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ORCIDKam-Fai Wong
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- affiliation: Chinese University of Hong Kong
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2020 – today
- 2024
[j71]Hongru Wang
, Wai-Chung Kwan, Min Li, Zimo Zhou, Kam-Fai Wong:
KddRES: A Multi-level Knowledge-driven Dialogue Dataset for Restaurant Towards Customized Dialogue System. Comput. Speech Lang. 87: 101637 (2024)- [c190]Baohang Zhou, Zezhong Wang, Lingzhi Wang, Hongru Wang, Ying Zhang, Kehui Song, Xuhui Sui, Kam-Fai Wong:
DPDLLM: A Black-box Framework for Detecting Pre-training Data from Large Language Models. ACL (Findings) 2024: 644-653 - [c189]Liang Chen, Yatao Bian, Yang Deng, Deng Cai, Shuaiyi Li, Peilin Zhao, Kam-Fai Wong:
WatME: Towards Lossless Watermarking Through Lexical Redundancy. ACL (1) 2024: 9166-9180 - [c188]Bin Liang, Ang Li, Jingqian Zhao, Lin Gui, Min Yang, Yue Yu, Kam-Fai Wong, Ruifeng Xu:
Multi-modal Stance Detection: New Datasets and Model. ACL (Findings) 2024: 12373-12387 - [c187]Wai-Chung Kwan, Xingshan Zeng, Yufei Wang, Yusen Sun, Liangyou Li, Yuxin Jiang, Lifeng Shang, Qun Liu, Kam-Fai Wong:
M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models. ACL (1) 2024: 15568-15592 - [c186]Wai-Chung Kwan, Huimin Wang, Hongru Wang, Zezhong Wang, Bin Liang, Xian Wu, Yefeng Zheng, Kam-Fai Wong:
JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialogue Policy Learning. LREC/COLING 2024: 9578-9588 - [c185]Xiaoyan Zhao, Lingzhi Wang, Zhanghao Wang, Hong Cheng, Rui Zhang, Kam-Fai Wong:
PACAR: Automated Fact-Checking with Planning and Customized Action Reasoning Using Large Language Models. LREC/COLING 2024: 12564-12573 - [c184]Hongru Wang, Boyang Xue, Baohang Zhou, Rui Wang, Fei Mi, Weichao Wang, Yasheng Wang, Kam-Fai Wong:
UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive Conversational Retrieval. LREC/COLING 2024: 17074-17086 - [c183]Luyang Lin, Lingzhi Wang, Xiaoyan Zhao, Jing Li, Kam-Fai Wong:
IndiVec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias Indicators. EACL (Findings) 2024: 1038-1050 - [c182]Hongru Wang, Baohang Zhou, Zhengkun Zhang, Yiming Du, David Ho, Kam-Fai Wong:
M3sum: A Novel Unsupervised Language-Guided Video Summarization. ICASSP 2024: 4140-4144 - [c181]Zezhong Wang, Fangkai Yang, Lu Wang, Pu Zhao, Hongru Wang, Liang Chen, Qingwei Lin, Kam-Fai Wong:
SELF-GUARD: Empower the LLM to Safeguard Itself. NAACL-HLT 2024: 1648-1668 - [c180]Rui Wang, Fei Mi, Yi Chen, Boyang Xue, Hongru Wang, Qi Zhu, Kam-Fai Wong, Ruifeng Xu:
Role Prompting Guided Domain Adaptation with General Capability Preserve for Large Language Models. NAACL-HLT (Findings) 2024: 2243-2255 - [c179]Zhiming Mao, Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong:
Visually Guided Generative Text-Layout Pre-training for Document Intelligence. NAACL-HLT 2024: 4713-4730 - [c178]Rui Wang, Hongru Wang, Fei Mi, Boyang Xue, Yi Chen, Kam-Fai Wong, Ruifeng Xu:
Enhancing Large Language Models Against Inductive Instructions with Dual-critique Prompting. NAACL-HLT 2024: 5345-5363 - [c177]Hongru Wang, Yujia Qin, Yankai Lin, Jeff Z. Pan, Kam-Fai Wong:
Empowering Large Language Models: Tool Learning for Real-World Interaction. SIGIR 2024: 2983-2986 - [i65]Hongru Wang, Wenyu Huang, Yang Deng, Rui Wang, Zezhong Wang, Yufei Wang, Fei Mi, Jeff Z. Pan, Kam-Fai Wong:
UniMS-RAG: A Unified Multi-source Retrieval-Augmented Generation for Personalized Dialogue Systems. CoRR abs/2401.13256 (2024) - [i64]Wai-Chung Kwan, Xingshan Zeng, Yuxin Jiang, Yufei Wang, Liangyou Li, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong:
MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models. CoRR abs/2401.16745 (2024) - [i63]Luyang Lin, Lingzhi Wang, Xiaoyan Zhao, Jing Li, Kam-Fai Wong:
IndiVec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias Indicators. CoRR abs/2402.00345 (2024) - [i62]Lingzhi Wang, Xingshan Zeng, Jinsong Guo, Kam-Fai Wong, Georg Gottlob:
Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models. CoRR abs/2402.05813 (2024) - [i61]Hongru Wang, Boyang Xue, Baohang Zhou, Tianhua Zhang, Cunxiang Wang, Guanhua Chen, Huimin Wang, Kam-Fai Wong:
Self-DC: When to retrieve and When to generate? Self Divide-and-Conquer for Compositional Unknown Questions. CoRR abs/2402.13514 (2024) - [i60]Boyang Xue, Hongru Wang, Weichao Wang, Rui Wang, Sheng Wang, Zeming Liu, Kam-Fai Wong:
A Comprehensive Study of Multilingual Confidence Estimation on Large Language Models. CoRR abs/2402.13606 (2024) - [i59]Han Zhang, Lin Gui, Yu Lei, Yuanzhao Zhai, Yehong Zhang, Yulan He, Hui Wang, Yue Yu, Kam-Fai Wong, Bin Liang, Ruifeng Xu:
COPR: Continual Human Preference Learning via Optimal Policy Regularization. CoRR abs/2402.14228 (2024) - [i58]Ang Li, Jingqian Zhao, Bin Liang, Lin Gui, Hui Wang, Xi Zeng, Kam-Fai Wong, Ruifeng Xu:
Mitigating Biases of Large Language Models in Stance Detection with Calibration. CoRR abs/2402.14296 (2024) - [i57]Bin Liang, Ang Li, Jingqian Zhao, Lin Gui, Min Yang, Yue Yu, Kam-Fai Wong, Ruifeng Xu:
Multi-modal Stance Detection: New Datasets and Model. CoRR abs/2402.14298 (2024) - [i56]Hongru Wang, Boyang Xue, Baohang Zhou, Rui Wang, Fei Mi, Weichao Wang, Yasheng Wang, Kam-Fai Wong:
UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive Conversational Retrieval. CoRR abs/2402.16261 (2024) - [i55]Yiming Du, Hongru Wang, Zhengyi Zhao, Bin Liang, Baojun Wang, Wanjun Zhong, Zezhong Wang, Kam-Fai Wong:
PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Synthesis in Question Answering. CoRR abs/2402.16288 (2024) - [i54]Rui Wang, Fei Mi, Yi Chen, Boyang Xue, Hongru Wang, Qi Zhu, Kam-Fai Wong, Ruifeng Xu:
Role Prompting Guided Domain Adaptation with General Capability Preserve for Large Language Models. CoRR abs/2403.02756 (2024) - [i53]Bin Liang, Bingbing Wang, Zhixin Bai, Qiwei Lang, Mingwei Sun, Kaiheng Hou, Kam-Fai Wong, Ruifeng Xu:
Reply with Sticker: New Dataset and Model for Sticker Retrieval. CoRR abs/2403.05427 (2024) - [i52]Bingbing Wang, Bin Liang, Chun-Mei Feng, Wangmeng Zuo, Zhixin Bai, Shijue Huang, Kam-Fai Wong, Ruifeng Xu:
Towards Real-World Stickers Use: A New Dataset for Multi-Tag Sticker Recognition. CoRR abs/2403.05428 (2024) - [i51]Bojia Zi, Shihao Zhao, Xianbiao Qi, Jianan Wang, Yukai Shi, Qianyu Chen, Bin Liang, Kam-Fai Wong, Lei Zhang:
CoCoCo: Improving Text-Guided Video Inpainting for Better Consistency, Controllability and Compatibility. CoRR abs/2403.12035 (2024) - [i50]Luyang Lin, Lingzhi Wang, Jinsong Guo, Jing Li, Kam-Fai Wong:
IndiTag: An Online Media Bias Analysis and Annotation System Using Fine-Grained Bias Indicators. CoRR abs/2403.13446 (2024) - [i49]Luyang Lin, Lingzhi Wang, Jinsong Guo, Kam-Fai Wong:
Investigating Bias in LLM-Based Bias Detection: Disparities between LLMs and Human Perception. CoRR abs/2403.14896 (2024) - [i48]Zhiming Mao, Haoli Bai, Lu Hou, Jiansheng Wei, Xin Jiang, Qun Liu, Kam-Fai Wong:
Visually Guided Generative Text-Layout Pre-training for Document Intelligence. CoRR abs/2403.16516 (2024) - [i47]Jingtao Cao, Zheng Zhang, Hongru Wang, Bin Liang, Hao Wang, Kam-Fai Wong:
OSPC: Detecting Harmful Memes with Large Language Model as a Catalyst. CoRR abs/2406.09779 (2024) - [i46]Minda Hu, Licheng Zong, Hongru Wang, Jingyan Zhou, Jingjing Li, Yichen Gao, Kam-Fai Wong, Yu Li, Irwin King:
Enhancing Biomedical Knowledge Retrieval-Augmented Generation with Self-Rewarding Tree Search and Proximal Policy Optimization. CoRR abs/2406.11258 (2024) - [i45]Zezhong Wang, Xingshan Zeng, Weiwen Liu, Yufei Wang, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong:
Chain-of-Probe: Examing the Necessity and Accuracy of CoT Step-by-Step. CoRR abs/2406.16144 (2024) - 2023
- [j70]Wai-Chung Kwan, Hongru Wang, Huimin Wang, Kam-Fai Wong:
A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-oriented Dialogue Policy Learning. Int. J. Autom. Comput. 20(3): 318-334 (2023) - [j69]Jing Ma, Jun Li, Wei Gao, Yang Yang, Kam-Fai Wong:
Improving Rumor Detection by Promoting Information Campaigns With Transformer-Based Generative Adversarial Learning. IEEE Trans. Knowl. Data Eng. 35(3): 2657-2670 (2023) - [j68]Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong:
Quotation Recommendation for Multi-party Online Conversations Based on Semantic and Topic Fusion. ACM Trans. Inf. Syst. 41(4): 94:1-94:27 (2023) - [c176]Zhiming Mao, Huimin Wang, Yiming Du, Kam-Fai Wong:
UniTRec: A Unified Text-to-Text Transformer and Joint Contrastive Learning Framework for Text-based Recommendation. ACL (2) 2023: 1160-1170 - [c175]Huimin Wang, Wai-Chung Kwan, Kam-Fai Wong, Yefeng Zheng:
CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation. ACL (1) 2023: 6348-6361 - [c174]Rui Wang, Jianzhu Bao, Fei Mi, Yi Chen, Hongru Wang, Yasheng Wang, Yitong Li, Lifeng Shang, Kam-Fai Wong, Ruifeng Xu:
Retrieval-free Knowledge Injection through Multi-Document Traversal for Dialogue Models. ACL (1) 2023: 6608-6619 - [c173]Liang Chen, Hongru Wang, Yang Deng, Wai-Chung Kwan, Zezhong Wang, Kam-Fai Wong:
Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization. ACL (Findings) 2023: 7337-7345 - [c172]Lingzhi Wang, Tong Chen, Wei Yuan, Xingshan Zeng, Kam-Fai Wong, Hongzhi Yin:
KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment. ACL (1) 2023: 13264-13276 - [c171]Lingzhi Wang, Mrinmaya Sachan, Xingshan Zeng, Kam-Fai Wong:
Strategize Before Teaching: A Conversational Tutoring System with Pedagogy Self-Distillation. EACL (Findings) 2023: 2223-2229 - [c170]Chenran Cai, Qianlong Wang, Bin Liang, Bing Qin, Min Yang, Kam-Fai Wong, Ruifeng Xu:
In-context Learning for Few-shot Multimodal Named Entity Recognition. EMNLP (Findings) 2023: 2969-2979 - [c169]Liang Chen, Yang Deng, Yatao Bian, Zeyu Qin, Bingzhe Wu, Tat-Seng Chua, Kam-Fai Wong:
Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators. EMNLP 2023: 6325-6341 - [c168]Zezhong Wang, Luyao Ye, Hongru Wang, Wai-Chung Kwan, David Ho, Kam-Fai Wong:
ReadPrompt: A Readable Prompting Method for Reliable Knowledge Probing. EMNLP (Findings) 2023: 7468-7479 - [c167]Boyang Xue, Weichao Wang, Hongru Wang, Fei Mi, Rui Wang, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong:
Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment. EMNLP (Findings) 2023: 7829-7844 - [c166]Hongru Wang, Minda Hu, Yang Deng, Rui Wang, Fei Mi, Weichao Wang, Yasheng Wang, Wai-Chung Kwan, Irwin King, Kam-Fai Wong:
Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogues. EMNLP (Findings) 2023: 9556-9569 - [c165]Hongru Wang, Rui Wang, Fei Mi, Yang Deng, Zezhong Wang, Bin Liang, Ruifeng Xu, Kam-Fai Wong:
Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs. EMNLP (Findings) 2023: 12047-12064 - [c164]Geng Tu, Bin Liang, Bing Qin, Kam-Fai Wong, Ruifeng Xu:
An Empirical Study on Multiple Knowledge from ChatGPT for Emotion Recognition in Conversations. EMNLP (Findings) 2023: 12160-12173 - [c163]Jiangnan Li, Yice Zhang, Bin Liang, Kam-Fai Wong, Ruifeng Xu:
Set Learning for Generative Information Extraction. EMNLP 2023: 13043-13052 - [c162]Geng Tu, Ran Jing, Bin Liang, Min Yang, Kam-Fai Wong, Ruifeng Xu:
A Training-Free Debiasing Framework with Counterfactual Reasoning for Conversational Emotion Detection. EMNLP 2023: 15639-15650 - [c161]Hongru Wang, Zezhong Wang, Wai Chung Kwan, Kam-Fai Wong:
MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging. IJCNLP (1) 2023: 54-65 - [c160]Huimin Wang, Wai-Chung Kwan, Kam-Fai Wong:
Dialog Action-Aware Transformer for Dialog Policy Learning. SIGDIAL 2023: 142-148 - [i44]Lingzhi Wang, Mrinmaya Sachan, Xingshan Zeng, Kam-Fai Wong:
Strategize Before Teaching: A Conversational Tutoring System with Pedagogy Self-Distillation. CoRR abs/2302.13496 (2023) - [i43]Lingzhi Wang, Tong Chen, Wei Yuan, Xingshan Zeng, Kam-Fai Wong, Hongzhi Yin:
KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment. CoRR abs/2305.06535 (2023) - [i42]Hongru Wang, Rui Wang, Fei Mi, Zezhong Wang, Ruifeng Xu, Kam-Fai Wong:
Chain-of-thought prompting for responding to in-depth dialogue questions with LLM. CoRR abs/2305.11792 (2023) - [i41]Liang Chen, Hongru Wang, Yang Deng, Wai-Chung Kwan, Zezhong Wang, Kam-Fai Wong:
Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization. CoRR abs/2305.12782 (2023) - [i40]Rui Wang, Hongru Wang, Fei Mi, Yi Chen, Ruifeng Xu, Kam-Fai Wong:
Self-Critique Prompting with Large Language Models for Inductive Instructions. CoRR abs/2305.13733 (2023) - [i39]Zhiming Mao, Huimin Wang, Yiming Du, Kam-Fai Wong:
UniTRec: A Unified Text-to-Text Transformer and Joint Contrastive Learning Framework for Text-based Recommendation. CoRR abs/2305.15756 (2023) - [i38]Huimin Wang, Wai-Chung Kwan, Kam-Fai Wong, Yefeng Zheng:
CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation. CoRR abs/2307.08290 (2023) - [i37]Wai-Chung Kwan, Huimin Wang, Hongru Wang, Zezhong Wang, Xian Wu, Yefeng Zheng, Kam-Fai Wong:
JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialog Policy Learning. CoRR abs/2309.00230 (2023) - [i36]Huimin Wang, Wai-Chung Kwan, Kam-Fai Wong:
Dialog Action-Aware Transformer for Dialog Policy Learning. CoRR abs/2309.02240 (2023) - [i35]Bojia Zi, Xianbiao Qi, Lingzhi Wang, Jianan Wang, Kam-Fai Wong, Lei Zhang:
Delta-LoRA: Fine-Tuning High-Rank Parameters with the Delta of Low-Rank Matrices. CoRR abs/2309.02411 (2023) - [i34]Hongru Wang, Huimin Wang, Lingzhi Wang, Minda Hu, Rui Wang, Boyang Xue, Hongyuan Lu, Fei Mi, Kam-Fai Wong:
TPE: Towards Better Compositional Reasoning over Conceptual Tools with Multi-persona Collaboration. CoRR abs/2309.16090 (2023) - [i33]Liang Chen, Yang Deng, Yatao Bian, Zeyu Qin, Bingzhe Wu, Tat-Seng Chua, Kam-Fai Wong:
Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators. CoRR abs/2310.07289 (2023) - [i32]Boyang Xue, Weichao Wang, Hongru Wang, Fei Mi, Rui Wang, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong:
Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment. CoRR abs/2310.08372 (2023) - [i31]Hongru Wang, Minda Hu, Yang Deng, Rui Wang, Fei Mi, Weichao Wang, Yasheng Wang, Wai-Chung Kwan, Irwin King, Kam-Fai Wong:
Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogue. CoRR abs/2310.08840 (2023) - [i30]Zezhong Wang, Fangkai Yang, Lu Wang, Pu Zhao, Hongru Wang, Liang Chen, Qingwei Lin, Kam-Fai Wong:
Self-Guard: Empower the LLM to Safeguard Itself. CoRR abs/2310.15851 (2023) - [i29]Wai-Chung Kwan, Xingshan Zeng, Yufei Wang, Yusen Sun, Liangyou Li, Lifeng Shang, Qun Liu, Kam-Fai Wong:
M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models. CoRR abs/2310.19240 (2023) - [i28]Luyang Lin, Jing Li, Kam-Fai Wong:
Data-Augmented and Retrieval-Augmented Context Enrichment in Chinese Media Bias Detection. CoRR abs/2311.01372 (2023) - [i27]Liang Chen, Yatao Bian, Yang Deng, Shuaiyi Li, Bingzhe Wu, Peilin Zhao, Kam-Fai Wong:
X-Mark: Towards Lossless Watermarking Through Lexical Redundancy. CoRR abs/2311.09832 (2023) - [i26]Hongru Wang, Lingzhi Wang, Yiming Du, Liang Chen, Jingyan Zhou, Yufei Wang, Kam-Fai Wong:
A Survey of the Evolution of Language Model-Based Dialogue Systems. CoRR abs/2311.16789 (2023) - 2022
- [j67]Xingshan Zeng, Jing Li, Lingzhi Wang, Kam-Fai Wong:
Modeling Global and Local Interactions for Online Conversation Recommendation. ACM Trans. Inf. Syst. 40(3): 49:1-49:33 (2022) - [c159]Wenbo Shang, Jiangjiang Zhao, Zezhong Wang, Binyang Li, Fangchun Yang, Kam-Fai Wong:
"I Know Who You Are": Character-Based Features for Conversational Humor Recognition in Chinese. EMNLP (Findings) 2022: 2927-2932 - [c158]Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong:
Learning When and What to Quote: A Quotation Recommender System with Mutual Promotion of Recommendation and Generation. EMNLP (Findings) 2022: 3094-3105 - [c157]Zhiming Mao, Jian Li, Hongru Wang, Xingshan Zeng, Kam-Fai Wong:
DIGAT: Modeling News Recommendation with Dual-Graph Interaction. EMNLP (Findings) 2022: 6595-6607 - [c156]Hongru Wang, Huimin Wang, Zezhong Wang, Kam-Fai Wong:
Integrating Pretrained Language Model for Dialogue Policy Evaluation. ICASSP 2022: 6692-6696 - [c155]Hongru Wang, Mingyu Cui, Zimo Zhou, Kam-Fai Wong:
TopicRefine: Joint Topic Prediction and Dialogue Response Generation for Multi-turn End-to-End Dialogue System. ICNLSP 2022: 19-29 - [c154]Zezhong Wang, Hongru Wang, Wai-Chung Kwan, Kam-Fai Wong:
Prior Omission of Dissimilar Source Domain(s) for Cost-Effective Few-Shot Learning. ICNLSP 2022: 30-39 - [c153]Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Daxin Jiang, Kam-Fai Wong:
RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models. AACL/IJCNLP (1) 2022: 489-500 - [c152]Lingzhi Wang, Jing Li, Xingshan Zeng, Kam-Fai Wong:
Successful New-entry Prediction for Multi-Party Online Conversations via Latent Topics and Discourse Modeling. WWW 2022: 1663-1672 - [i25]Wai-Chung Kwan, Hongru Wang, Huimin Wang, Kam-Fai Wong:
A Survey on Recent Advances and Challenges in Reinforcement LearningMethods for Task-Oriented Dialogue Policy Learning. CoRR abs/2202.13675 (2022) - [i24]Lingzhi Wang, Shafiq R. Joty, Wei Gao, Xingshan Zeng, Kam-Fai Wong:
Improving Conversational Recommender System via Contextual and Time-Aware Modeling with Less Domain-Specific Knowledge. CoRR abs/2209.11386 (2022) - [i23]Zhiming Mao, Jian Li, Hongru Wang, Xingshan Zeng, Kam-Fai Wong:
DIGAT: Modeling News Recommendation with Dual-Graph Interaction. CoRR abs/2210.05196 (2022) - 2021
- [c151]Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong:
Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations. ACL/IJCNLP (2) 2021: 754-758 - [c150]Zhiming Mao, Xingshan Zeng, Kam-Fai Wong:
Neural News Recommendation with Collaborative News Encoding and Structural User Encoding. EMNLP (Findings) 2021: 46-55 - [c149]Lingzhi Wang, Xingshan Zeng, Huang Hu, Kam-Fai Wong, Daxin Jiang:
Re-entry Prediction for Online Conversations via Self-Supervised Learning. EMNLP (Findings) 2021: 2127-2137 - [c148]Huimin Wang, Kam-Fai Wong:
A Collaborative Multi-agent Reinforcement Learning Framework for Dialog Action Decomposition. EMNLP (1) 2021: 7882-7889 - [c147]Dingmin Wang, Chenghua Lin, Qi Liu, Kam-Fai Wong:
Fast and Scalable Dialogue State Tracking with Explicit Modular Decomposition. NAACL-HLT 2021: 289-295 - [i22]Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong:
Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations. CoRR abs/2105.14189 (2021) - [i21]Lingzhi Wang, Jing Li, Xingshan Zeng, Haisong Zhang, Kam-Fai Wong:
Continuity of Topic, Interaction, and Query: Learning to Quote in Online Conversations. CoRR abs/2106.09896 (2021) - [i20]Lingzhi Wang, Jing Li, Xingshan Zeng, Kam-Fai Wong:
Successful New-entry Prediction for Multi-Party Online Conversations via Latent Topics and Discourse Modeling. CoRR abs/2108.06975 (2021) - [i19]Hongru Wang, Zezhong Wang, Gabriel Pui Cheong Fung, Kam-Fai Wong:
MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging. CoRR abs/2108.11635 (2021) - [i18]Zhiming Mao, Xingshan Zeng, Kam-Fai Wong:
Neural News Recommendation with Collaborative News Encoding and Structural User Encoding. CoRR abs/2109.00750 (2021) - [i17]Lingzhi Wang, Xingshan Zeng, Huang Hu, Kam-Fai Wong, Daxin Jiang:
Re-entry Prediction for Online Conversations via Self-Supervised Learning. CoRR abs/2109.02020 (2021) - [i16]Hongru Wang, Mingyu Cui, Zimo Zhou, Gabriel Pui Cheong Fung, Kam-Fai Wong:
TopicRefine: Joint Topic Prediction and Dialogue Response Generation for Multi-turn End-to-End Dialogue System. CoRR abs/2109.05187 (2021) - [i15]Zezhong Wang, Hongru Wang, Wai-Chung Kwan, Jia Zhu, Gabriel Pui Cheong Fung, Kam-Fai Wong:
Prior Omission of Dissimilar Source Domain(s) for Cost-Effective Few-Shot Learning. CoRR abs/2109.05234 (2021) - [i14]Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Kam-Fai Wong, Daxin Jiang:
Finetuning Large-Scale Pre-trained Language Models for Conversational Recommendation with Knowledge Graph. CoRR abs/2110.07477 (2021) - [i13]Hongru Wang, Zhijing Jin, Jiarun Cao, Gabriel Pui Cheong Fung, Kam-Fai Wong:
Inconsistent Few-Shot Relation Classification via Cross-Attentional Prototype Networks with Contrastive Learning. CoRR abs/2110.08254 (2021) - [i12]Hongru Wang, Huimin Wang, Zezhong Wang, Kam-Fai Wong:
Integrating Pretrained Language Model for Dialogue Policy Learning. CoRR abs/2111.01398 (2021) - 2020
- [j66]Jing Ma, Wei Gao, Shafiq R. Joty, Kam-Fai Wong:
An Attention-based Rumor Detection Model with Tree-structured Recursive Neural Networks. ACM Trans. Intell. Syst. Technol. 11(4): 42:1-42:28 (2020) - [c146]Xingshan Zeng, Jing Li, Lu Wang, Zhiming Mao, Kam-Fai Wong:
Dynamic Online Conversation Recommendation. ACL 2020: 3331-3341 - [c145]Huimin Wang, Baolin Peng, Kam-Fai Wong:
Learning Efficient Dialogue Policy from Demonstrations through Shaping. ACL 2020: 6355-6365 - [c144]Lingzhi Wang, Jing Li, Xingshan Zeng, Haisong Zhang, Kam-Fai Wong:
Continuity of Topic, Interaction, and Query: Learning to Quote in Online Conversations. EMNLP (1) 2020: 6640-6650 - [c143]Hongru Wang, Xiangru Tang, Sunny Lai, Kwong-Sak Leung, Jia Zhu, Gabriel Pui Cheong Fung, Kam-Fai Wong:
CUHK at SemEval-2020 Task 4: CommonSense Explanation, Reasoning and Prediction with Multi-task Learning. SemEval@COLING 2020: 391-400 - [e7]Kam-Fai Wong, Kevin Knight, Hua Wu:
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, AACL/IJCNLP 2020, Suzhou, China, December 4-7, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-91-0 [contents] - [i11]