Hongru WANG Hongru WANG

Hongru WANG

Ph.D. Candidate

Department of Systems Engineering and Engineering Management,

The Chinese University of Hong Kong

About Me [CV]

I am currently a third-year Ph.D. Candidate at The Chinese University of Hong Kong, very honored and fortunate to be supervised by Prof. Kam-Fai WONG at The Chinese University of Hong Kong. I obtained my Bachelor's degree and Master's degree from the Communication University of China and The Chinese University of Hong Kong in 2019 and 2020, respectively. I am happy to visit The University of Edinburgh, working closely with Prof. Jeff Z. Pan. Besides that, I am co-founder and organizer of NLP Academic Exchange Platform (NICE), which provide a platform to share and discuss recent progress in NLP. 📚📚📚


My research focus revolves around advancing intelligent dialogue systems, or personalized language agents, designed to seamlessly address a diverse array of user needs using different tools instead of treat them in isolation. More details can be found below.


If you are interested in my work, I dedicate 60 minutes per week to chat with persons, feel free to say hi if you want to discuss or cooperate. 📆📆📆 Schedule meeting with me!

Research Interest

  • Dialogue System: Prior to LLMs, I focus on task-oriented dialogue system, especially the natural langugae understanding (MCML), and dialogue policy learning (PPO-Off-Comb, Survey of DPL). We build a first Cantonese task-oriented dialogue dataset -- KddRES. Then I turn to open-domain dialogue system, especially the interal reasoning capabilities of LLMs (Cue-CoT) and how they interect with external multiple knowledge sources (SAFARI, UniMS-RAG). We recently survey the evolution of dialogue system based on language model (from ToD to ODD, and then unified dialogue system) (LM-based DS).

  • Tool Learning: Besides only modelling physical tools, such as models and APIs, I am interested in how internal congitive tools (TPE), like different conversational strategies and reflection, can be combined with external physical tools. I am attracted to the whole life cycle of tool learning, such as tool creation (UniRetriever), tool selection (Self-DC) and tool utilization (M3SUM). Utilizing tool learning to empower LLMs for real-world interaction is both intriguing and impactful.

  • Language Agents: More broadly, I believe dialogue will be the entrance of next human-ai interaction, similar like human beings. To this end, I also focus other aspects of diague agents, including but not limited to safety (INDust, Self-Guard), role-playing (REGA), memory, factuality (K-Dial) and proactivity (Pro-CoT).

News

Competition and Conference [Full]

  • Apr 2024: We are about to organize the SIGIR 2024 tutorial: Empowering Large Language Models: Tool Learning for Real-World Interaction 😍
  • Mar 2024: Three papers are accepted by NAACL 2024, including one co-first author work: INDust targets inductive instructions of users, accompany with Dual-critique method. 😍
  • Mar 2024: One paper KddRES, which is a first Cantonese task-oriented dialogue dataset, is accepted by the journal of Computer Speech and Language (SCI Q2, IF: 4.3).
  • Feb 2024: Three papers are accepted by LREC-COLING 2024, including one first-author work: UniRetriever. 😍
  • Jan 2024: Very happy to receive visiting offer from University of Edinburgh, and see u at Europe!!

Selected Publications

Journal and conference [Full]

Enhancing Large Language Models Against Inductive Instructions with Dual-critique Prompting
Rui Wang*, Hongru WANG*, Fei Mi, Yi Chen, Boyang Xue, Kam-Fai Wong, Ruifeng Xu
NAACL 2024
KddRES: A Multi-level Knowledge-driven Dialogue Dataset for Restaurant Towards Customized Dialogue System
Hongru WANG, Wai-Chung Kwan, Min Li, Zimo Zhou, Kam-Fai Wong
Computer Speech and Language (SCI Q2, IF: 4.3)
UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive Conversational Retrieval
Hongru WANG, Boyang Xue, Baohang Zhou, Rui Wang, Fei Mi, Weichao Wang, Yasheng Wang, Kam-Fai Wong
LREC-COLING 2024
M3Sum: A Novel Unsupervised Language-guided Video Summarization
Hongru WANG*, Baohang Zhou*, Zhengkun Zhang, Yiming Du, David Ho, Kam-Fai Wong
ICASSP 2024 (using ChatGPT to edit video) [oral paper]
Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogue
Hongru Wang, Minda Hu, Yang Deng, Rui Wang, Fei Mi, Weichao Wang, Yasheng Wang, Wai-Chung Kwan, Irwin King, Kam-Fai Wong
Findings, EMNLP 2023
[Best Paper Award] at International Doctoral Forum (2023) Code Poster PPT
Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs
Hongru Wang*, Rui Wang*, Fei Mi, Yang Deng, Zezhong Wang, Bin Liang, Ruifeng Xu, Kam-Fai Wong
Findings, EMNLP 2023 Code Poster PPT
MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging
Hongru Wang, Zezhong Wang, Wai-Chung Kwan, Kam-Fai Wong
IJCNLP-AACL 2023 [Oral paper]
A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-Oriented Dialogue Policy Learning
Wai-Chung Kwan*, Hongru WANG*, Huimin Wang, Kam-Fai Wong
Machine Intelligence Research [Invited Paper]
Integrating Pretrained Language Model for Dialogue Policy Learning
Hongru WANG, Huimin Wang, Zezhong Wang, Kam-Fai Wong
ICASSP 2022
CUHK at SemEval-2020 Task 4: CommonSense Explanation, Reasoning and Prediction with Multi-task Learning
Hongru WANG, Xiangru Tang, Sunny Lai, Kwong Sak Leung, Jia Zhu, Gabriel, and Kam-Fai WONG
SemEval of COLING 2020

Preprint

Draft and Under Review

Knowledge Conflicts for LLMs: A Survey
Rongwu Xu, Zehan Qi, Cunxiang Wang, Hongru WANG, Yue Zhang, Wei Xu
Under Review
Self-DC: When to retrieve and When to generate? Self Divide-and-Conquer for Compositional Unknown Questions
Hongru Wang, Boyang Xue, Baohang Zhou, Tianhua Zhang, Cunxiang Wang, Guanhua Chen, Huimin Wang, Kam-fai Wong
Under Review
A Survey of the Evolution of Language Model-Based Dialogue Systems
Hongru Wang, Lingzhi Wang, Yiming Du, Liang Chen, Jingyan Zhou, Yufei Wang, Kam-Fai Wong
Under Review
TPE: Towards Better Compositional Reasoning over Conceptual Tools with Multi-persona Collaboration (2023)
Hongru WANG, Huimin Wang, Lingzhi Wang, Minda Hu, Rui Wang, Boyang XUE, Hongyuan Lu, Fei Mi, Kam-Fai Wong
Under Review (Most favorite motivation)

Projects

Hongru WANG, Gabriel, Kam-Fai Wong (2020). Dialogue Collection Platform for Restaurant in HK. We build the website to mimic the coversation between consumer and restaurant and collect the data to build task-oriented dialogue system. Website


Hongru WANG, Gabriel, Changjian Liu, Kam-Fai Wong (2020). SMP 2020 ECDT Few-shot Spoken Language Understanding. We use ERNIE, ERNIE+CRF, ERNIE+BiLSTM+CRF to solve this problem, and different trick like mask strategy. We get Top 3 at the leaderboard. Leaderboard


Hongru WANG, Li Min (2019). A Game about Error Correction for Cantonese. Using js-cookie, javascript, bootstracp DEMO

Experience

Intern and Volunteer

  • 2020/03-2021/09, Research Assistant, CUHK, Dialogue System and Few Shot Learning at MoE Key Lab of High Confidence Software Technologies
  • 2019/04-2019/07, Recommendation System Intern, Kuaishou, Music and Video Recommendation
  • 2018/07-2018/10, Data Analysis Intern, 360 Finance, Data Analysis, Weekly and Monthly Report

Awards

Competitions, Scholarship

  • Top 10 at ICLR 2021 Workshop MLPCP Track 1 (rank 7th)
  • Third Price at SMP2020-ECDT Few-shot Spoken Language Understanding
  • Top 10 at SemEval2020-Task4: CommonSense Detection and Explanations
  • Meritorious Winner, Mathematical Contest In Modeling(2018)
  • A software copyright of “WeCampus WeChat mini-program”(2018SR562540)
  • Third Prize of Internet + College Students Innovation and Entrepreneurship Competition China National Radio Scholarship

Services

Reviewers, Workshops

  • Conference: IJCAI2023, EMNLP2023, AAAI2024, ARR (Oct,Dec-2023, Feb-2024)

TA

Teaching Assistant, Student Helper

  • SEEM 3450 Engineering Innovation and Entrepreneurship
  • SEEM 3490 Information Systems Management
  • SEEM 5730 / ECLT 5910 Information Technology Management

Tools

Open Source Tools, just for fun

Contact

  • You can find me in wechat amount: 地球漫游必备手册 -> 慧用智能
  • hrwang@se.cuhk.edu.hk
  • Hong Kong, ShenZhen, Beijing, GuangZhou, HangZhou, Singapore, Bali