Hui Liu

Hui Liu (刘晖)

Email: huiliulayne@gmail.com

About Me

Hi! My name is Hui Liu. I am an Applied Scientist at Amazon Search. I obtained my Ph.D. degree from the Department of Electrical and Computer Engineering at Queen's University. Prior to that, I received my B.S. from the School of Electronics Engineering and Computer Science at Peking University in 2018.

Back in my third year of undergrad, when I was tinkering with SVMs for my first research project, I could never have imagined witnessing the shift in natural language processing from RNNs to Transformers. Now I feel fortunate to witness the impressive power of LLMs driving the new trends in NLP research. Recently, the question I think a lot is - what is reasoning?

** We are hiring interns! If you are interested in working with us, please feel free to reach out or email me with your resume.

News


Experience

Preprint

  1. Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data
    Juanhui Li, Sreyashi Nag, Hui Liu, Xianfeng Tang, Sheikh Sarwar, Limeng Cui, Hansu Gu, Suhang Wang, Qi He, Jiliang Tang
    Manuscript
    2. [paper]
  2. Divide-Verify-Refine: Aligning LLM Responses with Complex Instructions
    Xianren Zhang, Xianfeng Tang, Hui Liu, Zongyu Wu, Qi He, Dongwon Lee, Suhang Wang
    Manuscript
    3. [paper]
  3. SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains
    Ran Xu, Hui Liu, Sreyashi Nag, Zhenwei Dai, Yaochen Xie, Xianfeng Tang, Chen Luo, Yang Li, Joyce C Ho, Carl Yang, Qi He
    Manuscript
    4. [paper]
  4. Does your LLM truly unlearn? An embarrassingly simple approach to recover unlearned knowledge
    Zhiwei Zhang, Fali Wang, Xiaomin Li, Zongyu Wu, Xianfeng Tang, Hui Liu, Qi He, Wenpeng Yin, Suhang Wang
    Manuscript
    5. [paper]

Publications

  1. Exploring Query Understanding for Amazon Product Search
    Chen Luo, Xianfeng Tang, Hanqing Lu, Yaochen Xie, Hui Liu, Zhenwei Dai, Limeng Cui, Ashutosh Joshi, Sreyashi Nag, Yang Li, Zhen Li, Rahul Goutam, Jiliang Tang, Haiyang Zhang, Qi He
    IEEE BigData'24, full paper
    2. [paper]
  2. Knowledge-Selective Pretraining for Attribute Value Extraction
    Hui Liu, Qingyu Yin, Zhengyang Wang, Chenwei Zhang, Haoming Jiang, Yifan Gao, Zheng Li, Xian Li, Chao Zhang, Bing Yin, William Yang Wang, Xiaodan Zhu
    Findings of EMNLP 2023, long paper
    3. [paper]
  3. Interpretable Low-Resource Legal Decision Making
    Rohan Bhambhoria, Hui Liu, Samuel Dahan, Xiaodan Zhu
    AAAI 2022 AI for Social Impact Track, full paper
    4. [paper]
  4. Unsupervised Conversation Disentanglement through Co-Training
    Hui Liu, Zhan Shi, Xiaodan Zhu
    EMNLP 2021 main conference, long paper
    5. [paper] [code]
  5. Retrieval, Analogy, and Composition: A framework for Compositional Generalization in Image Captioning
    Zhan Shi, Hui Liu, Martin Renqiang Min, Christopher Malon, Li Erran Li and Xiaodan Zhu
    Findings of EMNLP 2021, long paper
    6. [paper] [code]
  6. Descriptive Image Captioning with Salient Retrieval Priors
    Zhan Shi, Hui Liu, Xiaodan Zhu
    Canadian Conference on Artificial Intelligence 2021, full paper
    7. [paper]
  7. Enhancing Descriptive Image Captioning with Natural Language Inference
    Zhan Shi, Hui Liu, Xiaodan Zhu
    ACL-IJCNLP 2021 main conference, short paper
    8. [paper] [code]
  8. Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots
    Jia-Chen Gu, Hui Liu, Zhen-Hua Ling, Quan Liu, Zhigang Chen, Xiaodan Zhu
    SIGIR 2021, full paper
    9. [paper] [code]
  9. Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning
    Hui Liu, Danqing Zhang, Bing Yin, Xiaodan Zhu
    NAACL-HLT 2021, long paper
    10. [paper] [code]
  10. Have You Made A Decision? Where? A Pilot Study on Interpretability of Polarity Analysis Based on Advising Problem
    Tianda Li, Jia-Chen Gu, Hui Liu, Quan Liu, Zhen-hua Ling, Zhiming Su, Xiaodan Zhu
    ICASSP 2021, full paper
    11. [paper] [code]
  11. End-to-End Transition-Based Online Dialogue Disentanglement
    Hui Liu, Zhan Shi, Jia-Chen Gu, Quan Liu, Si Wei, Xiaodan Zhu
    IJCAI 2020, full paper
    12. [paper] [code]
  12. Towards Explainable NLP: A Generative Explanation Framework for Text Classification
    Hui Liu, Qingyu Yin, William Yang Wang
    ACL 2019, long paper
    13. [paper] [code]
  13. QuoteRec: Toward Quote Recommendation for Writing
    Jiwei Tan, Xiaojun Wan, Hui Liu, Jianguo Xiao
    ACM Transactions on Information Systems (TOIS), 2018
    14. [paper]

Academic Services

Miscellaneous

Last updated: 11/2024