Bo Yang

Bo Yang has 2 papers in our library, in 2025, most of them on Language models & pretraining, Reasoning; often with Aonian Li, Bangwei Gong, Boji Shan.

2 papers in our library · 2025

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MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention (2025 · 66 citations)
Reasoning models get better when they generate longer chains of thought. Standard softmax attention, however, has quadratic cost in sequence length, which makes long outputs expensive. MiniMax-M1 tackles this with an open-weight reasoning model built on a hybrid design. It starts from MiniMax-Text-01, a…
MiniMax-01: Scaling Foundation Models with Lightning Attention (2025 · 50 citations)
Most current LLMs and VLMs handle 32K–256K tokens of context. That is often too little for tasks like reading whole books, working across entire code repositories, or many-shot in-context learning. The main obstacle is that softmax attention cost grows quadratically with length. MiniMax-01 addresses this with a…

11 co-authors with a page, the most papers together first.

Papers of our library cite their works 116 times (of the 149,439 papers whose bibliographies we read); 38 citing papers with a page here →.

Updated 1 November 2026