CHI Study Group 2024 Presentation Preparation (Large Language Models)

• https://pgl.jp/seminars/chi2024/sessions/6641625a825999002d96f907

  • Got carried away and took the trendy center stage slot “118. Large Language Models” (blu3mo)

• Please summarize the paper on one PowerPoint slide. The number of slides to prepare will be the number of papers in each session plus one slide for the session theme (e.g., if a session has 3 papers, prepare 4 slides). On the day of the event, each paper will be presented in 30 seconds, so create slides with key figures or images that convey the gist of the paper at a glance. Avoid using motion features as they may cause issues due to device compatibility.

• Important: Please use an aspect ratio of 16:9 for the slides!

• Details to include:

• • Paper title

• • Author(s) + affiliation

• • Image (very important)

• • Summarize the paper introduction or comments in bullet points on the slide

• • Type of Paper/Note (Long/Short)

• • Whether it is Best or Nominee (recommended to place an icon next to the paper type)

• • Optional: Summary in Japanese (whether to include in the slide is up to you)

  • Is the registration system still being prepared?

• Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences

  • The material is too apple-like!

• Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference

• Luminate: Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation

• Narrating Fitness: Leveraging Large Language Models for Reflective Fitness Tracker Data Interpretation

• RELIC: Investigating Large Language Model Responses using Self-Consistency