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Language and Task Arithmetic with Parameter-Efficient Layers for
  Zero-Shot Summarization

Language and Task Arithmetic with Parameter-Efficient Layers for Zero-Shot Summarization

15 November 2023
Alexandra Chronopoulou
Jonas Pfeiffer
Joshua Maynez
Xinyi Wang
Sebastian Ruder
Priyanka Agrawal
    MoMe
ArXivPDFHTML

Papers citing "Language and Task Arithmetic with Parameter-Efficient Layers for Zero-Shot Summarization"

25 / 25 papers shown
Title
Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging
Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging
Deyuan Liu
Zhan Qin
Han Wang
Zhao Yang
Zecheng Wang
...
Zhao Lv
Zhiying Tu
Dianhui Chu
Bo Li
Dianbo Sui
80
2
0
24 Jun 2024
LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA
  Composition
LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Chengsong Huang
Qian Liu
Bill Yuchen Lin
Tianyu Pang
Chao Du
Min Lin
MoMe
94
210
0
25 Jul 2023
Multi-Head Adapter Routing for Cross-Task Generalization
Multi-Head Adapter Routing for Cross-Task Generalization
Lucas Caccia
Edoardo Ponti
Zhan Su
Matheus Pereira
Nicolas Le Roux
Alessandro Sordoni
46
23
0
07 Nov 2022
Git Re-Basin: Merging Models modulo Permutation Symmetries
Git Re-Basin: Merging Models modulo Permutation Symmetries
Samuel K. Ainsworth
J. Hayase
S. Srinivasa
MoMe
285
330
0
11 Sep 2022
Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language
  Models
Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models
Margaret Li
Suchin Gururangan
Tim Dettmers
M. Lewis
Tim Althoff
Noah A. Smith
Luke Zettlemoyer
MoMe
84
148
0
05 Aug 2022
PaLM: Scaling Language Modeling with Pathways
PaLM: Scaling Language Modeling with Pathways
Aakanksha Chowdhery
Sharan Narang
Jacob Devlin
Maarten Bosma
Gaurav Mishra
...
Kathy Meier-Hellstern
Douglas Eck
J. Dean
Slav Petrov
Noah Fiedel
PILM
LRM
471
6,231
0
05 Apr 2022
Composable Sparse Fine-Tuning for Cross-Lingual Transfer
Composable Sparse Fine-Tuning for Cross-Lingual Transfer
Alan Ansell
Edoardo Ponti
Anna Korhonen
Ivan Vulić
CLL
MoE
119
141
0
14 Oct 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
540
4,036
0
18 Apr 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li
Percy Liang
223
4,247
0
01 Jan 2021
Orthogonal Language and Task Adapters in Zero-Shot Cross-Lingual
  Transfer
Orthogonal Language and Task Adapters in Zero-Shot Cross-Lingual Transfer
M. Vidoni
Ivan Vulić
Goran Glavaš
76
27
0
11 Dec 2020
AdapterFusion: Non-Destructive Task Composition for Transfer Learning
AdapterFusion: Non-Destructive Task Composition for Transfer Learning
Jonas Pfeiffer
Aishwarya Kamath
Andreas Rucklé
Kyunghyun Cho
Iryna Gurevych
CLL
MoMe
129
848
0
01 May 2020
MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer
MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer
Jonas Pfeiffer
Ivan Vulić
Iryna Gurevych
Sebastian Ruder
96
626
0
30 Apr 2020
Recipes for Adapting Pre-trained Monolingual and Multilingual Models to
  Machine Translation
Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation
Asa Cooper Stickland
Xian Li
Marjan Ghazvininejad
68
46
0
30 Apr 2020
MLSUM: The Multilingual Summarization Corpus
MLSUM: The Multilingual Summarization Corpus
Thomas Scialom
Paul-Alexis Dray
Sylvain Lamprier
Benjamin Piwowarski
Jacopo Staiano
57
176
0
30 Apr 2020
TyDi QA: A Benchmark for Information-Seeking Question Answering in
  Typologically Diverse Languages
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages
J. Clark
Eunsol Choi
Michael Collins
Dan Garrette
Tom Kwiatkowski
Vitaly Nikolaev
J. Palomaki
141
608
0
10 Mar 2020
Stochastic Weight Averaging in Parallel: Large-Batch Training that
  Generalizes Well
Stochastic Weight Averaging in Parallel: Large-Batch Training that Generalizes Well
Vipul Gupta
S. Serrano
D. DeCoste
MoMe
69
59
0
07 Jan 2020
Unsupervised Cross-lingual Representation Learning at Scale
Unsupervised Cross-lingual Representation Learning at Scale
Alexis Conneau
Kartikay Khandelwal
Naman Goyal
Vishrav Chaudhary
Guillaume Wenzek
Francisco Guzmán
Edouard Grave
Myle Ott
Luke Zettlemoyer
Veselin Stoyanov
209
6,546
0
05 Nov 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
419
20,127
0
23 Oct 2019
Simple, Scalable Adaptation for Neural Machine Translation
Simple, Scalable Adaptation for Neural Machine Translation
Ankur Bapna
N. Arivazhagan
Orhan Firat
AI4CE
100
417
0
18 Sep 2019
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional
  Neural Networks for Extreme Summarization
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization
Shashi Narayan
Shay B. Cohen
Mirella Lapata
AILaw
119
1,674
0
27 Aug 2018
Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive
  Strategies
Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies
Max Grusky
Mor Naaman
Yoav Artzi
86
555
0
30 Apr 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
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
1.1K
7,154
0
20 Apr 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle
Michael Carbin
225
3,463
0
09 Mar 2018
Learning multiple visual domains with residual adapters
Learning multiple visual domains with residual adapters
Sylvestre-Alvise Rebuffi
Hakan Bilen
Andrea Vedaldi
OOD
160
933
0
22 May 2017
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
341
3,547
0
10 Jun 2015
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