Session Details

[2Yin-B]Poster 4

Tue. Jun 9, 2026 4:00 PM - 5:30 PM JST
Tue. Jun 9, 2026 7:00 AM - 8:30 AM UTC
Room Y(Exhibition hall AB 1)

[2Yin-B-01]Jagle: Building a Large-Scale Japanese Multimodal Post-Training Dataset for Vision–Language Models

〇Issa Sugiura1,2, Keito Sasagawa4,2, Keisuke Nakao4,2, Koki Maeda6,2, Yin Ziqi2, Yang Zhishen2, Shuhei Kurita3,2, Yusuke Oda2, Ryoko Tokuhisa5,7, Daisuke Kawahara4,2Naoaki Okazaki6,2 (1. Kyoto University, 2. NII LLMC, 3. National Institute of Informatics, 4. Waseda University, 5. Aichi Institute of Technology, 6. Institute of Science Tokyo, 7. Institute of Physical and Chemical Research)

[2Yin-B-03]Structural Analysis of Emotional Drift in LLMs Caused by Japanese Polysemy: The "Arigato Hypothesis" and Vector Space Distortion~ Voi che sapete: 「ありがとう仮説」とベクトル空間の歪みに関する定量的検証 ~

〇Shiori Tatei

[2Yin-B-05]On the Role of Multimodal Graph Sparsification in Machine Translation

〇ZHENGPAN FEI1, YUTING ZHAO1 (1. Kyushu University)

[2Yin-B-06]Evaluating Sentence Ordering in Japanese Narratives with Lightweight Language Models

〇Asa Yokoyama1, Rafal Rzepka1 (1. Hokkaido University)

[2Yin-B-08]Discussion Analysis with LLMs for Facilitation Support and Evaluation via a Consensus Game

〇Atsuki Yoshikawa1, Ryo Taguchi1 (1. Nagoya Institute of Technology)

[2Yin-B-09]Verification of Annotation Capabilities for Harmful Texts Using Large Language Models

〇Rin Miura1, Michal Ptaszynski2, Fumito Masui2, René Meléndez3, Yuta Nakajima3 (1. Faculty of Engineering, Kitami Institute of Technology, 2. Division of Information and Communication Engineering, Kitami Institute of Technology, 3. Graduate School of Engineering, Kitami Institute of Technology)

[2Yin-B-11]Improving Large Language Model's Detectability via Synthetic Feedback

〇Hiroki Yamauchi1, Akira Kawabata1, Yuya Taguchi1, Hideaki Tamori1, Naoaki Okazaki2, Kentaro Inui3,4,5 (1. The Asahi Shimbun Company, 2. Institute of Science Tokyo, 3. MBZUAI, 4. Tohoku University, 5. RIKEN)

[2Yin-B-12]Can Vision-Language Models Correctly Identify the Names of Cultural Heritage Sites?

〇Niko Kawasaki1, Mariko Okude1, Hiroki Ouchi2 (1. National Institute of Technology(KOSEN), Ibaraki College, 2. Nara Institute of Science and Technology)

[2Yin-B-13]Statistical-Physics Characterization of Long-Context Processing in Language Models

〇Kai Nakaishi1, Yui Oka2, Yuji Yamamoto1, Kyosuke Nishida2, Sho Yokoi1 (1. NINJAL, 2. NTT)

[2Yin-B-14]Discussions and Information Sharing on Bear Damage in Tokachi, HokkaidoA Comparative Analysis of Municipal Newsletters and Local Assembly Minutes

〇Mitsuru Kudo1, Yuto Jatani1, Yasutomo Kimura1, Yoichi Kawano2 (1. Otaru University of Commerce, 2. Obihiro University of Agriculture and Veterinary Medicine)

[2Yin-B-16]Translation of Emergent Language and Natural Language by using VQ-VAE and UNMT

〇Masatake Ishikawa1, Kei Wakabayashi1 (1. University of Tsukuba)

[2Yin-B-17]XAI-based Feature Region Identification of Boiling Acoustics and Robust Deep Learning Anomaly Detection

〇Koya Watanabe1, Yoshitaka Ueki1 (1. Tokyo University of Science)

[2Yin-B-19]Extension and Theoretical Analysis of the Secretary Problem in Priority-Based Competitive Environments

〇Naoki Maeda1, Kei Kimura1, Makoto Yokoo1 (1. kyushu university)

[2Yin-B-20]Mapping Urban Flood Susceptibility in Tokyo Using a Convolutional Neural Network

〇Fuka Tomari1, Naoki Matsuyama1 (1. Meiji University)

[2Yin-B-21]Exploring Language Understanding Challenges in Online Texts

〇Zheng Lin Chia1, Krishna Prasad Bhattarai1 (1. Kanazawa Gakuin University)

[2Yin-B-22]Implementation of Inner Speech in LLM Persona Agents and Verification of Social Coordination Capabilities

〇Ryosuke Takata1, Momoka Okayama2, Kiyoshi Izumi1 (1. The University of Tokyo, 2. Dai Nippon Printing Co., Ltd.)

[2Yin-B-23]Probabilistic Multimodal Spacecraft Trajectory Generation Using Transformer and Mixture Density Network

〇TOSHIHIKO YANASE1, Akira Hatakeyama2, Naoya Ozaki3 (1. Preferred Networks, Inc., 2. The Graduate University for Advanced Studies, 3. Institute of Space and Astronautical Science, JAXA)

[2Yin-B-24]Relaxation of fairness and non-wastefulness in two-sided matching under hereditary constraints

〇Aoto Goto1, Zhaohong Sun1, Makoto Yokoo1, Kei Kimura1 (1. Kyushu University)

[2Yin-B-25]Thermal Fatigue Life Prediction of Solder Joints via Domain-Adaptive Deep Learning

〇Jingjing Bai1, Shunya Nitta2, Daichi Fujiki4, Yoshinobu Kawahara1, Hiroshi Nishikawa3, Fuyuhiko Tanaka5 (1. Graduate School of Information Science and Technology, The University of Osaka, 2. Graduate School of Engineering, The University of Osaka, 3. Joining and Welding Research Institute, The University of Osaka, 4. Graduate School of Engineering Science, The University of Osaka, 5. Center for Education in Liberal arts and Science, The University of Osaka)

[2Yin-B-27]Proposal of Dynamic Storage Location Assignment Method Based on Demand Uniformity and Co-occurrence in Automated Warehouses

〇Yuki Yamaguchi1, Naoki Hattori2, Hiroki Sakaji1, Itsuki Noda1 (1. Hokkaido University, 2. Toyota Industries Corporation)

[2Yin-B-28]Controlling LLM Generation Length via Soft Labels Constructed from Multiple Candidate Sequences

〇Hiroki Kawakami1, Masato Uchida1 (1. Waseda University)

[2Yin-B-29]Causal Structure-Based Prediction of Head-end Shape in Hot Rolling Processes

〇Yuya Kiri1, Masayasu Sekimoto2, Toshihiro Nii2, Ryo Saito2, Masato Uchida1 (1. Waseda University, 2. TMEIC Corporation)

[2Yin-B-30]Development of a System for Analyzing Individual Differences in Motion Capture Data

〇Koki Hinaiji1, Yihsin Ho1, Eri Sato Shimokawara2, Hiroki Shibata2, Takenori Obo2, Ichiro Kobayashi1 (1. Takushoku University, 2. Tokyo Metropolitan University)

[2Yin-B-31]Generalized Performance Representation Learning in Sports Motion via Bioinformatics

〇Tomohiro Suzuki1, Taichi Hibi1, Teppei Shimamura2, Keisuke Fujii1,3, Norimasa Kobori1,4 (1. Nagoya University, 2. Institute of Science Tokyo, 3. RIKEN, 4. Mercari, Inc.)

[2Yin-B-32]Energy Consumption Prediction and Bayesian Optimization for Electric Arc Furnace Operation under Input Uncertainty

〇Shun Aota1, Kohei Higashino2, Atsushi Fukuda1 (1. Hyogo Prefectural Institute of Technology, 2. Yamato Kogyo Co., Ltd)

[2Yin-B-33]Construction of a Vehicle Driving Dataset for Designing a Multimodal LLM Capable of Interpreting Time-Series Data

〇Koichi Seki1, Shugo Matsusaka1, Hideaki Bunazawa1, Takuya Shintate2, Shuheng You2, Yongpeng Cao2, Xi Xue2, Akira Yoshida2, Kunio Suzuki2 (1. Toyota Motor Corporation, 2. NABLAS Inc.)

[2Yin-B-34]A Dialogue System for the Practical Use of Data Analysis AI Agents in the Industrial Field

〇Hiroko Kobori1, Kumiko Isu1, Katsumi Okuda1 (1. Mitsubishi Electric)

[2Yin-B-35]Optimizing Pharmaceutical Ordering Using a Hybrid Model Integrating Demand Forecasting and Pharmacist’s Judgment

〇Kazuma Minoda1, Yoshihiro Fujimoto1, Tomoya Kawabe1, Keisuke Hosaka1 (1. KAKEHASHI)

[2Yin-B-36]Corporate Valuation Using an Artificial Market Composed of Multiple Types of Investor Agents

〇Yuki Tsuboi1, Kunihiko Harada1, Hiroaki Ozaki1 (1. Hitachi, Ltd.)

[2Yin-B-37]Zero-Data Self-Evolving Agentic Learning for Multimodal Generation

〇Haruki Yonekura1,2, Fumiaki Sato1, Taiki Sekii1 (1. CyberAgent, Inc., 2. The University of Osaka)

[2Yin-B-38]A Comparative Analysis of Recurrent Reasoning Models and Large Language Models on Sudoku-Bench

〇Rei Karasawa1, Akito Mori1, Yoshihiko Ichikawa1 (1. Insight Edge, Inc.)

[2Yin-B-39]Proposal for Rule Explainability Evaluation Metrics and Methods for Enhancing Explainability Using Generative AI

〇Atsushi Machida1, Motonobu Uchikoshi1 (1. The Japan Research Institute, Limited)

[2Yin-B-40]A BDI Agent Considering Others' Intentions Based on a Multi-Context System

〇Hiraku Gondo1, Hiroki Sakaji1, Itsuki Noda1 (1. Hokkaido University)

[2Yin-B-41]Multi-timescale homeostasis based on energy metabolic constraintsAutomatic Acquisition Mechanism of Stable Spontaneous Firing in Self-Organizing Spiking Neural Networks

〇Atsushi Katayama1, Kazuhiko Murasaki1, Ryuichi Tanida1 (1. NTT)

[2Yin-B-42]Development of a Text-based Design Support Model for Optimal Temperature and Flow Fields and Application to Crystal Growth Technology

〇Kota Takahara1, Kutsukake Kentaro1,2, Harada Shunta1,2, Ujihara Toru1,2 (1. Grad. Sch. Eng., Nagoya Univ, 2. IMaSS Nagoya Univ.)

[2Yin-B-43]Problem Formulation and Tool Development for Materials Discovery Focusing on Atomic Rearrangements

〇Akira Kusaba1,2, Tetsuji Kuboyama3, Yoshihiro Kangawa1 (1. Kyushu University, 2. Nagoya University, 3. Gakushuin University)

[2Yin-B-44]Multi-task learning using connectome-based reservoir computing

Honami Nakomoto1, 〇Makoto Fukushima1 (1. Hiroshima University)

[2Yin-B-45]Detection of localized abnormalities in brain activity

〇Marin Tamaru1, Junichi Chikazoe2, Ichiro Kobayashi1 (1. Ochanomizu University, 2. Hiroshima University)

[2Yin-B-46]Renewable energy power generation prediction by lightweight general-purpose time series modelsEffectiveness and challenges of lightweighting time series foundation models for real-world problems

〇Shogo Masaya1, Yohei Nishitsuji2 (1. INPEX Corporation, 2. Sumitomo Corporation)

[2Yin-B-47]Replacing the Human in the Loop: Automated Evaluation of LLM Mathematical Proof Generalization

〇Carolina Dias-Alexiou1, Edison Marrese-Taylor1,2, Hiroya Takamura2, Yutaka Matsuo1 (1. The University of Tokyo, 2. AIST)

[2Yin-B-48]Weaker Notions of False-Name-Proofness in Deterministic Social Choice

〇Shota Miyamoto1, Taiki Todo1, Makoto Yokoo1 (1. Kyushu university)

[2Yin-B-49]Emergence of Hierarchical Autonomous Patterns in H-Lenia

〇Tatsuki Furukawa1, Takaya Arita1, Reiji Suzuki1 (1. Nagoya University)

[2Yin-B-50]A Unified Gauge for Controlling Exploration and Integration in Dynamic Knowledge Graphs—Gauge what Knowledge Graph needs.—

〇Kazuyoshi Miyauchi1 (1. *)

[2Yin-B-51]Evaluating the Pure Proof Generation Ability of Large Language ModelsA Benchmark Based on Hilbert System for Propositional Logic

〇Risako Ando1, Rinta Yamada2, Sakiko Yamasaki1, Ryota Akiyoshi2, Koji Mineshima1 (1. Keio University, 2. The University of Electro-Communications)

[2Yin-B-52]A Note on Collective Behavior Analysis in Distributed LLM-based Multi-Agent Systems Based on Interaction Strength Control

〇Taiyo Sato1, Keisuke Maeda1, Naoki Saito1, Takahiro Ogawa1, Miki Haseyama1 (1. Hokkaido University)

[2Yin-B-53]An Empirical Study on Decision Transformer to Concurrent Negotiation in Supply Chains

〇Keiichi Namikoshi1, Eito Sugita1, Yuko Sakurai1, Sachiyo Arai2 (1. Nagoya Institute of Technology, 2. Chiba University)

[2Yin-B-54]Synthetic Control Method Using Dynamic Time Warping and Temporal Distortion Index

〇Hayato Ishiyama1, Daigo Fujiwara1,2, Tomonori Izumitani1 (1. NTT DOCOMO BUSINESS, Inc., 2. Shiga University)

[2Yin-B-55]Identifying Bottlenecks in Language Models’ Abstract Reasoning

〇Terukaze Seino1, Youichi Aoki1,2, Istumi Saito1,2,3, Keisuke Sakaguchi1,2 (1. Tohoku University, 2. Institute of Physical and Chemical Research, 3. Institute of Science Tokyo)

[2Yin-B-56]Time-Series Processing Capability of an SNN Model Inspired by Theta-Gamma Coupling in the Hippocampal CA3 Region

〇Ryohei Sato1, Shogo Yonekura1, Yasuo Kuniyoshi1,2 (1. The University of Tokyo, 2. Next Generation Artificial Intelligence Research Center)

[2Yin-B-57]Stroke Evaluation Using Reinforcement Learning from Tennis Broadcast Video

〇Koki Nakaseko1, Kenjiro Ide1, Ning Ding3, Keisuke Fujii1,2 (1. Nagoya University, 2. Institute of Physical and Chemical Research, 3. Nagoya Institute of Technology)

[2Yin-B-58]Evaluating Glyph Similarity across Writing Systems Using Machine LearningA Case Study of Chinese Ethnic Minority Scripts

〇Noritaka Kimura1 (1. Kokugakuin University)

[2Yin-B-59]Analysis of the Reliability of Process Reward Models in Test-Time Scaling for Large Language Model Reasoning

〇Jiahui Wang1, Yuheng Huang1, Lei Ma1 (1. The University of Tokyo)

[2Yin-B-60]Construction of a social networking site for sharing opinions based on book quotes and analysis of initial usage

〇Koki Tanabe1, Ryotaro Jinbo2, Haruto Kubosawa2, Riku Takahashi2, Shibata Hirohito1 (1. Graduate School of Informatics, Gunma University, 2. Faculty of Informatics, Gunma University)

[2Yin-B-61]Center-Dominant Classes and Label Dependence in the Geometric Structure of Low-Dimensional Classifiers

〇Mizuki Dai1, Kenya Jin’no1 (1. Graduate School of Tokyo City University)

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