9 citations · 15 across the 2 of their papers we have counts for
2 papers
cs.CL2023★ 9 cited
ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context Learning
Jingyuan Selena She, Christopher Potts, Samuel R. Bowman +1
A number of recent benchmarks seek to assess how well models handle natural language negation. However, these benchmarks lack the controlled example paradigms that would allow us t…
cs.CL2022★ 6 cited
Event knowledge in large language models: the gap between the impossible and the unlikely
Carina Kauf, Anna A. Ivanova, Giulia Rambelli +5
Word co-occurrence patterns in language corpora contain a surprising amount of conceptual knowledge. Large language models (LLMs), trained to predict words in context, leverage the…