Reducing Sequence Length by Predicting Edit Operations with Large Language Models

19 May 2023

Papers citing "Reducing Sequence Length by Predicting Edit Operations with Large Language Models"

8 / 8 papers shown

Title
Learning to Adapt to Low-Resource Paraphrase Generation Zhigen Li Yanmeng Wang Rizhao Fan Ye Wang Jianfeng Li Shaojun Wang 124 3 0 22 Dec 2024
A Little Leak Will Sink a Great Ship: Survey of Transparency for Large Language Models from Start to Finish Masahiro Kaneko Timothy Baldwin PILM 28 3 0 24 Mar 2024
LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions Minghao Wu Abdul Waheed Chiyu Zhang Muhammad Abdul-Mageed Alham Fikri Aji ALM 132 119 0 27 Apr 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 319 11,953 0 04 Mar 2022
A Unified Strategy for Multilingual Grammatical Error Correction with Pre-trained Cross-Lingual Language Model Xin Sun Tao Ge Shuming Ma Jingjing Li Furu Wei Houfeng Wang SyDa 36 26 0 26 Jan 2022
Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfer Huiyuan Lai Antonio Toral Malvina Nissim 29 56 0 14 May 2021
Efficient Content-Based Sparse Attention with Routing Transformers Aurko Roy M. Saffar Ashish Vaswani David Grangier MoE 246 580 0 12 Mar 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 258 4,489 0 23 Jan 2020