Wong, Kam-Fai
Chinese University of Hong Kong
9 papers on CoChatORCID 0000-0002-9427-5659
Most cited papers
- Verified
Interpreting TF-IDF term weights as making relevance decisions
Wu, H. C., Luk, R. W. P., Wong, K. F., & Kwok, K. L. (2008) · ACM Transactions on Information Systems
Information Retrieval and Search BehaviorAdvanced Text Analysis Techniques
Cited by 821
- Verified
Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs
Wang, H., Wang, R., Mi, F., Deng, Y., Wang, Z., Liang, B., Xu, R., & Wong, K.-F. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023
Speech and dialogue systemsTopic Modeling
Cited by 38
- Verified
KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment
Wang, L., Chen, T., Yuan, W., Zeng, X., Wong, K.-F., & Yin, H. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning
Cited by 25
- Verified
Enhancing Large Language Models Against Inductive Instructions with Dual-critique Prompting
Wang, R., Wang, H., Mi, F., Xue, B., Chen, Y., Wong, K.-F., & Xu, R. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Topic ModelingNatural Language Processing Techniques
Cited by 4
- Verified
Enhancing Large Language Models Against Inductive Instructions with Dual-critique Prompting
Wang, R., Wang, H., Mi, F., Chen, Y., Xue, B., Wong, K.-F., & Xu, R. (2023) · arXiv
Adversarial Robustness in Machine LearningTopic Modeling
Cited by 2
- Verified
Acting Less is Reasoning More! Teaching Model to Act Efficiently
Wang, H., Qian, C., Zhong, W., Chen, X., Qiu, J., Huang, S., Jin, B., Wang, M., Wong, K.-F., & Ji, H. (2025) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 1
- Verified
PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Synthesis in Question Answering
Du, Y., Wang, H., Zhao, Z., Liang, B., Wang, B., Zhong, W., Wang, Z., & Wong, K.-F. (2024) · arXiv
Topic ModelingInformation Retrieval and Search Behavior
Cited by 1
- Verified
Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models
Wang, R., Wang, H., Xue, B., Li, Y., Pang, J., Liu, S., Chen, Y., Qiu, J., Wong, D. F., Chen, G., et al. (2025) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 0
- Verified
Mitigating Context Interference for Reliable and Efficient Search Agents
Xue, B., Wu, B., Qiao, S., Wang, S., Wang, R., Du, Y., Wang, H., Pan, J. Z., Yilmaz, E., Wong, K.-F., et al. (2026) · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Information Retrieval and Search BehaviorTopic Modeling
Cited by 0
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