Hui Liu

Hui Liu (刘晖)

Email: huiliulayne@gmail.com

[Publications] [Miscellaneous]

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


Experience

Academic Services

Publication/Preprint

    Preprint

  1. Harnessing the Unseen: The Hidden Influence of Intrinsic Knowledge in Long-Context Language Models
    Yu Fu, Haz Sameen Shahgir, Hui Liu, Xianfeng Tang, Qi He, Yue Dong
    Manuscript, 2025

  2. m1: Unleash the Potential of Test-Time Scaling for Medical Reasoning with Large Language Models
    Xiaoke Huang, Juncheng Wu, Hui Liu, Xianfeng Tang, Yuyin Zhou
    Manuscript, 2025

  3. ViLBench: A Suite for Vision-Language Process Reward Modeling
    Haoqin Tu, Weitao Feng, Hardy Chen, Hui Liu, Xianfeng Tang, Cihang Xie
    Manuscript, 2025

  4. Cite Before You Speak: Enhancing Context-Response Grounding in E-commerce Conversational LLM-Agents
    Jingying Zeng*, Hui Liu*, Zhenwei Dai*, Xianfeng Tang, Chen Luo, Samarth Varshney, Zhen Li, Qi He
    Manuscript, 2025

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

    11. 2025

  11. Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce
    Jingying Zeng, Zhenwei Dai, Hui Liu, Samarth Varshney, Zhiji Liu, Chen Luo, Zhen Li, Qi He, Xianfeng Tang
    SIGIR 2025 SIRIP (Industry Track) track

  12. 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
    13. [code] [Hacker News]
  13. 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

  14. 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

  15. 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

  16. 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

    17. 2024

  17. 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

    18. 2023 and before

  18. 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

  19. Interpretable Low-Resource Legal Decision Making
    Rohan Bhambhoria, Hui Liu, Samuel Dahan, Xiaodan Zhu
    AAAI 2022 AI for Social Impact Track, full paper

  20. Unsupervised Conversation Disentanglement through Co-Training
    Hui Liu, Zhan Shi, Xiaodan Zhu
    EMNLP 2021 main conference, long paper
    21. [code]
  21. 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

  22. Descriptive Image Captioning with Salient Retrieval Priors
    Zhan Shi, Hui Liu, Xiaodan Zhu
    Canadian Conference on Artificial Intelligence 2021, full paper

  23. Enhancing Descriptive Image Captioning with Natural Language Inference
    Zhan Shi, Hui Liu, Xiaodan Zhu
    ACL-IJCNLP 2021 main conference, short paper
    24. [code]
  24. 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
    25. [code]
  25. 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
    26. [code]
  26. 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
    27. [code]
  27. 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
    28. [code]
  28. Towards Explainable NLP: A Generative Explanation Framework for Text Classification
    Hui Liu, Qingyu Yin, William Yang Wang
    ACL 2019, long paper
    29. [code]
  29. QuoteRec: Toward Quote Recommendation for Writing
    Jiwei Tan, Xiaojun Wan, Hui Liu, Jianguo Xiao
    ACM Transactions on Information Systems (TOIS), 2018

Miscellaneous

Last updated: 03/2025