5 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CL2026
Better and Worse with Scale: How Contextual Entrainment Diverges with Model Size
Dikshant Kukreja, Kshitij Sah, Gautam Gupta +5
Larger language models become simultaneously better and worse at handling contextual information -- better at ignoring false claims, worse at ignoring irrelevant tokens. We formali…
cs.CV2021★ 5 cited
SCENIC: A JAX Library for Computer Vision Research and Beyond
Mostafa Dehghani, Alexey Gritsenko, Anurag Arnab +2
Scenic is an open-source JAX library with a focus on Transformer-based models for computer vision research and beyond. The goal of this toolkit is to facilitate rapid experimentati…
cs.AI2017★ 2 cited
Multi-task Neural Network for Non-discrete Attribute Prediction in Knowledge Graphs
Yi Tay, Luu Anh Tuan, Minh C. Phan +1
Many popular knowledge graphs such as Freebase, YAGO or DBPedia maintain a list of non-discrete attributes for each entity. Intuitively, these attributes such as height, price or p…