Reproduce “Multi-Stream Attention Residuals” on OpenResearch
Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.
Universal app for Apple silicon and Intel. Requires macOS 11 or later.
About this paper
Xiaohan Qin, Xiangdong Zhang, Tuo Dai, Sunan Zou, Huaijin Wu, Yebin Yang, Zhuo Xia, Lin Yao and 2 more
MSAR lets Transformer layers retrieve earlier representations through multiple contextual views. It applies causal convolutions to single-stream sources, performs separate depth retrieval for each view, then fuses the results into one layer input. In the authors’ DeepSeekMoE-style experiments, it leads tested baselines on all 12 benchmarks at 18B and 28B; results are limited to these evaluated models and setup.
Summary by alphaXiv.
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.