Liu, Yinhan
Meta (United States)
9 papers on CoChat
Most cited papers
- Verified
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Lewis, M., Liu, Y., Goyal, N., Ghazvininejad, M., Mohamed, A., Levy, O., Stoyanov, V., & Zettlemoyer, L. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Topic ModelingNatural Language Processing Techniques
Cited by 8,821
- Verified
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Lewis, M., Liu, Y., Goyal, N., Ghazvininejad, M., Mohamed, A., Levy, O., Stoyanov, V., & Zettlemoyer, L. (2019) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 8,816
- Verified
SpanBERT: Improving Pre-training by Representing and Predicting Spans
Joshi, M., Chen, D., Liu, Y., Weld, D. S., Zettlemoyer, L., & Levy, O. (2019) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 1,827
- Verified
SpanBERT: Improving Pre-training by Representing and Predicting Spans
Joshi, M., Chen, D., Liu, Y., Weld, D. S., Zettlemoyer, L., & Levy, O. (2020) · Transactions of the Association for Computational Linguistics
Topic ModelingNatural Language Processing Techniques
Cited by 1,827
- Verified
Recipes for building an open-domain chatbot
Roller, S., Dinan, E., Goyal, N., Ju, D., Williamson, M., Liu, Y., Xu, J., Ott, M., Shuster, K., Smith, E. M., et al. (2020) · arXiv
Speech and dialogue systemsTopic Modeling
Cited by 784
- Verified
Recipes for Building an Open-Domain Chatbot
Roller, S., Dinan, E., Goyal, N., Ju, D., Williamson, M., Liu, Y., Xu, J., Ott, M., Smith, E. M., Boureau, Y.-L., et al. (2021) · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
Speech and dialogue systemsTopic Modeling
Cited by 784
- Verified
Mask-Predict: Parallel Decoding of Conditional Masked Language Models
Ghazvininejad, M., Levy, O., Liu, Y., & Zettlemoyer, L. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
Natural Language Processing TechniquesTopic Modeling
Cited by 464
- Verified
Cloze-driven Pretraining of Self-attention Networks
Baevski, A., Edunov, S., Liu, Y., Zettlemoyer, L., & Auli, M. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
Topic ModelingNatural Language Processing Techniques
Cited by 215
- Verified
Cloze-driven Pretraining of Self-attention Networks
Baevski, A., Edunov, S., Liu, Y., Zettlemoyer, L., & Auli, M. (2019) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 215
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