SPEC: Summary Preference Decomposition for Low-Resource Abstractive Summarization

24 March 2023

Papers citing "SPEC: Summary Preference Decomposition for Low-Resource Abstractive Summarization"

8 / 8 papers shown

Title
SINC: Self-Supervised In-Context Learning for Vision-Language Tasks Yi-Syuan Chen Yun-Zhu Song Cheng Yu Yeo Bei Liu Jianlong Fu Hong-Han Shuai VLM LRM 24 4 0 15 Jul 2023
Exploring Multitask Learning for Low-Resource AbstractiveSummarization Ahmed Magooda Mohamed S. Elaraby Diane Litman 36 11 0 17 Sep 2021
Controllable Summarization with Constrained Markov Decision Process Hou Pong Chan Lu Wang Irwin King 199 20 0 07 Aug 2021
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation Alexander R. Fabbri Simeng Han Haoyuan Li Haoran Li Marjan Ghazvininejad Shafiq R. Joty Dragomir R. Radev Yashar Mehdad 119 93 0 24 Oct 2020
Fine-Tuning Language Models from Human Preferences Daniel M. Ziegler Nisan Stiennon Jeff Wu Tom B. Brown Alec Radford Dario Amodei Paul Christiano G. Irving ALM 275 1,561 0 18 Sep 2019
Text Summarization with Pretrained Encoders Yang Liu Mirella Lapata MILM 248 1,417 0 22 Aug 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 170 3,504 0 10 Jun 2015