51 citations · 113 across the 9 of their papers we have counts for
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cs.CL2023
Characterizing tradeoffs between teaching via language and demonstrations in multi-agent systems
Dhara Yu, Noah D. Goodman, Jesse Mu
Humans teach others about the world through language and demonstration. When might one of these modalities be more effective than the other? In this work, we study the factors that…
cs.CL2023★ 17 cited
Learning to Compress Prompts with Gist Tokens
Jesse Mu, Xiang Lisa Li, Noah Goodman
Prompting is the primary way to utilize the multitask capabilities of language models (LMs), but prompts occupy valuable space in the input context window, and repeatedly encoding…