About Me
I am a 2nd-year PhD student at University of Tokyo.
Research Interests
- Multi-agent Reinforcement Learning: Cooperation in Decentralized Manner
- Computational Social Science: Application of ML for Social Science
- LLM for Behavior Understanding: Replication of Human Behavior and Utilizing Common Sense Reasoning
News
- [Mar. 2026] Received Young Researcher Award (21/517 top 4%) at NLP 2026.
- [Mar. 2026] Our paper on Masked Diffusion Language Models has been selected for oral presentation at NLP 2026 (32 out of 799 submissions).
- [Feb. 2026] Release new preprint on Masked Diffusion Language Models.
- [Sep. 2025] Our paper on LLM’s self-reflection has been accepted to NeurIPS 2025.
Education
- D.Sc in Graduate School of Arts and Sciences, The University of Tokyo (2024.4-present)
- M.S in Graduate School of Interdisciplinary Information Studies, The University of Tokyo (2022.4-2024.3)
- B.E in Systems Innovation, Faculty of Engineering, The University of Tokyo (2019.4-2022.3)
Job Experiences
- OMRON SINIC X Corporation, Research Intern (2025.12-2026.3)
- CyberAgent AI Lab, Part-time Researcher (2023.10-2025.10)
- OMRON SINIC X Corporation, Research Intern (2022.3-2023.8)
- OMRON SINIC X Corporation, Research Intern (2020.8-2020.9)
Publications
- Hikaru Asano, Tadashi Kozuno, Yukino Baba, "Self Iterative Label Refinement via Robust Unlabeled Learning", The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025, (poster, acceptance rate 24.5%)
paper
- Hikaru Asano, Hiroki Ouchi, Taiki Sekii, Ryo Yonetani, "Text2Traj2Text: Learning-by-Synthesis Framework for Contextual Captioning of Human Movement Trajectories", International Natural Language Generation Conference (INLG), 2024, (long paper)
paper
- Eiko Matsuda, Hikaru Asano, Tomoyuki Yuzawa, Osamu Sakura, "Quantitative and Qualitative Analyses on Child's Animate Tendency", Cognitive feelings: Towards multi-disciplinary approaches for realizing artificial systems with cognitive capacities (ALIFE 2023 workshop), 2023
- Hikaru Asano, Osamu Sakura, "Rashomon Bound Regression: a Reproducible and Explorable Method for Regression-Based Analysis", International Conference on Computational Social Science (IC2S2), 2023, (poster)
- Hikaru Asano, Ryo Yonetani, Mai Nishimura, Tadashi Kozuno, "Counterfactual Fairness Filter for Fair-Delay Multi-Robot Navigation", International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2023, (oral, acceptance rate 23.3%)
paper
- Hikaru Asano, Tadashi Kozuno, Kuniaki Saito, Yukino Baba, "Where-to-Unmask: Ground-Truth-Guided Unmasking Order Learning for Masked Diffusion Language Models", arXiv preprint, 2026
paper
- Hikaru Asano, Hiroki Ouchi, Akira Kasuga, Ryo Yonetani, "MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering", arXiv preprint, 2025
paper
- Hikaru Asano, "Sequential Bayesian experimental designs via reinforcement learning", arXiv preprint, 2022
paper
Awards and Honors
- Research RA in Value Exchange Engineering by RIISE@UTokyo, 2,000,000 yen, 2023-2024.
- The foundation Matsuo Scholarship Society, Scholarship and commuting expenses grant, free accommodation in student dormitories, provision of meals (free), health insurance expenses grant, total amount granted: approximately 5,000,000 yen, 2019-2023.
- Young Researcher Award (21/517), The 32nd Annual Meeting of the Association for Natural Language Processing@Japan, 2026.
- Hatakeyama Prize, Tomakomai National Institute of Technology, 2019.
Academic Services
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