papers

Publications (5)

cs.CL2025

MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

MiniMax, :, Aili Chen +125

We introduce MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model. MiniMax-M1 is powered by a hybrid Mixture-of-Experts (MoE) architecture combin…

cs.CL2024

SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis

Hengxing Cai, Xiaochen Cai, Junhan Chang +20

Recent breakthroughs in Large Language Models (LLMs) have revolutionized scientific literature analysis. However, existing benchmarks fail to adequately evaluate the proficiency of…

cs.CL2024

Uni-SMART: Universal Science Multimodal Analysis and Research Transformer

Hengxing Cai, Xiaochen Cai, Shuwen Yang +14

In scientific research and its application, scientific literature analysis is crucial as it allows researchers to build on the work of others. However, the fast growth of scientifi…

cs.AI2026

The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

MiniMax, :, Aili Chen +219

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…

cs.LG2024

ADCNet: a unified framework for predicting the activity of antibody-drug conjugates

Liye Chen, Biaoshun Li, Yihao Chen +5

Antibody-drug conjugate (ADC) has revolutionized the field of cancer treatment in the era of precision medicine due to their ability to precisely target cancer cells and release hi…