Suivre
Lingzhi Wang
Titre
Citée par
Citée par
Année
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
272021
Coupling global and local context for unsupervised aspect extraction
M Liao, J Li, H Zhang, L Wang, X Wu, KF Wong
EMNLP-2019, 2019
272019
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
192021
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
152023
Opportunities and challenges in neural dialog tutoring
J Macina, N Daheim, L Wang, T Sinha, M Kapur, I Gurevych, M Sachan
EACL-2023, 2023
132023
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
102020
Modeling Global and Local Interactions for Online Conversation Recommendation
X Zeng, J Li, L Wang, KF Wong
ACM TOIS-2021, 2021
92021
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
82023
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, 2023
82023
Strategize Before Teaching: A Conversational Tutoring System with Pedagogy Self-Distillation
L Wang, M Sachan, X Zeng, KF Wong
EACL-2023 Findings, 2023
72023
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
arXiv preprint arXiv:2209.11386, 2022
62022
Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations
L Wang, X Zeng, KF Wong
ACL-2021, 2021
62021
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
42023
Re-entry Prediction for Online Conversations via Self-Supervised Learning
L Wang, X Zeng, H Hu, KF Wong, D Jiang
EMNLP-2021 Findings, 2021
42021
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
32023
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
32023
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
32022
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
22024
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
22024
Learning When and What to Quote: A Quotation Recommender System with Mutual Promotion of Recommendation and Generation
L Wang, X Zeng, KF Wong
EMNLP-2022 Findings, 2022
22022
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