Machine learning foundations· 2025
Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free
DOI 10.52202/085713-3345arXiv 2505.06708OpenAlex W4417514206
On the reading lists
- #71 in Machine learning foundations (2026 edition)
The record
- First released
- 2025 (from arXiv 2505.06708)
- Citations
- 351 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- the chatgpt list only
- Score
- 0.274 · computed rank 671 · consensus 0.175, must-read 0, citations percentile 0.632 (2020s · foundations), awards 0, existing lists 0. Method
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.