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George Pu
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2020 – today
- 2024
- [i6]Yung-Chieh Chan, George Pu, Apaar Shanker, Parth Suresh, Penn Jenks, John Heyer, Sam Denton:
Balancing Cost and Effectiveness of Synthetic Data Generation Strategies for LLMs. CoRR abs/2409.19759 (2024) - 2023
- [c3]Yixin Wan, George Pu, Jiao Sun, Aparna Garimella, Kai-Wei Chang, Nanyun Peng:
"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters. EMNLP (Findings) 2023: 3730-3748 - [i5]George Pu, Anirudh Jain, Jihan Yin, Russell Kaplan:
Empirical Analysis of the Strengths and Weaknesses of PEFT Techniques for LLMs. CoRR abs/2304.14999 (2023) - [i4]Yixin Wan, George Pu, Jiao Sun, Aparna Garimella, Kai-Wei Chang, Nanyun Peng:
"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters. CoRR abs/2310.09219 (2023) - 2021
- [c2]George Pu, Paul Wei, Amanda Aribe, James Boultinghouse, Nhi Dinh, Fang Xu
, Eric Jing Du:
Seeing Through Walls: Real-Time Digital Twin Modeling of Indoor Spaces. WSC 2021: 1-10 - [i3]George Pu, Yanlin Zhou, Dapeng Wu, Xiaolin Li:
Server Averaging for Federated Learning. CoRR abs/2103.11619 (2021) - 2020
- [i2]Yanlin Zhou
, George Pu, Xiyao Ma, Xiaolin Li, Dapeng Wu:
Distilled One-Shot Federated Learning. CoRR abs/2009.07999 (2020)
2010 – 2019
- 2019
- [c1]Yanlin Zhou, Fan Lu, George Pu, Xiyao Ma, Runhan Sun, Hsi-Yuan Chen, Xiaolin Li:
Adaptive Leader-Follower Formation Control and Obstacle Avoidance via Deep Reinforcement Learning. IROS 2019: 4273-4280 - [i1]Yanlin Zhou
, Fan Lu, George Pu, Xiyao Ma, Runhan Sun, Hsi-Yuan Chen, Xiaolin Andy Li, Dapeng Wu:
Adaptive Leader-Follower Formation Control and Obstacle Avoidance via Deep Reinforcement Learning. CoRR abs/1911.06882 (2019)
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