Research output per year
Research output per year
Search results
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2024
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 volume › Conference contribution › Scientific › peer-review
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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 volume › Conference contribution › Scientific › peer-review
Open AccessFile15 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 volume › Conference contribution › Scientific › peer-review
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2022
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 volume › Conference contribution › Scientific › peer-review
Open AccessFile3 Downloads (Pure) -
Unsupervised Domain Adaptation for Question Generation with Domain Data Selection and Self-training
Zhu, P. & Hauff, C., 2022, Findings of the Association for Computational Linguistics: NAACL 2022: NAACL 2022 - Findings. Association for Computational Linguistics (ACL), p. 2388-2401 14 p. (Findings of the Association for Computational Linguistics: NAACL 2022 - Findings).Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile1 Citation (Scopus)44 Downloads (Pure) -
2021
Evaluating BERT-based Rewards for Question Generation with Reinforcement Learning
Zhu, P. & Hauff, C., 2021, ICTIR 2021 - Proceedings of the 2021 ACM SIGIR International Conference on Theory of Information Retrieval. Association for Computing Machinery (ACM), p. 261-270 10 p. (ICTIR 2021 - Proceedings of the 2021 ACM SIGIR International Conference on Theory of Information Retrieval).Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
1 Citation (Scopus) -
Improving Long Content Question Generation with Multi-level Passage Encoding
Zhu, P., 2021, PRICAI 2021: Trends in Artificial Intelligence - 18th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2021, Proceedings. Pham, D. N., Theeramunkong, T., Governatori, G. & Liu, F. (eds.). Part II ed. Cham: Springer, p. 140-152 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13032 ).Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review