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P. Zhu

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  • MRHF: Multi-stage Retrieval and Hierarchical Fusion for Textbook Question Answering

    Zhu, P., Wang, Z., Okumura, M. & Yang, J., 2024, MultiMedia Modeling - 30th International Conference, MMM 2024, Proceedings. Rudinac, S., Worring, M., Liem, C., Hanjalic, A., Jónsson, B. P., Yamakata, Y. & Liu, B. (eds.). Springer, p. 98-111 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14555 LNCS).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  • On the Effects of Automatically Generated Adjunct Questions for Search as Learning

    Zhu, P., Câmara, A., Roy, N., Maxwell, D. & Hauff, C., 2024, CHIIR 2024 - Proceedings of the 2024 Conference on Human Information Interaction and Retrieval. Association for Computing Machinery (ACM), p. 266-277 12 p. (CHIIR 2024 - Proceedings of the 2024 Conference on Human Information Interaction and Retrieval).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    Open Access
    File
    18 Downloads (Pure)
  • Towards Cross-Modal Point Cloud Retrieval for Indoor Scenes

    Yu, F., Wang, Z., Li, D., Zhu, P., Liang, X., Wang, X. & Okumura, M., 2024, MultiMedia Modeling - 30th International Conference, MMM 2024, Proceedings. Rudinac, S., Worring, M., Liem, C., Hanjalic, A., Jónsson, B. P., Yamakata, Y. & Liu, B. (eds.). Cham: Springer, p. 89-102 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14557 LNCS).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  • Towards Robust Automatic Question Generation For Learning

    Zhu, P., 2024, 165 p.

    Research output: ThesisDissertation (TU Delft)

    Open Access
    File
    63 Downloads (Pure)
  • Answer Quality Aware Aggregation for Extractive QA Crowdsourcing

    Zhu, P., Wang, Z., Yang, J., Hauff, C. & Anand, A., 2022, Findings of the Association for Computational Linguistics: EMNLP 2022. Association for Computational Linguistics (ACL), p. 6147-6159 13 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    Open Access
    File
    7 Downloads (Pure)