1 citations · 1 across the 3 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
cs.CL2026
How Does Post-Training Shape LLM Value Preferences?
Yang Liu, Shaoyang Xu, Masahiro Kaneko +3
During post-training, large language models (LLMs) learn value preferences from corpora that may contain imbalanced proportions of opinions associated with different demographic gr…
cs.AI2026
The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence
Aili Chen, Aonian Li, Baichuan Zhou +215
We introduce the MiniMax-M2 series, a family of Mixture-of-Experts language models built around the principle that mini activations can unleash maximum real-world intelligence. The…