Poster "transformers architecture" Papers

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Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data?

Yutong Yin, Zhaoran Wang

ICLR 2025posterarXiv:2501.15857
2
citations

Transformers Implement Functional Gradient Descent to Learn Non-Linear Functions In Context

Xiang Cheng, Yuxin Chen, Suvrit Sra

ICML 2024poster

Transformers Provably Learn Sparse Token Selection While Fully-Connected Nets Cannot

Zixuan Wang, Stanley Wei, Daniel Hsu et al.

ICML 2024poster