Research
* denotes equal contribution.
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ALGO: Synthesizing Algorithmic Programs with Generated Oracle Verifiers
Kexun Zhang, Danqing Wang, Jingtao Xia, William Yang Wang, Lei Li
NeurIPS, 2023
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Invisible Image Watermarks Are Provably Removable Using Generative AI
Xuandong Zhao*, Kexun Zhang*, Zihao Su, Saastha Vasan, Ilya Grishchenko, Christopher Kruegel, Giovanni Vigna, Yu-Xiang Wang, Lei Li
ICML Workshop on Challenges in Deploying Generative AI, 2023
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Large Language Models Are Partially Primed in Pronoun Interpretation
Suet-Ying Lam*, Qingcheng Zeng*, Kexun Zhang*, Chenyu You, Rob Voigt
Findings of ACL, 2023
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ReDi: Trajectory Retrieval for Learning-Free Efficient Diffusion Inference
Kexun Zhang, Xianjun Yang, William Yang Wang, Lei Li
ICML, 2023
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A Study of Syntactic Multi-Modality in Non-Autoregressive Machine Translation
Kexun Zhang, Rui Wang, Xu Tan, Junliang Guo, Yi Ren, Tao Qin, Tie-Yan Liu
NAACL, 2022
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Focus on the Action: Learning to Highlight and Summarize Jointly for Email To-Do Items Summarization
Kexun Zhang, Jiaao Chen, Diyi Yang
Findings of ACL, 2022
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WSRGlow: A Glow-based Waveform Generative Model for Audio Super-Resolution
Kexun Zhang, Yi Ren, Changliang Xu, Zhou Zhao
Interspeech, 2021
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Employed generative flow model on the speech super-resolution task, achieved state-of-the-art performance. Nominated for the Best Student Paper Award.
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Projects
These include coursework and side projects. (Site construction in progress)
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