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References (20)

[1]
Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free
2025Zihan Qiu, Zekun Wang et al.
[2]
Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models
2025Haoxiang Sun, Yingqian Min et al.
[3]
Tensor Product Attention Is All You Need
2025Yifan Zhang, Yifeng Liu et al.
[4]
WanJuan-CC: A Safe and High-Quality Open-sourced English Webtext Dataset
2024Jiantao Qiu, Haijun Lv et al.
[5]
GPQA: A Graduate-Level Google-Proof Q&A Benchmark
2023David Rein, Betty Li Hou et al.
[6]
Why Do We Need Weight Decay in Modern Deep Learning?
2023Maksym Andriushchenko, Francesco D'Angelo et al.
[7]
The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only
2023Guilherme Penedo, Quentin Malartic et al.
[8]
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
2023J. Ainslie, J. Lee-Thorp et al.
[9]
StarCoder: may the source be with you!
2023Raymond Li, Loubna Ben Allal et al.
[10]
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
2022Tri Dao, Daniel Y. Fu et al.
[11]
DeepNet: Scaling Transformers to 1,000 Layers
2022Hongyu Wang, Shuming Ma et al.
[12]
RoFormer: Enhanced Transformer with Rotary Position Embedding
2021Jianlin Su, Yu Lu et al.
[13]
Rethinking Attention with Performers
2020K. Choromanski, Valerii Likhosherstov et al.
[14]
Talking-Heads Attention
2020Noam Shazeer, Zhenzhong Lan et al.
[15]
GLU Variants Improve Transformer
2020Noam Shazeer
[16]
Scaling Laws for Neural Language Models
2020J. Kaplan, Sam McCandlish et al.
[17]
Fast Transformer Decoding: One Write-Head is All You Need
2019Noam Shazeer
[18]
Root Mean Square Layer Normalization
2019Biao Zhang, Rico Sennrich
[19]
Decoupled Weight Decay Regularization
2017I. Loshchilov, F. Hutter
[20]
On the Differential Transformer
1905A. Trowbridge

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