2026

Learning to Follow In-Context Watermark Instructions via Self-Distillation

Yepeng Liu, Tianyi Chen, Xuandong Zhao, Dawn Song, Yuheng Bu

arXiv 2026

[paper][code]

Figures as Programs: Recursive Generation of Editable Scientific Figures

Yepeng Liu, Dasen Dai, Chengzhi Liu, Yiren Song, Hai Ci, Yu Zhang, Qi Zhang, Mike Zheng Shou, Xin Eric Wang, Yuheng Bu

arXiv 2026

[paper][code]

ConvexBench: Can LLMs Recognize Convex Functions?

Yepeng Liu, Yu Huang, Yu-Xiang Wang, Yingbin Liang, Yuheng Bu

ICML 2026

[paper][code]

2025

In-Context Watermarks for Large Language Models

Yepeng Liu, Xuandong Zhao, Christopher Kruegel, Dawn Song, Yuheng Bu

ICLR 2026

[paper][code]

Image Watermarks are Removable Using Controllable Regeneration from Clean Noise

Yepeng Liu, Yiren Song, Hai Ci, Yu Zhang, Haofan Wang, Mike Zheng Shou, Yuheng Bu

ICLR 2025

[paper][code]

Theoretically Grounded Framework for LLM Watermarking: A Distribution-Adaptive Approach

Haiyun He*, Yepeng Liu*, Ziqiao Wang, Yongyi Mao, Yuheng Bu

NeurIPS 2025

[paper][code]

Dataset Protection via Watermarked Canaries in Retrieval-Augmented LLMs

Yepeng Liu, Xuandong Zhao, Dawn Song, Yuheng Bu

EMNLP Findings 2026

[paper][code]

Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption

Yepeng Liu, Xuandong Zhao, Dawn Song, Gregory W. Wornell, Yuheng Bu

ACL Findings 2026

[paper]

2024