1 citations · 1 across the 2 of their papers we have counts for
3 papers
Interpretable Stylistic Variation in Human and LLM Writing Across Genres, Models, and Decoding Strategies
Swati Rallapalli, Shannon Gallagher, Ronald Yurko +4
Large Language Models (LLMs) are now capable of generating highly fluent, human-like text. They enable many applications, but also raise concerns such as large scale spam, phishing…
The Impact of Imperfect XAI on Human-AI Decision-Making
Katelyn Morrison, Philipp Spitzer, Violet Turri +3
Explainability techniques are rapidly being developed to improve human-AI decision-making across various cooperative work settings. Consequently, previous research has evaluated ho…
Measuring AI Systems Beyond Accuracy
Violet Turri, Rachel Dzombak, Eric Heim +3
Current test and evaluation (T&E) methods for assessing machine learning (ML) system performance often rely on incomplete metrics. Testing is additionally often siloed from the oth…