Han Wang
Hi! I am a second-year Ph.D. student at University of North Carolina at Chapel Hill, supervised by Prof. Mohit Bansal.
I’ve spent time at Amazon (worked with Rinat Khaziev), NLC Group in Microsoft Research Asia (worked with Lei Cui), Microsoft Cognitive Services Research Group (worked with Chenguang Zhu and Yang Liu), and Westlake University (worked with Prof. Yue Zhang). Previously, I received my master’s degree from New York University and bachelor’s degree from Tongji University.
My research interests include making large language models more robust, efficient, and reliable, evaluating and improving LLMs’ capabilities, and knowledge-enhanced NLP. I always favor and pursue the methods that are simple, intuitive, and effective. I am open to academic collaborations and please drop me an email if you are interested in collaborating with me.
Service
- PC Member / Reviewer: ACL (2020-2024), EMNLP (2021-2023), NAACL (2024), COLM (2024), ICLR (2024), NeurIPS (2023-2024), AAAI (2023-2024), COLING (2020, 2022, 2024), ACL Rolling Review (2021 - Present)
news
| Sep 11, 2024 | New preprint! AdaCAD is a simple yet effective dynamic decoding method to automatically balance the contrast between contextual and parametric knowledge. |
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| May 15, 2024 | Our paper Soft-SC has been accepted to ACL 2024! |
| Feb 20, 2024 | New preprint! Soft-SC improves both performance & efficiency over Self-Consistency on several interactive tasks by relaxing exact match to likelihood-based scores. |
| Mar 30, 2023 | I will start my Ph.D study at the University of North Carolina at Chapel Hill under the supervision of Prof. Mohit Bansal this fall. Look forward to the new journey! 😉 |
| Apr 7, 2022 | One paper has been accepted to NAACL 2022! |