• Conference Paper

    • 2024

    AutoCV: Empowering Reasoning with Automated Process Labeling via Confidence Variation
    Jianqiao Lu, Zhiyang Dou, Hongru WANG, Zeyu Cao, Jianbo Dai, Yingjia Wan, Yinya Huang, Zhijiang Guo
    NeruIPS 2024
    AppBench: Planning of Multiple APIs from Various APPs for Complex User Instruction
    Hongru WANG, Rui Wang, Boyang XUE, Heming Xia, Jingtao Cao, Zeming Liu, Jeff Z. Pan, Kam-Fai Wong
    EMNLP 2024 (apple intelligence, graph execution, permission management)
    Knowledge Conflicts for LLMs: A Survey
    Rongwu Xu, Zehan Qi, Zhijiang Guo, Cunxiang Wang, Hongru WANG, Yue Zhang, Wei Xu
    EMNLP 2024
    VLEU: a Method for Automatic Evaluation for Generalizability of Text-to-Image Models
    Jingtao Cao, Zhang Zheng, Hongru WANG, Kam-Fai Wong
    EMNLP 2024
    Enhancing Biomedical Knowledge RAG with Self-Rewarding Tree Search and PPO
    Minda Hu, Licheng Zong, Hongru WANG, Jingyan Zhou, Jingjing Li, Yichen Gao, Kam-Fai Wong, Yu Li, Irwin King
    Findings, EMNLP 2024
    Less is More: Making Smaller Language Models Competent Subgraph Retrievers for Multi-hop KGQA
    Wenyu Huang, Guancheng Zhou, Hongru WANG, Pavlos Vougiouklis, Mirella Lapata, Jeff Z. Pan
    Findings, EMNLP 2024
    TPE: Towards Better Compositional Reasoning over Conceptual Tools ..
    Hongru WANG, Huimin Wang, Lingzhi Wang, Minda Hu, Rui Wang, Boyang XUE, Yongfeng Huang, Kam-Fai Wong
    NLPCC 2024 (first work to utilize cognitive/conceptual tool in dialogue agent)
    Medical Dialogue: A Survey of Categories, Methods, Evaluation and Challenges
    Xiaoming Shi, Zeming Liu, Li Du, Yuxuan Wang, Hongru WANG, Yuhang Guo, Tong Ruan, JIE XU, Shaoting Zhang
    Findings, ACL 2024
    DPDLLM: A Black-box Framework for Detecting Pre-training Data from Large Language Models
    Baohang Zhou, Zezhong WANG, Lingzhi Wang, Hongru WANG, Ying Zhang, Kehui Song, Xuhui Sui, Kam-Fai Wong
    Findings, ACL 2024
    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
    Role Prompting Guided Domain Adaptation with General Capability Preserve for LLM
    Rui Wang, Fei Mi, Yi Chen, Boyang XUE, Hongru WANG, Qi Zhu, Kam-Fai Wong, Ruifeng Xu
    Findings, NAACL 2024
    SELF-GUARD: Empower the LLM to Safeguard Itself
    Zezhong Wang, Fangkai Yang, Lu Wang, Pu Zhao, Hongru WANG, Liang Chen, Qingwei Lin, Kam-Fai Wong
    NAACL 2024
    MCIL: Multimodal Counterfactual Instance Learning for .. Multimodal Information Extraction
    Baohang Zhou, Ying Zhang, Kehui Song, Hongru WANG, Yu Zhao, Xuhui Sui and Xiaojie Yuan
    LREC-COLING 2024
    JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialog Policy Learning
    Wai-Chung Kwan, Huimin Wang, Hongru WANG, Zezhong Wang, Xian Wu, Yefeng Zheng, Kam-Fai Wong
    LREC-COLING 2024
    UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive ..
    Hongru WANG, Boyang Xue, Baohang Zhou, Rui Wang, Fei Mi, Weichao Wang, Yasheng Wang, Kam-Fai Wong
    LREC-COLING 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)