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Towards Minimal Targeted Updates of Language Models with Targeted
  Negative Training

Towards Minimal Targeted Updates of Language Models with Targeted Negative Training

19 June 2024
Lily H. Zhang
Rajesh Ranganath
Arya Tafvizi
ArXivPDFHTML

Papers citing "Towards Minimal Targeted Updates of Language Models with Targeted Negative Training"

20 / 20 papers shown
Title
Fine-Grained Human Feedback Gives Better Rewards for Language Model
  Training
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training
Zeqiu Wu
Yushi Hu
Weijia Shi
Nouha Dziri
Alane Suhr
Prithviraj Ammanabrolu
Noah A. Smith
Mari Ostendorf
Hannaneh Hajishirzi
ALM
91
317
0
02 Jun 2023
Editing Models with Task Arithmetic
Editing Models with Task Arithmetic
Gabriel Ilharco
Marco Tulio Ribeiro
Mitchell Wortsman
Suchin Gururangan
Ludwig Schmidt
Hannaneh Hajishirzi
Ali Farhadi
KELM
MoMe
MU
113
462
0
08 Dec 2022
Memory-Based Model Editing at Scale
Memory-Based Model Editing at Scale
E. Mitchell
Charles Lin
Antoine Bosselut
Christopher D. Manning
Chelsea Finn
KELM
64
337
0
13 Jun 2022
Quark: Controllable Text Generation with Reinforced Unlearning
Quark: Controllable Text Generation with Reinforced Unlearning
Ximing Lu
Sean Welleck
Jack Hessel
Liwei Jiang
Lianhui Qin
Peter West
Prithviraj Ammanabrolu
Yejin Choi
MU
90
211
0
26 May 2022
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based
  Masked Language-models
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models
Elad Ben-Zaken
Shauli Ravfogel
Yoav Goldberg
130
1,191
0
18 Jun 2021
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRL
AI4TS
AI4CE
ALM
AIMat
191
9,946
0
17 Jun 2021
DExperts: Decoding-Time Controlled Text Generation with Experts and
  Anti-Experts
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts
Alisa Liu
Maarten Sap
Ximing Lu
Swabha Swayamdipta
Chandra Bhagavatula
Noah A. Smith
Yejin Choi
MU
74
364
0
07 May 2021
The Factual Inconsistency Problem in Abstractive Text Summarization: A
  Survey
The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey
Yi-Chong Huang
Xiachong Feng
Xiaocheng Feng
Bing Qin
HILM
148
107
0
30 Apr 2021
The Curious Case of Hallucinations in Neural Machine Translation
The Curious Case of Hallucinations in Neural Machine Translation
Vikas Raunak
Arul Menezes
Marcin Junczys-Dowmunt
112
192
0
14 Apr 2021
FUDGE: Controlled Text Generation With Future Discriminators
FUDGE: Controlled Text Generation With Future Discriminators
Kevin Kaichuang Yang
Dan Klein
87
324
0
12 Apr 2021
Entity-level Factual Consistency of Abstractive Text Summarization
Entity-level Factual Consistency of Abstractive Text Summarization
Feng Nan
Ramesh Nallapati
Zhiguo Wang
Cicero Nogueira dos Santos
Henghui Zhu
Dejiao Zhang
Kathleen McKeown
Bing Xiang
HILM
161
159
0
18 Feb 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li
Percy Liang
159
4,167
0
01 Jan 2021
NeuroLogic Decoding: (Un)supervised Neural Text Generation with
  Predicate Logic Constraints
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints
Ximing Lu
Peter West
Rowan Zellers
Ronan Le Bras
Chandra Bhagavatula
Yejin Choi
NAI
65
143
0
24 Oct 2020
GeDi: Generative Discriminator Guided Sequence Generation
GeDi: Generative Discriminator Guided Sequence Generation
Ben Krause
Akhilesh Deepak Gotmare
Bryan McCann
N. Keskar
Shafiq Joty
R. Socher
Nazneen Rajani
79
398
0
14 Sep 2020
Plug and Play Language Models: A Simple Approach to Controlled Text
  Generation
Plug and Play Language Models: A Simple Approach to Controlled Text Generation
Sumanth Dathathri
Andrea Madotto
Janice Lan
Jane Hung
Eric Frank
Piero Molino
J. Yosinski
Rosanne Liu
KELM
93
957
0
04 Dec 2019
Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood
  Training
Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training
Margaret Li
Stephen Roller
Ilia Kulikov
Sean Welleck
Y-Lan Boureau
Kyunghyun Cho
Jason Weston
53
181
0
10 Nov 2019
Fine-Tuning Language Models from Human Preferences
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
420
1,664
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
95
1,652
0
27 Aug 2018
A Deep Reinforced Model for Abstractive Summarization
A Deep Reinforced Model for Abstractive Summarization
Romain Paulus
Caiming Xiong
R. Socher
AI4TS
135
1,551
0
11 May 2017
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
254
7,410
0
02 Dec 2016
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