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?
News
- [2025.01] Two papers accepted to ICLR 2025! Thanks for our interns and collaborators!
- [2025.01] Three papers accepted to NAACL 2025! Thanks for our interns and collaborators!
- [2024.10] Our paper “Exploring Query Understanding for Amazon Product Search” is accepted to IEEE BigData'24.
Experience
-
2023.09 - present: Amazon Search
Applied Scientist II
-
2022.09 - 2022.12: Amazon Search Mission Understanding Team
Applied Scientist Intern
-
2020.07 - 2020.11: Amazon Search Query Understanding Team
Applied Scientist Intern
-
2018.01 - 2018.05: Lenovo AI Lab, Beijing
Research Intern
Academic Services
-
Area Chair: EMNLP (2024), NAACL (2025), ACL (2025)
-
Program Committee: ACL (2022-2024), EMNLP (2021-2024), NAACL (2024), EACL (2023), ICLR (2022-2025), NeurIPS (2022-2024), ICML (2023-2025), COLM (2024-2025), AAAI (2022-2024)
-
I am also a regular Area Chair for ACL Rolling Review.
Publication/Preprint
Preprint
-
How Far are LLMs from Real Search? A Comprehensive Study on Efficiency, Completeness, and Inherent Capabilities
Minhua Lin, Hui Liu, Xianfeng Tang, Jingying Zeng, Zhenwei Dai, Chen Luo, Zheng Li, Xiang Zhang, Qi He, Suhang Wang
Manuscript, 2025
-
A General Framework to Enhance Fine-tuning-based LLM Unlearning
Jie Ren, Zhenwei Dai, Xianfeng Tang, Hui Liu, Jingying Zeng, Zhen Li, Rahul Goutam, Suhang Wang, Yue Xing, Qi He
Manuscript, 2025
-
Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models
Yingqian Cui, Pengfei He, Jingying Zeng, Hui Liu, Xianfeng Tang, Zhenwei Dai, Yan Han, Chen Luo, Jing Huang, Zhen Li, Suhang Wang, Yue Xing, Jiliang Tang, Qi He
Manuscript, 2025
-
Divide-Verify-Refine: Aligning LLM Responses with Complex Instructions
Xianren Zhang, Xianfeng Tang, Hui Liu, Zongyu Wu, Qi He, Dongwon Lee, Suhang Wang
Manuscript, 2024
-
Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning
Haoyu Han, Yaochen Xie, Hui Liu, Xianfeng Tang, Sreyashi Nag, William Headden, Hui Liu, Yang Li, Chen Luo, Shuiwang Ji, Qi He, Jiliang Tang
Manuscript, 2024
-
A Survey of Calibration Process for Black-Box LLMs
Liangru Xie, Hui Liu, Jingying Zeng, Xianfeng Tang, Yan Han, Chen Luo, Jing Huang, Zhen Li, Suhang Wang, Qi He
Manuscript, 2024
2025
-
Catastrophic Failure of LLM Unlearning via Quantization
Zhiwei Zhang, Fali Wang, Xiaomin Li, Zongyu Wu, Xianfeng Tang, Hui Liu, Qi He, Wenpeng Yin, Suhang Wang
ICLR 2025
[code]
[Hacker News]
-
Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning
Tianci Liu, Ruirui Li, Haoyu Wang, Yunzhe Qi, Hui Liu, Xianfeng Tang, Tianqi Zheng, Qingyu Yin, Monica Cheng, Jun Huan, Jing Gao
ICLR 2025
-
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
NAACL 2025, long paper
-
Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective
Shenglai Zeng, Jiankun Zhang, Bingheng Li, Yuping Lin, Tianqi Zheng, Dante Everaert, Hanqing Lu, Hui Liu, Hui Liu, Yue Xing, Monica Xiao Cheng, Jiliang Tang
NAACL 2025, long paper
-
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
Findings of NAACL 2025, long paper
2024
-
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
2023 and before
-
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
-
Interpretable Low-Resource Legal Decision Making
Rohan Bhambhoria, Hui Liu, Samuel Dahan, Xiaodan Zhu
AAAI 2022 AI for Social Impact Track, full paper
-
Unsupervised Conversation Disentanglement through Co-Training
Hui Liu, Zhan Shi, Xiaodan Zhu
EMNLP 2021 main conference, long paper
[code]
-
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
-
Descriptive Image Captioning with Salient Retrieval Priors
Zhan Shi, Hui Liu, Xiaodan Zhu
Canadian Conference on Artificial Intelligence 2021, full paper
-
Enhancing Descriptive Image Captioning with Natural Language Inference
Zhan Shi, Hui Liu, Xiaodan Zhu
ACL-IJCNLP 2021 main conference, short paper
[code]
-
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
[code]
-
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
[code]
-
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
[code]
-
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
[code]
-
Towards Explainable NLP: A Generative Explanation Framework for Text Classification
Hui Liu, Qingyu Yin, William Yang Wang
ACL 2019, long paper
[code]
-
QuoteRec: Toward Quote Recommendation for Writing
Jiwei Tan, Xiaojun Wan, Hui Liu, Jianguo Xiao
ACM Transactions on Information Systems (TOIS), 2018
Miscellaneous
- My name is Hui, a Mandarin Chinese syllable. You may pronounce it as "/ˈhuːei/".
- I was born in Ji'an, China, a city which has nurtured many notable people from the ancient.
- I am a photographer, and I believe taking a good photo requires the same effort and attention to detail as conducting thorough research. If you're in the Bay Area and want to look great in a photo (or just want to discuss about research and AI), hit me up!
Last updated: 03/2025