7 citations · 9 across the 5 of their papers we have counts for
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cs.CL2024★ 7 cited
OLMoE: Open Mixture-of-Experts Language Models
Niklas Muennighoff, Luca Soldaini, Dirk Groeneveld +21
We introduce OLMoE, a fully open, state-of-the-art language model leveraging sparse Mixture-of-Experts (MoE). OLMoE-1B-7B has 7 billion (B) parameters but uses only 1B per input to…
cs.HC2024
Know Your Audience: The benefits and pitfalls of generating plain language summaries beyond the "general" audience
Tal August, Kyle Lo, Noah A. Smith +1
Language models (LMs) show promise as tools for communicating science to the general public by simplifying and summarizing complex language. Because models can be prompted to gener…