B. Hashimoto, Hugh Zhang, Percy Liang:
Unifying Human and Statistical Evaluation for Natural Language Generation. CoRR abs/1904.02792 (2019)
Coauthor Index
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