Search results
Results: 13
Number of items: 13
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Sun, X., Wang, L., Li, Y., Li, J., Poesio, M., Frommel, J., Hindriks, K., & Pei, J. (2025). Talking-to-Build: How LLM-Assisted Interface Shapes Player Performance and Experience in Minecraft. In ICMI '25: Proceedings of the 27th International Conference on Multimodal Interaction : October 13-17, 2025, Canberra, Australia (pp. 682-692). Association for Computing Machinery. https://doi.org/10.1145/3716553.3756015 -
Sun, X., De Wit, J., Li, Z., Pei, J., El Ali, A., & Bosch, J. A. (2025). Script-Strategy Aligned Generation: Aligning LLMs with Expert-Crafted Dialogue Scripts and Therapeutic Strategies for Psychotherapy. Proceedings of the ACM on Human-Computer Interaction, 9(7), Article CSCW474. https://doi.org/10.1145/3757655 -
Sun, X., Tang, X., El Ali, A., Li, Z., Ren, P., de Wit, J., Pei, J., & Bosch, J. A. (2025). Rethinking the Alignment of Psychotherapy Dialogue Generation with Motivational Interviewing Strategies. In O. Rambow, L. Wanner, M. Apidianaki, H. Al-Khalifa, B. Di Eugenio, & S. Schockaert (Eds.), The 31st International Conference on Computational Linguistics : proceedings of the main conference: COLING 2025 : January 19-24, 2025 (pp. 1983-2002). Association for Computational Linguistics. https://aclanthology.org/2025.coling-main.136/ -
Sun, X., Pei, J., de Wit, J., Aliannejadi, M., Krahmer, E., Dobber, J. T. P., & Bosch, J. A. (2024). Eliciting Motivational Interviewing Skill Codes in Psychotherapy with LLMs: A Bilingual Dataset and Analytical Study. In N. Calzolari, M.-Y. Kan, V. Hoste, A. Lenci, S. Sakti, & N. Xue (Eds.), The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024): main conference proceedings : 20-25 May, 2024, Torino, Italia (pp. 5609-5621). (COLING), (LREC). ELRA Language Resources Association. https://aclanthology.org/2024.lrec-main.498/ -
Wang, B., Xie, Q., Pei, J., Chen, Z., Tiwari, P., Li, Z., & Fu, J. (2023). Pre-trained Language Models in Biomedical Domain: A Systematic Survey. ACM Computing Surveys, 56(3), Article 55. https://doi.org/10.1145/3611651
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Pei, J., Wang, C., & Szarvas, G. (2022). Transformer Uncertainty Estimation with Hierarchical Stochastic Attention. In K. Sycara, V. Honavar, & M. Spaan (Eds.), Proceedings of the 36th AAAI Conference on Artificial Intelligence: AAAI-22 : virtual conference, Vancouver, Canada, February 22-March 1, 2022 (Vol. 10, pp. 11147-11155). AAAI Press. https://doi.org/10.48550/arXiv.2112.13776, https://doi.org/10.1609/aaai.v36i10.21364 -
Yan, G., Pei, J., Ren, P., Chen, Z., Ren, Z., & Liang, H. (2021). M2-MedDialog: A Dataset and Benchmarks for Multi-domain Multi-service Medical Dialogues. (v3 ed.) ArXiv. https://doi.org/10.48550/arXiv.2109.00430 -
Pei, J., Ren, P., & de Rijke, M. (2021). A Cooperative Memory Network for Personalized Task-oriented Dialogue Systems with Incomplete User Profiles. In The Web Conference 2021: proceedings of the World Wide Web Conference WWW 2021 : April 19-23, 2021, Ljubljana, Slovenia (pp. 1552-1561). Association for Computing Machinery. https://doi.org/10.1145/3442381.3449843 -
Pei, J., Ren, P., Monz, C., & de Rijke, M. (2020). Retrospective and Prospective Mixture-of-Generators for Task-oriented Dialogue Response Generation. In G. De Giacomo, A. Catala, B. Dilkina, M. Milano, S. Barro, A. BugarÃn, & J. Lang (Eds.), ECAI 2020: 24th European Conference on Artificial Intelligence : 29 August-8 September 2020, Santiago de Compostela, Spain, including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020) : proceedings (pp. 2148-2155). ( Frontiers in Artificial Intelligence and Applications; Vol. 325). IOS Press. https://doi.org/10.3233/FAIA200339
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