Zhou, Bowen
Tsinghua University
9 papers on CoChatORCID 0000-0003-1062-9526
Most cited papers
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Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond
Nallapati, R., Zhou, B., dos Santos, C., Gulcehre, C., & Xiang, B. (2016) · Proceedings of The 20th SIGNLL Conference on Computational Natural Language Learning
Topic ModelingAdvanced Text Analysis Techniques
Cited by 2,361
- Verified
A Structured Self-attentive Sentence Embedding
Lin, Z., Feng, M., Santos, C. N. D., Yu, M., Xiang, B., Zhou, B., & Bengio, Y. (2017) · arXiv
Topic ModelingSentiment Analysis and Opinion Mining
Cited by 1,743
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End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion
Shang, C., Tang, Y., Huang, J., Bi, J., He, X., & Zhou, B. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence
Advanced Graph Neural NetworksTopic Modeling
Cited by 725
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Trustworthy AI: From Principles to Practices
Li, B., Qi, P., Liu, B., Di, S., Liu, J., Pei, J., Yi, J., & Zhou, B. (2023) · ACM Computing Surveys
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 612
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R3: Reinforced Ranker-Reader for Open-Domain Question Answering
Wang, S., Yu, M., Guo, X., Wang, Z., Klinger, T., Zhang, W., Chang, S., Tesauro, G., Zhou, B., & Jiang, J. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence
Topic ModelingInformation Retrieval and Search Behavior
Cited by 351
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Select, Answer and Explain: Interpretable Multi-Hop Reading Comprehension over Multiple Documents
Tu, M., Huang, K., Wang, G., Huang, J., He, X., & Zhou, B. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence
Topic ModelingInformation Retrieval and Search Behavior
Cited by 136
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Enhancing Chat Language Models by Scaling High-quality Instructional Conversations
Ding, N., Chen, Y., Xu, B., Qin, Y., Hu, S., Liu, Z., Sun, M., & Zhou, B. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Speech and dialogue systemsTopic Modeling
Cited by 130
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SAM struggles in concealed scenes — empirical study on “Segment Anything”
Ji, G.-P., Fan, D.-P., Xu, P., Zhou, B., Cheng, M.-M., & Van Gool, L. (2023) · Science China Information Sciences
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 101
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Conversational AI Systems for Social Good: Opportunities and Challenges
Qi, P., Huang, J., Wu, Y., He, X., & Zhou, B. (2021) · arXiv
Speech and dialogue systemsEthics and Social Impacts of AI
Cited by 3
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