133 citations · 281 across the 44 of their papers we have counts for
Showing 2023 · cs.AIShow all
2 papers · 2 filters
cs.AI2023★ 2 cited
Invalid Logic, Equivalent Gains: The Bizarreness of Reasoning in Language Model Prompting
Rylan Schaeffer, Kateryna Pistunova, Samar Khanna +2
Language models can be prompted to reason through problems in a manner that significantly improves performance. However, \textit{why} such prompting improves performance is unclear…
cs.AI2023★ 133 cited
Are Emergent Abilities of Large Language Models a Mirage?
Rylan Schaeffer, Brando Miranda, Sanmi Koyejo
Recent work claims that large language models display emergent abilities, abilities not present in smaller-scale models that are present in larger-scale models. What makes emergent…