174 citations · 176 across the 2 of their papers we have counts for
2 papers
cs.CL2023★ 174 cited
Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Harsha Nori, Yin Tat Lee, Sheng Zhang +15
Generalist foundation models such as GPT-4 have displayed surprising capabilities in a wide variety of domains and tasks. Yet, there is a prevalent assumption that they cannot matc…
cs.CL2023★ 2 cited
Positional Description Matters for Transformers Arithmetic
Ruoqi Shen, Sébastien Bubeck, Ronen Eldan +3
Transformers, central to the successes in modern Natural Language Processing, often falter on arithmetic tasks despite their vast capabilities --which paradoxically include remarka…