[5G3-OS-37b] OS-37 | The 40th Annual Conference of the Japanese Society for Artificial Intelligence, 2026

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Session Details

Organized SessionOrganized session : OS-37

[5G3-OS-37b]OS-37

Fri. Jun 12, 2026 2:00 PM - 3:30 PM JST
Fri. Jun 12, 2026 5:00 AM - 6:30 AM UTC

Room G(Main hall A)

オーガナイザ：古崎晃司（大阪電気通信大学），森田武史（青山学院大学），黒川茂莉（株式会社KDDI総合研究所），広田航（ストックマーク株式会社）

2:00 PM - 2:15 PM JST(5:00 AM - 5:15 AM UTC)

[5G3-OS-37b-01]Enhancing Explainability of Video-Grounded Dialogue Question Answering with Vision-Language Models via Self-Reflection and Commonsense Knowledge Graph

〇Kota Hiwara¹, Takeshi Morita¹ (1. Aoyama Gakuin University)

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2:15 PM - 2:30 PM JST(5:15 AM - 5:30 AM UTC)

[5G3-OS-37b-02]RDFS-LLM-Bench: A Multi-Level Benchmark for Evaluating RDF Schema Inference in Large Language Models

〇Taichi Hosokawa¹, Sudesna Chakraborty¹, Takeshi Morita¹ (1. Aoyama Gakuin University)

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2:30 PM - 2:45 PM JST(5:30 AM - 5:45 AM UTC)

[5G3-OS-37b-03]Prompt Compression for Dialog-Based Navigation Systems Using Need-Oriented Knowledge and Retrieval-Augmented Generation

〇Hiroaki Shimoma^1,2, Sudesna Chakraborty¹, Takeshi Morita^1,2, Aoi Oota², Masaki Asada², Shusaku Egami², Takanori Ugai^2,3, Masahiro Hamasaki² (1. Aoyama Gakuin University, 2. National Institute of Advanced Industrial Science and Technology,, 3. Fujitsu Limited)

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2:45 PM - 3:00 PM JST(5:45 AM - 6:00 AM UTC)

[5G3-OS-37b-04]Design Guidelines and Evaluation of Knowledge Graph-based RAG for Corporate Talent and Skill Search

〇Kazuki Ueda¹, Yu Okano¹, Katsuki Okuno¹, Akifumi Sumitani¹, Yu Kawahara¹, Hiroki Takamatsu¹, Daisuke Tatsumi¹, ryohsuke nohmoto¹, Shunta Ito², Momoko Otake² (1. Resonac Corporation., 2. Microsoft Japan Co., Ltd.)

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3:00 PM - 3:15 PM JST(6:00 AM - 6:15 AM UTC)

[5G3-OS-37b-05]Lightweight GraphRAG Retrieval for Unstructured Text via Entity Co-occurrence Graphs

〇Yudai Yamazaki¹, Anna Goshima¹, Shunichi Tahara¹, Kazuaki Furumai¹, Tatsuya Konishi¹, Kazushi Ikeda¹ (1. KDDI Research, Inc.)

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3:15 PM - 3:30 PM JST(6:15 AM - 6:30 AM UTC)

[5G3-OS-37b-06]Towards Effective Integration of Generative AI in Knowledge Intensive ConsultingEvaluation of Knowledge Graphs and Retrieval Augmented Generation for Domain Adaptation

〇Noriaki Hirokawa¹ (1. KPMG Advisory Lighthouse)

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