6 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CL2025
Uncovering Implicit Bias in Large Language Models with Concept Learning Dataset
Leroy Z. Wang
We introduce a dataset of concept learning tasks that helps uncover implicit biases in large language models. Using in-context concept learning experiments, we found that language…
cs.CL2024
Minimization of Boolean Complexity in In-Context Concept Learning
Leroy Z. Wang, R. Thomas McCoy, Shane Steinert-Threlkeld
What factors contribute to the relative success and corresponding difficulties of in-context learning for Large Language Models (LLMs)? Drawing on insights from the literature on h…
cs.CL2022★ 6 cited
Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection
Suchin Gururangan, Dallas Card, Sarah K. Dreier +5
Language models increasingly rely on massive web dumps for diverse text data. However, these sources are rife with undesirable content. As such, resources like Wikipedia, books, an…