Parachute: Evaluating Interactive Human-LM Co-writing Systems
Hua Shen, Tongshuang Wu

TL;DR
This paper introduces Parachute, a comprehensive evaluation framework for assessing interactive human-LM co-writing systems, addressing the lack of systematic evaluation methods in this emerging area.
Contribution
The paper presents Parachute, a novel human-centered evaluation framework with categorized metrics for assessing interactive co-writing systems involving language models.
Findings
Demonstrates how to evaluate co-writing systems using Parachute
Provides a structured approach to compare different systems
Highlights the importance of interaction evaluation in co-writing
Abstract
A surge of advances in language models (LMs) has led to significant interest in using LMs to build co-writing systems, in which humans and LMs interactively contribute to a shared writing artifact. However, there is a lack of studies assessing co-writing systems in interactive settings. We propose a human-centered evaluation framework, Parachute, for interactive co-writing systems. Parachute showcases an integrative view of interaction evaluation, where each evaluation aspect consists of categorized practical metrics. Furthermore, we present Parachute with a use case to demonstrate how to evaluate and compare co-writing systems using Parachute.
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Taxonomy
TopicsNatural Language Processing Techniques · Topic Modeling · Speech and dialogue systems
