Legal-HNet: Mixing Legal Long-Context Tokens with Hartley Transform

9 November 2023

Papers citing "Legal-HNet: Mixing Legal Long-Context Tokens with Hartley Transform"

7 / 7 papers shown

Title
Sparse Mixers: Combining MoE and Mixing to build a more efficient BERT James Lee-Thorp Joshua Ainslie MoE 30 11 0 24 May 2022
LexGLUE: A Benchmark Dataset for Legal Language Understanding in English Ilias Chalkidis Abhik Jana D. Hartung M. Bommarito Ion Androutsopoulos Daniel Martin Katz Nikolaos Aletras AILaw ELM 123 244 0 03 Oct 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 239 2,554 0 04 May 2021
Carbon Emissions and Large Neural Network Training David A. Patterson Joseph E. Gonzalez Quoc V. Le Chen Liang Lluís-Miquel Munguía D. Rothchild David R. So Maud Texier J. Dean AI4CE 239 626 0 21 Apr 2021
Big Bird: Transformers for Longer Sequences Manzil Zaheer Guru Guruganesh Kumar Avinava Dubey Joshua Ainslie Chris Alberti ... Philip Pham Anirudh Ravula Qifan Wang Li Yang Amr Ahmed VLM 249 1,982 0 28 Jul 2020
Efficient Content-Based Sparse Attention with Routing Transformers Aurko Roy M. Saffar Ashish Vaswani David Grangier MoE 228 578 0 12 Mar 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,927 0 20 Apr 2018