Winter Brown Bag 2025

Objective

The Winter Brown Bag 2025 is held for knowledge sharing and gathering with all the lab members and other researchers who are interested in Trustworthy AI. Our meeting's style is very informal where participants can enjoy technical content with food. 

Information

• Date: February 7 (Friday), 2025

• Time: 19:30 - 23:00 

• Place: IS 7階輪講室/7F Seminar Room

• Zoom: https://jaist-ac-jp.zoom.us/j/88003959712?pwd=4z4qQUYfbDHDqcnLM9soxJ35jg5UPh.1 

Speakers and Topics

1. Tongyu Wang 

   • Time: 19:30 - 19:55 19:50 ~

   • Topic: Can Large Language Models Speak Description Logic Language?

2. Prabhat Parajuli 

   • Time: 20:00 - 20:25

   • Topic: Are Accurate Models All We Need? An XAI-based Framework for Recognizing Underspecification in Computer Vision

3. Ziheng Zhong

   • Time: 20:30 - 20:55 

   • Topic: Negative Sampling Methods for Knowledge Graph Representation Learning

4. Kazuki Takashima

   • Time: 21:00 - 21:25

   • Topic: Contrastive Learning in Graph Embedding

5. Chavakan Yimmark

   • Time: 21:30 - 21:55

   • Topic: The Concept of Superposition in Feature Space

6. Teeradaj Racharak

   • Time: 22:00 - 22:15

   • Topic: Research Methodology

Speakers (except Racharak) are provided with 15 minutes for the presentation and about 10 minutes for Q&A. 
All speakers should share your presentation (or any files) via this shared folder beforehand.