5 citations · 9 across the 6 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
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…
cs.CV2023
DiffuGen: Adaptable Approach for Generating Labeled Image Datasets using Stable Diffusion Models
Michael Shenoda, Edward Kim
Generating high-quality labeled image datasets is crucial for training accurate and robust machine learning models in the field of computer vision. However, the process of manually…