Publications

(2024). Unsupervised Multilingual Dense Retrieval via Generative Pseudo Labeling. *Pro- ceedings of the 18th Conference of the European Chapter of the Association for Com- putational Linguistics *.

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(2024). Investigating Decoder-only Large Language Models for Speech-to-text Translation. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH.

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(2024). InstUPR: Instruction-based Unsupervised Passage Reranking with Large Language Models. arXiv preprint arXiv:2403.16435.

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(2023). CONVERSER: Few-shot Conversational Dense Retrieval with Synthetic Data Generation. Proceedings of the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue.

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(2023). Visually-Enhanced Phrase Understanding. Findings of the Association for Computational Linguistics: ACL 2023.

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(2022). PLM-ICD: Automatic ICD Coding with Pretrained Language Models. Proceedings of the 4th Clinical Natural Language Processing Workshop.

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(2022). Open-Domain Conversational Question Answering with Historical Answers. Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022.

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(2022). Miutsu: NTU's TaskBot for the Alexa Prize. arXiv preprint arXiv:2205.07446.

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(2022). Controllable User Dialogue Act Augmentation for Dialogue State Tracking. Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue.

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(2021). Modeling Diagnostic Label Correlation for Automatic ICD Coding. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

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(2020). Learning Spoken Language Representations with Neural Lattice Language Modeling. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.

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(2020). Towards Unsupervised Language Understanding and Generation by Joint Dual Learning. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020).

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(2020). RAP-Net: Recurrent attention pooling networks for dialogue response selection. Computer Speech & Language.

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(2020). Overview of the ninth dialog system technology challenge: Dstc9. arXiv preprint arXiv:2011.06486.

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(2020). Learning multi-level information for dialogue response selection by highway recurrent transformer. Computer Speech & Language.

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(2020). Learning asr-robust contextualized embeddings for spoken language understanding. ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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(2019). Dual Supervised Learning for Natural Language Understanding and Generation. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019).

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(2019). Adapting pretrained transformer to lattices for spoken language understanding. 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

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