| KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment L Wang, T Chen, W Yuan, X Zeng, KF Wong, H Yin ACL-2023, 2023 | 31 | 2023 |
| Finetuning large-scale pre-trained language models for conversational recommendation with knowledge graph L Wang, H Hu, L Sha, C Xu, KF Wong, D Jiang arXiv preprint arXiv:2110.07477, 2021 | 30 | 2021 |
| Coupling global and local context for unsupervised aspect extraction M Liao, J Li, H Zhang, L Wang, X Wu, KF Wong EMNLP-2019, 2019 | 29 | 2019 |
| Recindial: A unified framework for conversational recommendation with pretrained language models L Wang, H Hu, L Sha, C Xu, KF Wong, D Jiang arXiv preprint arXiv:2110.07477, 2021 | 23 | 2021 |
| Opportunities and challenges in neural dialog tutoring J Macina, N Daheim, L Wang, T Sinha, M Kapur, I Gurevych, M Sachan EACL-2023, 2023 | 17 | 2023 |
| Delta-lora: Fine-tuning high-rank parameters with the delta of low-rank matrices B Zi, X Qi, L Wang, J Wang, KF Wong, L Zhang arXiv preprint arXiv:2309.02411, 2023 | 13 | 2023 |
| Continuity of topic, interaction, and query: Learning to quote in online conversations L Wang, J Li, X Zeng, H Zhang, KF Wong EMNLP-2020, 2020 | 10 | 2020 |
| Modeling Global and Local Interactions for Online Conversation Recommendation X Zeng, J Li, L Wang, KF Wong ACM TOIS-2021, 2021 | 9 | 2021 |
| Strategize Before Teaching: A Conversational Tutoring System with Pedagogy Self-Distillation L Wang, M Sachan, X Zeng, KF Wong EACL-2023 Findings, 2023 | 8 | 2023 |
| Improving conversational recommender system via contextual and time-aware modeling with less domain-specific knowledge L Wang, S Joty, W Gao, X Zeng, KF Wong IEEE TKDE, 2024 | 7 | 2024 |
| A comprehensive survey on deep learning for relation extraction: Recent advances and new frontiers X Zhao, Y Deng, M Yang, L Wang, R Zhang, H Cheng, W Lam, Y Shen, ... arXiv preprint arXiv:2306.02051, 2023 | 6 | 2023 |
| Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations L Wang, X Zeng, KF Wong ACL-2021, 2021 | 6 | 2021 |
| Selective forgetting: Advancing machine unlearning techniques and evaluation in language models L Wang, X Zeng, J Guo, KF Wong, G Gottlob arXiv preprint arXiv:2402.05813, 2024 | 5 | 2024 |
| A comprehensive survey on deep learning for relation extraction: Recent advances and new frontiers Z Xiaoyan, D Yang, Y Min, W Lingzhi, Z Rui, C Hong, L Wai, S Ying, ... arXiv preprint arXiv:2306.02051 1, 2023 | 5 | 2023 |
| Successful New-entry Prediction for Multi-Party Online Conversations via Latent Topics and Discourse Modeling L Wang, J Li, X Zeng, KF Wong WWW-2022, 2022 | 5 | 2022 |
| Re-entry Prediction for Online Conversations via Self-Supervised Learning L Wang, X Zeng, H Hu, KF Wong, D Jiang EMNLP-2021 Findings, 2021 | 5 | 2021 |
| IndiVec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias Indicators L Lin, L Wang*, X Zhao, J Li, KF Wong EACL 2024, 2024 | 4 | 2024 |
| A survey of the evolution of language model-based dialogue systems H Wang, L Wang, Y Du, L Chen, J Zhou, Y Wang, KF Wong arXiv preprint arXiv:2311.16789, 2023 | 4 | 2023 |
| Tpe: Towards better compositional reasoning over conceptual tools with multi-persona collaboration H Wang, H Wang, L Wang, M Hu, R Wang, B Xue, H Lu, F Mi, KF Wong arXiv preprint arXiv:2309.16090, 2023 | 4 | 2023 |
| Quotation recommendation for multi-party online conversations based on semantic and topic fusion L Wang, X Zeng, KF Wong ACM Transactions on Information Systems 41 (4), 1-27, 2023 | 3 | 2023 |
kam-Fai Wongchinese university of hong kong在 se.cuhk.edu.hk 的电子邮件经过验证
