2 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CL2024★ 2 cited
Under the Surface: Tracking the Artifactuality of LLM-Generated Data
Debarati Das, Karin De Langis, Anna Martin-Boyle +14
This work delves into the expanding role of large language models (LLMs) in generating artificial data. LLMs are increasingly employed to create a variety of outputs, including ann…
cs.HC2019★ 2 cited
Evaluating Older Users' Experiences with Commercial Dialogue Systems: Implications for Future Design and Development
Libby Ferland, Thomas Huffstutler, Jacob Rice +3
Understanding the needs of a variety of distinct user groups is vital in designing effective, desirable dialogue systems that will be adopted by the largest possible segment of the…