An international workshop was successfully held at the University of Alberta (xAI Lab, Alberta Machine Intelligence Institute) from November 1st to 6th, where Lecturer Hayashi is currently a visiting professor. This workshop brought together students from Hayashi Lab and the University of Alberta, fostering vibrant academic discussions through research presentations.

Hayashi Lab was represented by six members, including five master’s students and one undergraduate student, who presented their research findings. Following the presentations, participants engaged in lively discussions, exchanging ideas and broadening their research perspectives.

The presentation titles and speakers are as follows:

Hayashi Lab.

• Kosuke Manabe: Metadata-less Dataset Recommendation Leveraging Dataset Embeddings by Pre-trained Tabular Language Models

• Yuka Haruki: Toward Data Recommendation Systems: Analyzing Heterogeneous Data Combination Cases

• Kenta Yamamoto: Understanding User Interactions and Community Formation on Data Competition Platform

• Jun Sashihara: Impact of Buyer Strategy and Market Size on Data Marketplace Dynamics: A Network-Based Simulation Study

• Yu Ke: Generative AI for Synthetic Tabular Data Generation: Application in Data Ecosystem

• Mahiro Tajima: Improving the Accuracy of Relevance Recommendation for One-Dimensional Time Series Data through Natural Language Annotation

xAI Lab.

• Shahin Atakishiyev: Visual Question Answering for Explainable Autonomous Driving: Opportunities and Challenges

• Bruce Matichuk: LLM Reasoning Limitations and Solutions

• Nafisa Sadaf Hriti: End to end system for Frailty Detection

• MD Abed Rahman: Example-Based Explanations In Healthlink

• Euijin Baek: Enhancing Logical Reasoning in Large Language Models through Iterative Thought Generation and Planning

• Iain Nicholas Smith: Counterfactual Explanations using BARBE

This workshop provided a valuable opportunity for international academic exchange among students, contributing to the broadening of their research perspectives.