Hongru Wang

According to our database, Hongru Wang authored at least 56 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Comput. Speech Lang., 2024

VLEU: a Method for Automatic Evaluation for Generalizability of Text-to-Image Models.

Jingtao Cao, Zheng Zhang, Hongru Wang, Kam-Fai Wong

CoRR, 2024

SoP: Unlock the Power of Social Facilitation for Automatic Jailbreak Attack.

Yan Yang, Zeguan Xiao, Xin Lu, Hongru Wang, Hailiang Huang, Guanhua Chen, Yun Chen

CoRR, 2024

Enhancing Biomedical Knowledge Retrieval-Augmented Generation with Self-Rewarding Tree Search and Proximal Policy Optimization.

Minda Hu, Licheng Zong, Hongru Wang, Jingyan Zhou, Jingjing Li, Yichen Gao, Kam-Fai Wong, Yu Li, Irwin King

CoRR, 2024

OSPC: Detecting Harmful Memes with Large Language Model as a Catalyst.

Jingtao Cao, Zheng Zhang, Hongru Wang, Bin Liang, Hao Wang, Kam-Fai Wong

CoRR, 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

CoRR, 2024

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

CoRR, 2024

Knowledge Conflicts for LLMs: A Survey.

Rongwu Xu, Zehan Qi, Cunxiang Wang, Hongru Wang, Yue Zhang, Wei Xu

CoRR, 2024

PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Synthesis in Question Answering.

Yiming Du, Hongru Wang, Zhengyi Zhao, Bin Liang, Baojun Wang, Wanjun Zhong, Zezhong Wang, Kam-Fai Wong

CoRR, 2024

A Comprehensive Study of Multilingual Confidence Estimation on Large Language Models.

Boyang Xue, Hongru Wang, Weichao Wang, Rui Wang, Sheng Wang, Zeming Liu, Kam-Fai Wong

CoRR, 2024

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

CoRR, 2024

UniMS-RAG: A Unified Multi-source Retrieval-Augmented Generation for Personalized Dialogue Systems.

Hongru Wang, Wenyu Huang, Yang Deng, Rui Wang, Zezhong Wang, Yufei Wang, Fei Mi, Jeff Z. Pan, Kam-Fai Wong

CoRR, 2024

Empowering Large Language Models: Tool Learning for Real-World Interaction.

Hongru Wang, Yujia Qin, Yankai Lin, Jeff Z. Pan, Kam-Fai Wong

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

TPE: Towards Better Compositional Reasoning over Cognitive Tools via Multi-persona Collaboration.

Hongru Wang, Huimin Wang, Lingzhi Wang, Minda Hu, Rui Wang, Boyang Xue, Yongfeng Huang, Kam-Fai Wong

Proceedings of the Natural Language Processing and Chinese Computing, 2024

Role Prompting Guided Domain Adaptation with General Capability Preserve for Large Language Models.

Rui Wang, Fei Mi, Yi Chen, Boyang Xue, Hongru Wang, Qi Zhu, Kam-Fai Wong, Ruifeng Xu

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Enhancing Large Language Models Against Inductive Instructions with Dual-critique Prompting.

Rui Wang, Hongru Wang, Fei Mi, Boyang Xue, Yi Chen, Kam-Fai Wong, Ruifeng Xu

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 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

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

M3sum: A Novel Unsupervised Language-Guided Video Summarization.

Hongru Wang, Baohang Zhou, Zhengkun Zhang, Yiming Du, David Ho, Kam-Fai Wong

Proceedings of the IEEE International Conference on Acoustics, 2024

Knowledge Conflicts for LLMs: A Survey.

Rongwu Xu, Zehan Qi, Zhijiang Guo, Cunxiang Wang, Hongru Wang, Yue Zhang, Wei Xu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

SeRTS: Self-Rewarding Tree Search for Biomedical Retrieval-Augmented Generation.

Minda Hu, Licheng Zong, Hongru Wang, Jingyan Zhou, Jingjing Li, Yichen Gao, Kam-Fai Wong, Yu Li, Irwin King

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

VLEU: a Method for Automatic Evaluation for Generalizability of Text-to-Image Models.

Jingtao Cao, Zhang Zheng, Hongru Wang, Kam-Fai Wong

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MCIL: Multimodal Counterfactual Instance Learning for Low-resource Entity-based Multimodal Information Extraction.

Baohang Zhou, Ying Zhang, Kehui Song, Hongru Wang, Yu Zhao, Xuhui Sui, Xiaojie Yuan

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

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

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialogue Policy Learning.

Wai-Chung Kwan, Huimin Wang, Hongru Wang, Zezhong Wang, Bin Liang, Xian Wu, Yefeng Zheng, Kam-Fai Wong

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 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

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Medical Dialogue System: A Survey of Categories, Methods, Evaluation and Challenges.

Xiaoming Shi, Zeming Liu, Li Du, Yuxuan Wang, Hongru Wang, Yuhang Guo, Tong Ruan, Jie Xu, Xiaofan Zhang, Shaoting Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

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

Int. J. Autom. Comput., 2023

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

CoRR, 2023

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

CoRR, 2023

TPE: Towards Better Compositional Reasoning over Conceptual Tools with Multi-persona Collaboration.

Hongru Wang, Huimin Wang, Lingzhi Wang, Minda Hu, Rui Wang, Boyang Xue, Hongyuan Lu, Fei Mi, Kam-Fai Wong

CoRR, 2023

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

CoRR, 2023

Self-Critique Prompting with Large Language Models for Inductive Instructions.

Rui Wang, Hongru Wang, Fei Mi, Yi Chen, Ruifeng Xu, Kam-Fai Wong

CoRR, 2023

Chain-of-thought prompting for responding to in-depth dialogue questions with LLM.

Hongru Wang, Rui Wang, Fei Mi, Zezhong Wang, Ruifeng Xu, Kam-Fai Wong

CoRR, 2023

MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging.

Hongru Wang, Zezhong Wang, Wai Chung Kwan, Kam-Fai Wong

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment.

Boyang Xue, Weichao Wang, Hongru Wang, Fei Mi, Rui Wang, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration.

Yang Deng, Lizi Liao, Liang Chen, Hongru Wang, Wenqiang Lei, Tat-Seng Chua

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

ReadPrompt: A Readable Prompting Method for Reliable Knowledge Probing.

Zezhong Wang, Luyao Ye, Hongru Wang, Wai-Chung Kwan, David Ho, Kam-Fai Wong

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogues.

Hongru Wang, Minda Hu, Yang Deng, Rui Wang, Fei Mi, Weichao Wang, Yasheng Wang, Wai-Chung Kwan, Irwin King, Kam-Fai Wong

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Retrieval-free Knowledge Injection through Multi-Document Traversal for Dialogue Models.

Rui Wang, Jianzhu Bao, Fei Mi, Yi Chen, Hongru Wang, Yasheng Wang, Yitong Li, Lifeng Shang, Kam-Fai Wong, Ruifeng Xu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization.

Liang Chen, Hongru Wang, Yang Deng, Wai-Chung Kwan, Zezhong Wang, Kam-Fai Wong

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

A Survey on Recent Advances and Challenges in Reinforcement LearningMethods for Task-Oriented Dialogue Policy Learning.

Wai-Chung Kwan, Hongru Wang, Huimin Wang, Kam-Fai Wong

CoRR, 2022

Prior Omission of Dissimilar Source Domain(s) for Cost-Effective Few-Shot Learning.

Zezhong Wang, Hongru Wang, Wai-Chung Kwan, Kam-Fai Wong

Proceedings of the 5th International Conference on Natural Language and Speech Processing, 2022

TopicRefine: Joint Topic Prediction and Dialogue Response Generation for Multi-turn End-to-End Dialogue System.

Hongru Wang, Mingyu Cui, Zimo Zhou, Kam-Fai Wong

Proceedings of the 5th International Conference on Natural Language and Speech Processing, 2022

Integrating Pretrained Language Model for Dialogue Policy Evaluation.

Hongru Wang, Huimin Wang, Zezhong Wang, Kam-Fai Wong

Proceedings of the IEEE International Conference on Acoustics, 2022

DIGAT: Modeling News Recommendation with Dual-Graph Interaction.

Zhiming Mao, Jian Li, Hongru Wang, Xingshan Zeng, Kam-Fai Wong

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Integrating Pretrained Language Model for Dialogue Policy Learning.

Hongru Wang, Huimin Wang, Zezhong Wang, Kam-Fai Wong

CoRR, 2021

Inconsistent Few-Shot Relation Classification via Cross-Attentional Prototype Networks with Contrastive Learning.

Hongru Wang, Zhijing Jin, Jiarun Cao, Gabriel Pui Cheong Fung, Kam-Fai Wong

CoRR, 2021

Prior Omission of Dissimilar Source Domain(s) for Cost-Effective Few-Shot Learning.

Zezhong Wang, Hongru Wang, Wai-Chung Kwan, Jia Zhu, Gabriel Pui Cheong Fung, Kam-Fai Wong

CoRR, 2021

TopicRefine: Joint Topic Prediction and Dialogue Response Generation for Multi-turn End-to-End Dialogue System.

Hongru Wang, Mingyu Cui, Zimo Zhou, Gabriel Pui Cheong Fung, Kam-Fai Wong

CoRR, 2021

MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging.

Hongru Wang, Zezhong Wang, Gabriel Pui Cheong Fung, Kam-Fai Wong

CoRR, 2021

2020

KddRES: A Multi-level Knowledge-driven Dialogue Dataset for Restaurant Towards Customized Dialogue System.

Hongru Wang, Min Li, Zimo Zhou, Gabriel Pui Cheong Fung, Kam-Fai Wong

CoRR, 2020

CUHK at SemEval-2020 Task 4: CommonSense Explanation, Reasoning and Prediction with Multi-task Learning.

Hongru Wang, Xiangru Tang, Sunny Lai, Kwong-Sak Leung

CoRR, 2020

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 Pui Cheong Fung, Kam-Fai Wong

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020