ICML 2024 "length generalization" Papers

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Case-Based or Rule-Based: How Do Transformers Do the Math?

Yi Hu, Xiaojuan Tang, Haotong Yang et al.

ICML 2024poster

Gated Linear Attention Transformers with Hardware-Efficient Training

Songlin Yang, Bailin Wang, Yikang Shen et al.

ICML 2024poster

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

Zixuan Wang, Stanley Wei, Daniel Hsu et al.

ICML 2024poster