6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.HC2026
Key Considerations for Domain Expert Involvement in LLM Design and Evaluation: An Ethnographic Study
Annalisa Szymanski, Oghenemaro Anuyah, Toby Jia-Jun Li +1
Large Language Models (LLMs) are increasingly developed for use in complex professional domains, yet little is known about how teams design and evaluate these systems in practice.…
cs.HC2024★ 6 cited
Limitations of the LLM-as-a-Judge Approach for Evaluating LLM Outputs in Expert Knowledge Tasks
Annalisa Szymanski, Noah Ziems, Heather A. Eicher-Miller +3
The potential of using Large Language Models (LLMs) themselves to evaluate LLM outputs offers a promising method for assessing model performance across various contexts. Previous r…