301 citations · 338 across the 8 of their papers we have counts for
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cs.LG2022★ 301 cited
Large Language Models Are Human-Level Prompt Engineers
Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han +4
By conditioning on natural language instructions, large language models (LLMs) have displayed impressive capabilities as general-purpose computers. However, task performance depend…
cs.LG2022★ 8 cited
You Can't Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments
Keiran Paster, Sheila McIlraith, Jimmy Ba
Recently, methods such as Decision Transformer that reduce reinforcement learning to a prediction task and solve it via supervised learning (RvS) have become popular due to their s…