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Results: 3
Number of items: 3
  • Open Access
    Jiang, S., Wolf, T., Monz, C., & de Rijke, M. (2020). TLDR: Token Loss Dynamic Reweighting for Reducing Repetitive Utterance. (v2 ed.) ArXiv. https://doi.org/10.48550/arXiv.2003.11963
  • Open Access
    Jiang, S., Ren, P., Monz, C., & de Rijke, M. (2019). Improving Neural Response Diversity with Frequency-Aware Cross-Entropy Loss. In The Web Conference 2019: proceedings of the World Wide Web Conference WWW 2019 : May 13-17, 2019, San Francisco, CA, USA (pp. 2879-2885). Association for Computing Machinery. https://doi.org/10.1145/3308558.3313415
  • Open Access
    Jiang, S., & de Rijke, M. (2018). Why are Sequence-to-Sequence Models So Dull? Understanding the Low-Diversity Problem of Chatbots. In A. Chuklin, J. Dalton, J. Kiseleva, A. Borisov, & M. Burtsev (Eds.), Search-Oriented Conversational AI (SCAI): EMNLP 2018 : Proceedings of the 2018 EMNLP Workshop SCAI: The 2nd International Workshop on Search-Oriented Conversational AI : October 31, 2018, Brussels, Belgium (pp. 81-86). Association for Computational Linguistics. https://doi.org/10.48550/arXiv.1809.01941, https://doi.org/10.18653/v1/W18-5712
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