Adapting Pretrained Text-to-Text Models for Long Text Sequences

Adapting Pretrained Text-to-Text Models for Long Text Sequences

21 September 2022

Shubham Toshniwal

Yashar Mehdad

Papers citing "Adapting Pretrained Text-to-Text Models for Long Text Sequences"

5 / 5 papers shown

Title
Can Large Language Model Summarizers Adapt to Diverse Scientific Communication Goals? Marcio Fonseca Shay B. Cohen 26 10 0 18 Jan 2024
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 236 1,508 0 31 Dec 2020
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 246 1,982 0 28 Jul 2020
Efficient Content-Based Sparse Attention with Routing Transformers Aurko Roy M. Saffar Ashish Vaswani David Grangier MoE 228 502 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