• Conference Paper

    • 2025

    Can LLMs Evaluate Complex Attribution in QA? Automatic Benchmarking using Knowledge Graphs
    Nan Hu, Jiaoyan Chen, Yike Wu, Guilin Qi, Hongru WANG, et al., Jeff Z. Pan
    ACL 2025
    ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs
    Yan Yang, Yixia Li, Hongru WANG, Xuetao Wei, James Jianqiao Yu, Yun Chen, Guanhua Chen
    ACL 2025
    UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models
    Boyang XUE, Fei Mi, Qi Zhu, Hongru WANG, Rui Wang, Sheng Wang, Erxin Yu, Xuming Hu, Kam-Fai Wong
    ACL 2025
    Self-Reasoning Language Models: Unfold Hidden Reasoning Chains with Few Reasoning Catalyst
    Hongru WANG, Deng Cai, Wanjun Zhong, Shijue Huang, Jeff Z. Pan, Zeming Liu, Kam-Fai Wong
    Reasoning and Planning for Large Language Models of ICLR 2025
    ACL 2025, Findings (data synthesise to self-improve itself for LLMs)
    Rethinking Stateful Tool Use in Multi-Turn Dialogues: Benchmarks and Challenges
    Hongru WANG, Wenyu Huang, et al., Zeming Liu, Jeff Z. Pan, Kam-Fai Wong
    ACL 2025, Findings
    MlingConf: A Comprehensive Study of Multilingual Confidence Estimation on Large Language Models
    Boyang XUE*, Hongru WANG*, Rui Wang, et al., Wenxuan Zhang, Kam-Fai Wong
    ACL 2025, Findings
    TransBench: Breaking Barriers for Transferable Graphical User Interface Agents in Dynamic Digital Environments
    Yuheng Lu*, Qian Yu*, Hongru WANG*, Zeming Liu, Wei Su, et al., Yunhong Wang, Haifeng Wang
    ACL 2025, Findings
    ToolSpectrum: Towards Personalized Tool Utilization for Large Language Models
    Zihao Cheng*, Hongru WANG*, Zeming Liu, Yuhang Guo, Yuanfang Guo, Yunhong Wang, Haifeng Wang
    ACL 2025, Findings
    SMART: Self-Aware Agent for Tool Overuse Mitigation
    Cheng Qian, Emre Can Acikgoz, Hongru WANG, Xiusi Chen, Avirup Sil, Dilek Hakkani-Tür, Gokhan Tur, Heng Ji
    ACL 2025, Findings
    Self-DC: When to Reason and When to Act? Self Divide-and-Conquer for ..
    Hongru Wang, Boyang Xue, Baohang Zhou, et. al, Kam-fai Wong
    NAACL 2025 (tool management regarding internal tools and external tools)
    Oral = 246 / 3185 ~= 7.7%
    Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
    YuZhao, et al., Hongru WANG, Xuanli He, Kam-Fai Wong, Pasquale Minervini
    NAACL 2025 (tool conflicts with each other, how to detect and control the behaviors)
    Oral = 246 / 3185 ~= 7.7%
    SeqAR: Jailbreak LLMs with Sequential Auto-Generated Characters
    Yan Yang, Xin Lu, Hongru WANG, et al., Guanhua Chen, Yun Chen
    NAACL 2025

    2024

    2023

    2022

  • Journal

    • 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)
    A Survey on Recent Advances and Challenges in Reinforcement Learning Methods ..
    Wai-Chung Kwan*, Hongru WANG*, Huimin Wang, Kam-Fai Wong
    Machine Intelligence Research

  • Workshop, Tutorial and Others

    • Analysing the Residual Stream of Language Models Under Knowledge Conflicts
    Yu Zhao, Xiaotang Du, et. al, Hongru Wang, Xuanli He, Kam-Fai Wong, Pasquale Minervini
    MINT Workshop, NeurIPS 2024
    Fine-tuning after Prompting: an Explainable Way for Classification
    Zezhong Wang, Luyao Ye, Hongru WANG, Boyang Xue, Yiming Du, Bin Liang, and Kam-Fai Wong
    SIGHAN, ACL 2024
    PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Fusion ..
    Yiming Du, Hongru WANG, Zhengyi Zhao, et. al, and Kam-Fai Wong
    SIGHAN, ACL 2024 ( Best Paper Award) [Certification]
    OSPC: Detecting Harmful Memes with Large Language Model as a Catalyst
    Jingtao Cao, Zheng Zhang, Hongru WANG, Bin Liang, Hao Wang, Kam-fai Wong
    Online Safety Prize Challenge, WWW 2024 ( Champion)
    Empowering Large Language Models: Tool Learning for Real-World Interaction
    Hongru WANG, Yujia Qin, Yankai Lin, Jeff Z. Pan and Kam-Fai Wong
    Tutorial, SIGIR 2024 (first comprehensive tutorial about tool learning)