Haowei Lin(林昊苇)
E-mail: linhaowei (at) pku (dot) edu (dot) cn
I am currently embarking on my first year as a Ph.D. student at the Institute for Artificial Intelligence, Peking University, co-advised by Prof. Jianzhu Ma and Prof. Yitao Liang.
I received my Bachelor’s degree in Artificial Intelligence from Peking University, where I was fortunate to work with Prof. Bing Liu on OOD detection, continual learning, and NLP.
My primary research focus is in the field of machine learning, with a passionate commitment to developing advanced AI systems aimed at augmenting human capabilities in real-world scenarios. Currently, I am working on the development of AI-assisted drug design systems and open-world agents.
News
Mar 6, 2024 | I will present our new paper Selecting Large Language Model to Fine-tune via Rectified Scaling Law at ICLR 2024 in ME-FoMo workshop. This paper recieved surprisingly positive scores (8, 9, 9) and was selected as an oral presentation. See you in Vienna! |
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Jan 16, 2024 | Our paper on continual learning has been accepted at ICLR 2024! We propose a theoretically principled and empirically effective method for CL. Feel free to explore our code and paper. This research was conducted during my undergraduate studies under the guidance of Prof. Bing Liu. |
Oct 10, 2023 | One short paper on OOD Detection is accepted to EMNLP’23. |
Aug 8, 2023 | Talk on “Continual Learning of Language Models” at group seminar, Peking University. [slides] |
Feb 18, 2023 | Our paper studying the continual pre-training of LMs is accepted by ICLR 2023! An extensible PyTorch-based codebase for this task is also launched. (with more than 15 SoTA baselines) |
Publications
(*: Equal Contribution)
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation
In arxiv.
Selecting Large Language Model to Fine-tune via Rectified Scaling Law
In arxiv (will be an oral presentation in ME-FoMo 2024).
JARVIS-1: Open-world Multi-task Agents with Memory-Augmented Multimodal Language Models
In arxiv.
FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score
In EMNLP 2023.
Selected Awards
- Outstanding Reviewer, ICML2022.
- National Scholarship (top 1%), 2022.
- The First Prize of Peking University Scholarship (top 2%), 2020.
- Merit student pacesetter (top 2%), 2020.
- Huatai Science and Technology Scholarship, 2021.
- The First Prize of the 12th and 13th National College Students’ Mathematics Competition, 2020 & 2021.
- Morality Scholarship sponsored by Zhongying Tang, 2019-2023.