2.1k citations · 2.8k across the 17 of their papers we have counts for
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Understanding the Dataset Practitioners Behind Large Language Model Development
Crystal Qian, Emily Reif, Minsuk Kahng
As large language models (LLMs) become more advanced and impactful, it is increasingly important to scrutinize the data that they rely upon and produce. What is it to be a dataset…
Automatic Histograms: Leveraging Language Models for Text Dataset Exploration
Emily Reif, Crystal Qian, James Wexler +1
Making sense of unstructured text datasets is perennially difficult, yet increasingly relevant with Large Language Models. Data workers often rely on dataset summaries, especially…
LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models
Minsuk Kahng, Ian Tenney, Mahima Pushkarna +7
Automatic side-by-side evaluation has emerged as a promising approach to evaluating the quality of responses from large language models (LLMs). However, analyzing the results from…