Baizhou Huang

According to our database, Baizhou Huang authored at least 13 papers between 2023 and 2025.

Collaborative distances:

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

2025

Enhancing LLM Watermark Resilience Against Both Scrubbing and Spoofing Attacks.

Huanming Shen, Baizhou Huang, Xiaojun Wan

CoRR, July, 2025

Generative Evaluation of Complex Reasoning in Large Language Models.

Haowei Lin, Xiangyu Wang, Ruilin Yan, Baizhou Huang, Haotian Ye, Jianhua Zhu, Zihao Wang, James Zou, Jianzhu Ma, Yitao Liang

CoRR, April, 2025

WaterPool: A Language Model Watermark Mitigating Trade-Offs among Imperceptibility, Efficacy and Robustness.

Baizhou Huang, Xiaojun Wan

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

B⁴: A Black-Box Scrubbing Attack on LLM Watermarks.

Baizhou Huang, Xiao Pu, Xiaojun Wan

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

TriEmbed: Bridge the Gap between Text and Token Indices with Embedding Reparameterization.

Baizhou Huang, Xiaojun Wan

Proceedings of the Findings of the Association for Computational Linguistics, 2025

MC-MKE: A Fine-Grained Multimodal Knowledge Editing Benchmark Emphasizing Modality Consistency.

Junzhe Zhang, Huixuan Zhang, Xunjian Yin, Baizhou Huang, Xu Zhang, Xinyu Hu, Xiaojun Wan

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

B⁴: A Black-Box Scrubbing Attack on LLM Watermarks.

Baizhou Huang, Xiao Pu, Xiaojun Wan

CoRR, 2024

WaterPool: A Watermark Mitigating Trade-offs among Imperceptibility, Efficacy and Robustness.

Baizhou Huang, Xiaojun Wan

CoRR, 2024

Selecting Large Language Model to Fine-tune via Rectified Scaling Law.

Haowei Lin, Baizhou Huang, Haotian Ye, Qinyu Chen, Zihao Wang, Sujian Li, Jianzhu Ma, Xiaojun Wan, James Zou, Yitao Liang

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

Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency.

Baizhou Huang, Shuai Lu, Xiaojun Wan, Nan Duan

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency.

Baizhou Huang, Shuai Lu, Weizhu Chen, Xiaojun Wan, Nan Duan

CoRR, 2023

CrossDial: An Entertaining Dialogue Dataset of Chinese Crosstalk.

Baizhou Huang, Shikang Du, Xiaojun Wan

Proceedings of the Natural Language Processing and Chinese Computing, 2023

ALCUNA: Large Language Models Meet New Knowledge.

Xunjian Yin, Baizhou Huang, Xiaojun Wan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023