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Yuhang Lai
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2020 – today
- 2024
- [c3]Yuhang Lai, Siyuan Wang, Shujun Liu, Xuanjing Huang, Zhongyu Wei:
ALaRM: Align Language Models via Hierarchical Rewards Modeling. ACL (Findings) 2024: 7817-7831 - [c2]Hongjin Su, Shuyang Jiang, Yuhang Lai, Haoyuan Wu, Boao Shi, Che Liu, Qian Liu, Tao Yu:
EvoR: Evolving Retrieval for Code Generation. EMNLP (Findings) 2024: 2538-2554 - [i4]Hongjin Su, Shuyang Jiang, Yuhang Lai, Haoyuan Wu, Boao Shi, Che Liu, Qian Liu, Tao Yu:
ARKS: Active Retrieval in Knowledge Soup for Code Generation. CoRR abs/2402.12317 (2024) - [i3]Yuhang Lai, Siyuan Wang, Shujun Liu, Xuanjing Huang, Zhongyu Wei:
ALaRM: Align Language Models via Hierarchical Rewards Modeling. CoRR abs/2403.06754 (2024) - [i2]Shujun Liu, Xiaoyu Shen, Yuhang Lai, Siyuan Wang, Shengbin Yue, Zengfeng Huang, Xuanjing Huang, Zhongyu Wei:
HAF-RM: A Hybrid Alignment Framework for Reward Model Training. CoRR abs/2407.04185 (2024) - 2023
- [c1]Yuhang Lai, Chengxi Li, Yiming Wang, Tianyi Zhang, Ruiqi Zhong, Luke Zettlemoyer, Wen-Tau Yih, Daniel Fried, Sida I. Wang, Tao Yu:
DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation. ICML 2023: 18319-18345 - 2022
- [i1]Yuhang Lai, Chengxi Li, Yiming Wang, Tianyi Zhang, Ruiqi Zhong, Luke Zettlemoyer, Scott Wen-tau Yih, Daniel Fried, Sida I. Wang, Tao Yu:
DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation. CoRR abs/2211.11501 (2022)
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