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    • Enhancing Dermoscopic Image Generation via Multi-Modal Conditional Diffusion Models

      Yun Jiang, Yarong Jin, Tao Sun, Huanting Guo, Zequn Zhang, Yuhang Li, Qian Niu

      Neurocomputing, 2026

    • Clustered Self-Assessment: A Simple yet Effective Method for Uncertainty Quantification in Large Language Models

      Qi Cao, Takeshi Kojima, Andrew Gambardella, Helinyi Peng, Yutaka Matsuo, Yusuke Iwasawa

      The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), Findings, July 2026

    • Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks

      Sunil Kumar Maurya, Xin Liu

      The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), Main, Long, July 2026

    • Med-CoReasoner: Reducing Language Disparities in Medical Reasoning via Language-Informed Co-Reasoning

      Fan Gao, Sherry T. Tong, Jiwoong Sohn, Jiahao Huang, Junfeng Jiang, Ding Xia, Piyalitt Ittichaiwong, Kanyakorn Veerakanjana, Hyunjae Kim, Qingyu Chen, Edison Marrese Taylor, Kazuma Kobayashi, Akiko Aizawa, Irene Li

      The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), Main, Long, July 2026

    • Understanding Emergent Misalignment via Feature Superposition Geometry

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

      The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), Main, Long, July 2026

    • A Review of the Science of Team Science: Data Sources, Research Methods, Disciplinary Characteristics, and Research Topics

      Rui Liu, Yi Zhao, Eunji Jeon, Yi Bu, Irene Li, Yongjun Zhu

      Journal of Informetrics, 2026

    • EARL: The 2nd Workshop on Evaluating and Applying Recommender Systems with Large Language Models

      Irene Li, Ruihai Dong, Guillaume Salha-Galvan, Aonghus Lawlor, Dairui Liu, Lei Li

      Proceedings of the 19th ACM Conference on Recommender Systems (RecSys 2025), Extended Abstract, September 2025

    • Enhancing Unimodal Latent Representations in Multimodal VAEs through Iterative Amortized Inference

      Yuta Oshima, Masahiro Suzuki, Yutaka Matsuo

      New Generation Computing (NGC), 2026

    • Towards High-resolution and Disentangled Reference-based Sketch Colorization

      Dingkun Yan, Xinrui Wang, Ru Wang, Zhuoru Li, Jinze Yu, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo

      The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026 (CVPR 2026), June 2026

    • CLIP-like Model as a Foundational Density Ratio Estimator

      Fumiya Uchiyama*, Rintaro Yanagi, Shohei Taniguchi, Shota Takashiro, Masahiro Suzuki, Hirokatsu Kataoka, Yusuke Iwasawa, Yutaka Matsuo

      The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026 (CVPR 2026), June 2026