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Found 6 papers, 1 papers with code
GhostWriter: Augmenting Collaborative Human-AI Writing Experiences Through Personalization and Agency
Large language models (LLMs) are becoming more prevalent and have found a ubiquitous use in providing different forms of writing assistance.
From User Surveys to Telemetry-Driven Agents: Exploring the Potential of Personalized Productivity Solutions
We present a comprehensive, user-centric approach to understand preferences in AI-based productivity agents and develop personalized solutions tailored to users' needs.
Affective Conversational Agents: Understanding Expectations and Personal Influences
The rise of AI conversational agents has broadened opportunities to enhance human capabilities across various domains.
Evaluating how interactive visualizations can assist in finding samples where and how computer vision models make mistakes
Creating Computer Vision (CV) models remains a complex practice, despite their ubiquity.
NL-EDIT: Correcting semantic parse errors through natural language interaction
We present NL-EDIT, a model for interpreting natural language feedback in the interaction context to generate a sequence of edits that can be applied to the initial parse to correct its errors.
Machine Teaching: A New Paradigm for Building Machine Learning Systems
This significantly limits the number of machine learning systems that can be created and has led to a mismatch between the demand for machine learning systems and the ability for organizations to build them.
