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PromptSum: Parameter-Efficient Controllable Abstractive Summarization

PromptSum: Parameter-Efficient Controllable Abstractive Summarization

6 August 2023
Mathieu Ravaut
Hailin Chen
Ruochen Zhao
Chengwei Qin
Shafiq R. Joty
Nancy Chen
ArXivPDFHTML

Papers citing "PromptSum: Parameter-Efficient Controllable Abstractive Summarization"

12 / 12 papers shown
Title
Training Dynamics for Text Summarization Models
Training Dynamics for Text Summarization Models
Tanya Goyal
Jiacheng Xu
J. Li
Greg Durrett
50
28
0
15 Oct 2021
ASPECTNEWS: Aspect-Oriented Summarization of News Documents
ASPECTNEWS: Aspect-Oriented Summarization of News Documents
Ojas Ahuja
Jiacheng Xu
A. Gupta
Kevin Horecka
Greg Durrett
76
46
0
15 Oct 2021
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
Tu Vu
Brian Lester
Noah Constant
Rami Al-Rfou
Daniel Matthew Cer
VLM
LRM
131
235
0
15 Oct 2021
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based
  on Prompt Tuning of T5
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5
Chengwei Qin
Shafiq R. Joty
CLL
150
96
0
14 Oct 2021
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in
  Abstractive Summarization
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization
Mengyao Cao
Yue Dong
Jackie C.K. Cheung
HILM
170
144
0
30 Aug 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
275
3,784
0
18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
238
1,898
0
31 Dec 2020
CTRLsum: Towards Generic Controllable Text Summarization
CTRLsum: Towards Generic Controllable Text Summarization
Junxian He
Wojciech Kry'sciñski
Bryan McCann
Nazneen Rajani
Caiming Xiong
200
124
0
08 Dec 2020
Improving Zero and Few-Shot Abstractive Summarization with Intermediate
  Fine-tuning and Data Augmentation
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
111
93
0
24 Oct 2020
Scaling Laws for Neural Language Models
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
220
3,054
0
23 Jan 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
248
1,382
0
21 Jan 2020
Teaching Machines to Read and Comprehend
Teaching Machines to Read and Comprehend
Karl Moritz Hermann
Tomás Kociský
Edward Grefenstette
L. Espeholt
W. Kay
Mustafa Suleyman
Phil Blunsom
167
3,504
0
10 Jun 2015
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