11 citations · 24 across the 8 of their papers we have counts for
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cs.CL2025★ 2 cited
Olmo 3
Team Olmo, :, Allyson Ettinger +66
We introduce Olmo 3, a family of state-of-the-art, fully-open language models at the 7B and 32B parameter scales. Olmo 3 model construction targets long-context reasoning, function…
cs.LG2025
Critical Batch Size Revisited: A Simple Empirical Approach to Large-Batch Language Model Training
William Merrill, Shane Arora, Dirk Groeneveld +1
The right batch size is important when training language models at scale: a large batch size is necessary for fast training, but a batch size that is too large will harm token effi…
cs.CL2025★ 2 cited
2 OLMo 2 Furious
Team OLMo, Pete Walsh, Luca Soldaini +40
We present OLMo 2, the next generation of our fully open language models. OLMo 2 includes a family of dense autoregressive language models at 7B, 13B and 32B scales with fully rele…