1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2026
Last Translation Benchmark
Vilém Zouhar, Niyati Bafna, Mukund Choudhary +263
For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, stan…
cs.LG2023★ 1 cited
On the Expressivity Role of LayerNorm in Transformers' Attention
Shaked Brody, Uri Alon, Eran Yahav
Layer Normalization (LayerNorm) is an inherent component in all Transformer-based models. In this paper, we show that LayerNorm is crucial to the expressivity of the multi-head att…
cs.LG2023
Diffusing Graph Attention
Daniel Glickman, Eran Yahav
The dominant paradigm for machine learning on graphs uses Message Passing Graph Neural Networks (MP-GNNs), in which node representations are updated by aggregating information in t…