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    • 指値配分を連続確率分布化した深層学習によるマーケットメイキング

      久保 健治, 中川 慧

      金融情報学研究会第35回研究会(SIG-FIN 2025), 2025巻 FIN-035 号 p. 142-148

    • 日本株式市場におけるLLMを用いたサプライズ抽出と決算後ドリフトの実証分析

      種村 賢飛, 久保 健治, 中川 慧

      金融情報学研究会第35回研究会(SIG-FIN 2025), 2025巻 FIN-035号, pp.157-163.

    • KokushiMD-10: Benchmark for Evaluating Large Language Models on Ten Japanese National Healthcare Licensing Examinations, Clinical MLLMs Workshop(MICCAI 2025), October 2025.

      Junyu Liu, Kaiqi Yan, Tianyang Wang, Qian Niu, Momoko Nagai-Tanima, Tomoki Aoyama

      Clinical MLLMs Workshop (MICCAI 2025), October 2025.

    • Interpreting Multi-Attribute Confounding through Numerical Attributes in Large Language Models

      Hirohane Takagi(*), Gouki Minegishi(*), Shota Kizawa, Issey Sukeda, Hitomi Yanaka (*) Equal Contribution

      Proceedings of The 14th International Joint Conference on Natural Language Processing and The 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL 2025)_Main

    • Crypto-LLM: Two-Stage Language Model Pre-training with Ciphered and Natural Language Data

      Yohei Kobashi, Fumiya Uchiyama, Takeshi Kojima, Andrew Gambardella, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo

      Proceedings of The 14th International Joint Conference on Natural Language Processing and The 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL 2025)_Main

    • パーソナライズ画像生成における参照画像の複製効果の定量的評価と改善

      大坂洋豊, 鈴木雅大, 松尾豊

      情報処理学会論文誌, 2025

    • Provably Efficient RL under Episode-Wise Safety in Constrained MDPs with Linear Function Approximation

      Toshinori Kitamura, Arnob Ghosh, Tadashi Kozuno, Wataru Kumagai, Kazumi Kasaura, Kenta Hoshino, Yohei Hosoe, Yutaka Matsuo.

      Advances in Neural Information Processing Systems (NeurIPS 2025)_Spotlight

    • Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search

      Yuta Oshima, Masahiro Suzuki, Yutaka Matsuo, Hiroki Furuta.

      Advances in Neural Information Processing Systems (NeurIPS 2025).

    • Topology of Reasoning: Understanding Large Reasoning Models through Reasoning Graph Properties

      Gouki Minegishi, Hiroki Furuta, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo

      Advances in Neural Information Processing Systems (NeurIPS 2025)

    • 大規模画像言語モデルにおける事実性バイアスの体系的な分析

      冨山翔司、山下佳威、 鈴木雅大、 落合桂一、松尾豊

      情報処理学会論文誌