738 citations · 8.5k across the 150 of their papers we have counts for
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cs.CL2023★ 5 cited
Elo Uncovered: Robustness and Best Practices in Language Model Evaluation
Meriem Boubdir, Edward Kim, Beyza Ermis +2
In Natural Language Processing (NLP), the Elo rating system, originally designed for ranking players in dynamic games such as chess, is increasingly being used to evaluate Large La…
cs.CL2023★ 4 cited
Which Prompts Make The Difference? Data Prioritization For Efficient Human LLM Evaluation
Meriem Boubdir, Edward Kim, Beyza Ermis +2
Human evaluation is increasingly critical for assessing large language models, capturing linguistic nuances, and reflecting user preferences more accurately than traditional automa…