MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
Paper
•
2506.13585
•
Published
•
273
Linear-Next
community
AI & ML interests
None defined yet.
sriting
authored
a
paper
7 months ago
MiniMax-AI
published
a
Space
8 months ago
liddalidd
updated
a
dataset
8 months ago
IanZhong
authored
3
papers
9 months ago
LASP-2: Rethinking Sequence Parallelism for Linear Attention and Its Hybrid
Paper
•
2502.07563
•
Published
•
23
You Only Scan Once: Efficient Multi-dimension Sequential Modeling with LightNet
Paper
•
2405.21022
•
Published
Rethinking RL Scaling for Vision Language Models: A Transparent, From-Scratch Framework and Comprehensive Evaluation Scheme
Paper
•
2504.02587
•
Published
•
32
IanZhong
authored
9
papers
12 months ago
Scaling TransNormer to 175 Billion Parameters
Paper
•
2307.14995
•
Published
•
22
Exploring Transformer Extrapolation
Paper
•
2307.10156
•
Published
•
1
CO2: Efficient Distributed Training with Full Communication-Computation Overlap
Paper
•
2401.16265
•
Published
•
1
Linear Attention Sequence Parallelism
Paper
•
2404.02882
•
Published
•
3
HGRN2: Gated Linear RNNs with State Expansion
Paper
•
2404.07904
•
Published
•
20
Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention
Paper
•
2405.17381
•
Published
Scaling Laws for Linear Complexity Language Models
Paper
•
2406.16690
•
Published
•
23
Audio-Visual Segmentation with Semantics
Paper
•
2301.13190
•
Published
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper
•
2501.08313
•
Published
•
300
liddalidd
authored
2
papers
12 months ago
MiniMax-AI
authored
a
paper
12 months ago
liddalidd
authored
a
paper
12 months ago