LLMC Symposium

2nd Japanese Symposium on Open Large Language Models|Challenges for Open LLM Development

2nd Japanese Symposium on Open Large Language Models

Challenges for Open LLM Development

DATE2026.11.5 THU
TIMESymposium 10:00–18:00
Networking Session 18:00–20:00
VENUEHitotsubashi Hall and Zoom
FORMATHybrid, Simultaneous interpretation
MEXT-FUNDED PROJECT

R&D Hub Aimed at Ensuring Transparency and Reliability of Generative AI Models

Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan

OVERVIEW

About the Symposium

The rapid advancement of generative AI is transforming research, industry, and society. As large language models (LLMs) continue to grow in scale and capability, ensuring their transparency, reliability, and safety and promoting responsible AI development and open research have become an important global challenge.

This symposium will focus on the challenges surrounding the research and development of open LLMs. Researchers, developers, participants from companies and other organizations, and members of the open-source community in Japan and abroad will share their latest research findings and insights.

Through special lectures by international researchers, presentations on the activities and achievements of LLMC and LLM-jp, poster presentations, and a discussion with the special lecturers, we will explore the current state and future directions of open LLM development.

PROGRAM

Program

2026.11.5 THU

Opening Remarks

President, Research Organization of Information and Systems (ROIS) / Ministry of Education, Culture, Sports, Science and Technology (TBC)

Overview of LLMC and LLM-jp Activities

Sadao Kurohashi, Director-General, National Institute of Informatics; Director, Research and Development Center for Large Language Models

LLM-jp Research Highlights

Presentation by the LLM-jp Working groups on their latest research activities and achievements.

Lunch Break

SPCIAL LECTURE 1

EuroLLM, Dynamic Sparsity, and Beyond: Open Multilingual LLMs for Europe and Challenges Ahead

André Martins
Instituto Superior Técnico, Portugal

POSTER

Break & Poster Session

SPCIAL LECTURE 2

Gradually Handing Decision Rights to the Model — What Architectural Evolution Tells Us About the Next Generation of AI Models

Boxing Chen
Chief Researcher, Ascend AI Lab
Huawei Technologies Canada Co., Ltd., Canada

POSTER

Break & Poster Session

Discussion with the Special Lecturers

Closing Remarks

Poster Presentations

Networking Session

*The networking session requires a separate fee and advance registration.