MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
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2506.13585
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Published
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272
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sriting
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6 months ago
MiniMax-AI
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Space
7 months ago
liddalidd
updated
a
dataset
7 months ago
IanZhong
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3
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8 months ago
LASP-2: Rethinking Sequence Parallelism for Linear Attention and Its Hybrid
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2502.07563
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24
You Only Scan Once: Efficient Multi-dimension Sequential Modeling with LightNet
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2405.21022
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Published
Rethinking RL Scaling for Vision Language Models: A Transparent, From-Scratch Framework and Comprehensive Evaluation Scheme
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2504.02587
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Published
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32
IanZhong
authored
9
papers
11 months ago
Scaling TransNormer to 175 Billion Parameters
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2307.14995
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22
Exploring Transformer Extrapolation
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2307.10156
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Published
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1
CO2: Efficient Distributed Training with Full Communication-Computation Overlap
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2401.16265
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Published
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1
Linear Attention Sequence Parallelism
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2404.02882
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Published
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3
HGRN2: Gated Linear RNNs with State Expansion
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2404.07904
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Published
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20
Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention
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2405.17381
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Published
Scaling Laws for Linear Complexity Language Models
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2406.16690
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Published
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23
Audio-Visual Segmentation with Semantics
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2301.13190
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Published
MiniMax-01: Scaling Foundation Models with Lightning Attention
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2501.08313
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Published
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301
liddalidd
authored
2
papers
11 months ago
MiniMax-AI
authored
a
paper
11 months ago
liddalidd
authored
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paper
11 months ago