KJDB 2026 Korea-Japan Database Workshop 2026

Program

Program

December 11–13, 2026. Keynote, research talks, and a panel discussion.

Program overview

Workshop program

Draft program

Keynote

Adaptive Intelligence under Real-World Constraints

Prof. Jae-Gil Lee (KAIST)

Keynote details

Slot 1

Personalization & User-Adaptive AI

  • How Can General-Purpose LLMs Become Better Recommenders?

    Prof. Kijung Shin (KAIST)

  • From Personalized Recommendation to Personalized Persuasion

    Prof. Yohan Jo (Seoul National University)

Slot 2

Efficient Context, Retrieval & Ranking

  • LLMs Can Rank, But What Should They See? Completing, Compressing, and Personalizing Context

    Prof. SeongKu Kang (Korea University)

  • Rethinking Retrieval across Dynamic Knowledge Environments

    Prof. Susik Yoon (Korea University)

Slot 3

Autonomous Agents & Specialized Models

  • Building Better Long-Horizon Agents: From Evaluation to Optimization and Memory

    Prof. Chanyoung Park (KAIST)

  • Anomaly Detection in the Era of Foundation Models

    Prof. Jaemin Yoo (Seoul National University)

Panel Discussion

Data Harness and Systems for AI Agents

A discussion of data harnesses and system architectures for scaling agents under real-world constraints, including efficiency, data quality, and accelerated systems.

Panelists

  • Prof. Kwanghyun Park (Yonsei University)
  • Prof. Steve Euijong Whang (KAIST)
Detailed schedule to be announced

This is a draft program. Session dates and times will be announced. Session order and details are subject to change.