Bio

Hi there! This is Qiyu Wu, a Research Scientist on the Multimodal NLP team at Creative AI Lab, Sony. We conduct language-centric multimodal research to enhance content creation in music, film, and games. Feel free to contact for discussion or collaboration!

Before joining Sony, I received my Ph.D. from The University of Tokyo, advised by Yoshimasa Tsuruoka and supported by JSPS DC Fellowship. I have served as an Area Chair for ACL Rolling Review and NeurIPS, and as a program committee member (reviewer) for several top-tier conferences including ACL, EMNLP, NAACL, ICLR, NeurIPS, and ICML. Additionally, I co-organized the GenProCC Workshop at NeurIPS 2025. Here is my CV. Reach out to me by wuqiyu576 [AT] gmail [DOT] com, or LinkedIn.

Research Interests

My research focus lies in Multimodal NLP, mainly encompassing multimodal LLMs as well as better representing textual semantics in both monolingual and multilingual contexts. I have published papers More at conferences such as ACL, EMNLP, NAACL, ICLR, ICML, AAAI, EACL, VLDB, etc.

News

• 2026-05, a paper on schema-guided world modeling for hierarchical visual dynamics is accepted to ICML 2026, and Reinforcement Learning from Bagged Reward is selected for the ICML 2026 Poster Track.
• 2026-05, serve as Area Chair for NeurIPS 2026.
• 2026-04, a paper on generative reasoning for machine translation evaluation is accepted to ACL 2026.
• 2026-01, papers on VIRTUE and LLM2Fx-Tools are accepted to ICLR 2026, and BREAK-THE-BEAT! is accepted to ICASSP 2026.
• 2025-12, co-organized GenProCC Workshop at NeurIPS 2025.
• 2025-07, a paper on multimodal music understanding accepted to EMNLP 2025.
• 2025-05, a paper on word alignment is accepted to ACL findings.
• 2025-04, a paper on Reinforcement Learning from Bagged Reward is accepted to Transactions on Machine Learning Research.
• 2025-02, serve as Area Chair for ACL Rolling Review.
• 2024-10, I join Sony Creative AI Lab, I’ll mainly work on multi-modal representation learning.
• 2024-09, a long paper on word-level preference for machine translation is accepted to EMNLP 2024 main conference (Oral).
• 2024-04, a paper on generalized diffusion model is accepted to ICML 2024.
• 2024-03, a paper on low-resource language sentence embedding accepted to NAACL 2024 findings.
• 2024-01, a long paper on multilingual sentence embedding accepted to EACL 2024 main conference.
• 2023-11, just visited and gave talks at Osaka University and Kyoto University, “Mitigating Reporting Bias in Visual- Language Datasets w/ Large Generative Models”. [Slides]
• 2023-09, I’m fortunate to be selected as Research Fellowships for Young Scientists (DC2), JSPS!
• 2023-08, a paper collaborated with HKUST about entity matching is accepted to VLDB 2024.
• 2023-07, attending ACL 2023 in Toronto, will present WSPAlign in-person.
• 2023-06, give a talk at Sony, “Leveraging Unlabeled Text: Data-centric Approaches to Improve NLP Training”. [Slides]
• 2023-06, start my internship at Creative AI Lab, Sony, Tokyo, I will work on NLP for multi-modal training.
• 2023-05, a long paper with NTT CS lab about word alignment is accepted to ACL 2023 main conference.
• 2023-01, start visiting San Diego as a visiting student at UCSD.
• 2022-12, attend EMNLP 2022 at Abu Dhabi, will present a paper about diverse augmentations for sentence embeddings.
• 2022-10, a long paper with Microsoft accepted to EMNLP 2022 conference.
• 2021-10, I join Tsuruoka Lab at University of Tokyo as PhD student!
• 2021-10, I am glad to be selected to be supported by JST Support for Pioneering Research Initiated by the Next Generation (SPRING) Program from 2021 to 2024!
• 2021-04, invited talk at TechBeat, “Light language pre-training”. [Slides]
• 2021-01, a paper with Microsoft Research Asia about language pre-training is accepted to ICLR 2021.
• 2020-12, a paper with Baidu Research is accepted to AAAI 2021.
• 2020-04, start internship at Machine Learning Group, Microsoft Research Asia, Beijing.