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2020 – today
- 2024
[c4]Kaixin Li, Qisheng Hu, James Xu Zhao, Hui Chen, Yuxi Xie, Tiedong Liu, Michael Shieh, Junxian He:
InstructCoder: Instruction Tuning Large Language Models for Code Editing. ACL (Student Research Workshop) 2024: 50-70- [c3]Do Xuan Long, Yiran Zhao, Hannah Brown, Yuxi Xie, James Xu Zhao, Nancy F. Chen, Kenji Kawaguchi, Michael Shieh, Junxian He:
Prompt Optimization via Adversarial In-Context Learning. ACL (1) 2024: 7308-7327 - [c2]Hongfu Liu, Yuxi Xie, Ye Wang, Michael Shieh:
Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models. EMNLP 2024: 7213-7224 - [c1]Esther Gan, Yiran Zhao, Liying Cheng, Yancan Mao, Anirudh Goyal, Kenji Kawaguchi, Min-Yen Kan, Michael Shieh:
Reasoning Robustness of LLMs to Adversarial Typographical Errors. EMNLP 2024: 10449-10459 - [i6]Yiran Zhao, Wenyue Zheng, Tianle Cai, Xuan Long Do, Kenji Kawaguchi, Anirudh Goyal, Michael Shieh:
Accelerating Greedy Coordinate Gradient via Probe Sampling. CoRR abs/2403.01251 (2024) - [i5]Yuxi Xie, Anirudh Goyal, Wenyue Zheng, Min-Yen Kan, Timothy P. Lillicrap, Kenji Kawaguchi, Michael Shieh:
Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning. CoRR abs/2405.00451 (2024) - [i4]Leon Lin, Hannah Brown, Kenji Kawaguchi, Michael Shieh:
Single Character Perturbations Break LLM Alignment. CoRR abs/2407.03232 (2024) - [i3]Hannah Brown, Leon Lin, Kenji Kawaguchi, Michael Shieh:
Self-Evaluation as a Defense Against Adversarial Attacks on LLMs. CoRR abs/2407.03234 (2024) - [i2]Xiangyan Liu, Bo Lan, Zhiyuan Hu, Yang Liu, Zhicheng Zhang, Fei Wang, Michael Shieh, Wenmeng Zhou:
CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph Databases. CoRR abs/2408.03910 (2024) - [i1]Hongfu Liu, Yuxi Xie, Ye Wang, Michael Shieh:
Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models. CoRR abs/2408.14866 (2024)
Coauthor Index
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