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Results: 10
Number of items: 10
  • Open Access
    Kiseleva, J., Skrynnik, A., Zholus, A., Mohanty, S., Arabzadeh, N., Côté, M.-A., Aliannejadi, M., Teruel, M., Li, Z., Burtsev, M., ter Hoeve, M., Volovikova, Z., Panov, A., Sun, Y., Srinet, K., Szlam, A., Awadallah, A., Rho, S., Kwon, T., ... Guo, Z. (2023). Interactive Grounded Language Understanding in a Collaborative Environment: Retrospective on Iglu 2022 Competition. Proceedings of Machine Learning Research, 220, 204-216. https://doi.org/10.48550/arXiv.2205.13771
  • Open Access
    Kiseleva, J., Li, Z., Aliannejadi, M., Mohanty, S., ter Hoeve, M., Burtsev, M., Skrynnik, A., Zholus, A., Panov, A., Srinet, K., Szlam, A., Sun, Y., Côté, M.-A., Hofmann, K., Awadallah, A., Abdrazakov, L., Churin, I., Manggala, P., Naszadi, K., ... Kim, T. (2022). Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021. Proceedings of Machine Learning Research, 176, 146-161. https://doi.org/10.48550/arXiv.2205.02388
  • Li, Z., Kiseleva, Y., & de Rijke, M. (2021). Improving Response Quality with Backward Reasoning in Open-domain Dialogue Systems. In SIGIR '21: proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 11-15, 2021, virtual event, Canada (pp. 1940-1944). Association for Computing Machinery. https://doi.org/10.1145/3404835.3463004
  • Open Access
    Li, Z., Kiseleva, J., & de Rijke, M. (2020). Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems. In T. Cohn, Y. He, & Y. Liu (Eds.), Findings of the Association for Computational Linguistics. Findings of ACL: EMNLP 2020: 16-20 November, 2020 (pp. 3537–3546). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.findings-emnlp.316
  • Open Access
    Li, Z., Kiseleva, Y., Agarwal, A., de Rijke, M., & White, R. W. (2020). Optimizing Interactive Systems via Data-Driven Objectives. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2006.12999
  • Open Access
    Li, Z., Lee, S., Peng, B., Li, J., Kiseleva, J., de Rijke, M., Shayandeh, S., & Gao, J. (2020). Guided Dialogue Policy Learning without Adversarial Learning in the Loop. In T. Cohn, Y. He, & Y. Liu (Eds.), Findings of the Association for Computational Linguistics. Findings of ACL: EMNLP 2020: 16-20 November, 2020 (pp. 2308–2317). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.findings-emnlp.209
  • Open Access
    Li, Z. (2020). Optimizing interactive systems with data-driven objectives. [Thesis, fully internal, Universiteit van Amsterdam].
  • Li, Z., Kiseleva, J., & de Rijke, M. (2019). Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning. In Thirty-Third AAAI Conference on Artificial Intelligence, Thirty-First Conference on Innovative Applications of Artificial Intelligence, The Ninth Symposium on Educational Advances in Artificial Intelligence: AAAI-19, IAAI-19, EAAI-20 : January 27-February 1, 2019, Hilton Hawaiian Village, Honolulu, Hawaii, USA (pp. 6722-6729). (Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 33). AAAI Press. https://doi.org/10.1609/aaai.v33i01.33016722
  • Li, Z., & de Rijke, M. (2017). The impact of linkage methods in hierarchical clustering for active learning to rank. In SIGIR'17 : proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval: August 7-11, 2017, Shinjuku, Tokyo, Japan (pp. 941-944). Association for Computing Machinery. https://doi.org/10.1145/3077136.3080684
  • Open Access
    Li, Z., Kiseleva, J., de Rijke, M., & Grotov, A. (2017). Towards learning reward functions from user interactions. In ICTIR'17: proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval: October 1-4, 2017, Amsterdam, the Netherlands (pp. 289-292). Association for Computing Machinery. https://doi.org/10.1145/3121050.3121098
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