NAACL 2024, Mexico City

Presenters

Diyi's Profile Photo
Diyi Yang
Assistant Professor
Stanford University
Sherry's Profile Photo
Sherry Wu
Assistant Professor
Carnegie Mellon University
Marti's Profile Photo
Marti A. Hearst
Professor
UC Berkeley

Abstract

Recently, the development of Large Language Models (LLMs) has revolutionized the capabilities of AI systems. These models possess the ability to comprehend and generate human-like text, enabling them to engage in sophisticated conversations, generate content, and even perform tasks that once seemed beyond the reach of machines. As a result, the way we interact with technology and each other --- an established field called ``Human-AI Interaction'' and have been studied for over a decade --- is undergoing a profound transformation.

This tutorial will provide an overview of the interaction between humans and LLMs, exploring the challenges, opportunities, and ethical considerations that arise in this dynamic landscape. It will start with a review of the types of AI models we interact with, and a walkthrough of the core concepts in Human-AI Interaction. We will then emphasize the emerging topics shared between HCI and NLP communities in light of LLMs.

Schedule

June 16, 2024, 14:00-17:30
Don Alberto 2, Hilton Mexico City Reforma

Tutorial presenters introduction 14:00-14:10
Session 1: Design Human-LLM Evaluation (Marti Hearst) 14:10-15:00
Session 2: Enable Human-LLM Evaluation (Diyi) 15:00-15:30
Coffee break 15:30-16:00
Session 2, Cont.: Enable Human-LLM Evaluation (Diyi) 16:00-16:20
Session 3: Evaluating Human-LLM Interactions (Sherry) 16:20-17:10
Conclusion 17:10-17:20