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Steering Language Generation: Harnessing Contrastive Expert Guidance and
  Negative Prompting for Coherent and Diverse Synthetic Data Generation

Steering Language Generation: Harnessing Contrastive Expert Guidance and Negative Prompting for Coherent and Diverse Synthetic Data Generation

15 August 2023
Charles OÑeill
Y. Ting 丁
I. Ciucă
Jack Miller
Thang Bui
    SyDa
ArXivPDFHTML

Papers citing "Steering Language Generation: Harnessing Contrastive Expert Guidance and Negative Prompting for Coherent and Diverse Synthetic Data Generation"

50 / 62 papers shown
Title
Aligning Instruction Tuning with Pre-training
Aligning Instruction Tuning with Pre-training
Yiming Liang
Tianyu Zheng
Xinrun Du
Ge Zhang
Qingbin Liu
...
Zhaoxiang Zhang
Wenhao Huang
Jiajun Zhang
Xiang Yue
Jiajun Zhang
136
2
0
16 Jan 2025
Stay on topic with Classifier-Free Guidance
Stay on topic with Classifier-Free Guidance
Guillaume Sanchez
Honglu Fan
Alexander Spangher
Elad Levi
Pawan Sasanka Ammanamanchi
Stella Biderman
3DV
60
50
0
30 Jun 2023
Art and the science of generative AI: A deeper dive
Art and the science of generative AI: A deeper dive
Ziv Epstein
Aaron Hertzmann
L. Herman
Robert Mahari
M. Frank
...
Jessica Fjeld
Hany Farid
Neil Leach
Alex Pentland
Olga Russakovsky
47
303
0
07 Jun 2023
Increasing Diversity While Maintaining Accuracy: Text Data Generation
  with Large Language Models and Human Interventions
Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions
John Joon Young Chung
Ece Kamar
Saleema Amershi
ALM
87
117
0
07 Jun 2023
Negative-prompt Inversion: Fast Image Inversion for Editing with
  Text-guided Diffusion Models
Negative-prompt Inversion: Fast Image Inversion for Editing with Text-guided Diffusion Models
Daiki Miyake
Akihiro Iohara
Yuriko Saito
Toshiyuki Tanaka
DiffM
61
117
0
26 May 2023
Generating Faithful Synthetic Data with Large Language Models: A Case
  Study in Computational Social Science
Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Science
V. Veselovsky
Manoel Horta Ribeiro
Akhil Arora
Martin Josifoski
Ashton Anderson
Robert West
SyDa
HILM
45
31
0
24 May 2023
Trusting Your Evidence: Hallucinate Less with Context-aware Decoding
Trusting Your Evidence: Hallucinate Less with Context-aware Decoding
Weijia Shi
Xiaochuang Han
M. Lewis
Yulia Tsvetkov
Luke Zettlemoyer
Scott Yih
HILM
54
200
0
24 May 2023
TinyStories: How Small Can Language Models Be and Still Speak Coherent
  English?
TinyStories: How Small Can Language Models Be and Still Speak Coherent English?
Ronen Eldan
Yuan-Fang Li
SyDa
LRM
50
255
0
12 May 2023
The Parrot Dilemma: Human-Labeled vs. LLM-augmented Data in
  Classification Tasks
The Parrot Dilemma: Human-Labeled vs. LLM-augmented Data in Classification Tasks
Anders Giovanni Møller
Jacob Aarup Dalsgaard
Arianna Pera
L. Aiello
88
37
0
26 Apr 2023
Semantic Compression With Large Language Models
Semantic Compression With Large Language Models
Henry Gilbert
Michael Sandborn
Douglas C. Schmidt
Jesse Spencer-Smith
Jules White
39
22
0
25 Apr 2023
A Latent Space Theory for Emergent Abilities in Large Language Models
A Latent Space Theory for Emergent Abilities in Large Language Models
Hui Jiang
LRM
53
36
0
19 Apr 2023
Synthetically generated text for supervised text analysis
Synthetically generated text for supervised text analysis
Andrew Halterman
DeLMO
41
6
0
28 Mar 2023
Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and
  the Case of Information Extraction
Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction
Martin Josifoski
Marija Sakota
Maxime Peyrard
Robert West
SyDa
83
81
0
07 Mar 2023
Machine Learning for Synthetic Data Generation: A Review
Machine Learning for Synthetic Data Generation: A Review
Ying-Cheng Lu
Minjie Shen
Huazheng Wang
Xiao Wang
Capucine Van Rechem
Tianfan Fu
Wenqi Wei
SyDa
70
142
0
08 Feb 2023
Talking About Large Language Models
Talking About Large Language Models
Murray Shanahan
AI4CE
58
257
0
07 Dec 2022
Contrastive Decoding: Open-ended Text Generation as Optimization
Contrastive Decoding: Open-ended Text Generation as Optimization
Xiang Lisa Li
Ari Holtzman
Daniel Fried
Percy Liang
Jason Eisner
Tatsunori Hashimoto
Luke Zettlemoyer
M. Lewis
82
348
0
27 Oct 2022
On the Transformation of Latent Space in Fine-Tuned NLP Models
On the Transformation of Latent Space in Fine-Tuned NLP Models
Nadir Durrani
Hassan Sajjad
Fahim Dalvi
Firoj Alam
84
19
0
23 Oct 2022
Scaling Instruction-Finetuned Language Models
Scaling Instruction-Finetuned Language Models
Hyung Won Chung
Le Hou
Shayne Longpre
Barret Zoph
Yi Tay
...
Jacob Devlin
Adam Roberts
Denny Zhou
Quoc V. Le
Jason W. Wei
ReLM
LRM
151
3,072
0
20 Oct 2022
Rule-adhering synthetic data -- the lingua franca of learning
Rule-adhering synthetic data -- the lingua franca of learning
Michaela D. Platzer
Ivona Krchova
79
2
0
12 Sep 2022
Classifier-Free Diffusion Guidance
Classifier-Free Diffusion Guidance
Jonathan Ho
Tim Salimans
FaML
131
3,830
0
26 Jul 2022
Emergent Abilities of Large Language Models
Emergent Abilities of Large Language Models
Jason W. Wei
Yi Tay
Rishi Bommasani
Colin Raffel
Barret Zoph
...
Tatsunori Hashimoto
Oriol Vinyals
Percy Liang
J. Dean
W. Fedus
ELM
ReLM
LRM
189
2,428
0
15 Jun 2022
Classifiers are Better Experts for Controllable Text Generation
Classifiers are Better Experts for Controllable Text Generation
Askhat Sitdikov
Nikita Balagansky
Daniil Gavrilov
Alexander Markov
60
7
0
15 May 2022
TreeMix: Compositional Constituency-based Data Augmentation for Natural
  Language Understanding
TreeMix: Compositional Constituency-based Data Augmentation for Natural Language Understanding
Le Zhang
Zichao Yang
Diyi Yang
59
24
0
12 May 2022
VQGAN-CLIP: Open Domain Image Generation and Editing with Natural
  Language Guidance
VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance
Katherine Crowson
Stella Biderman
Daniel Kornis
Dashiell Stander
Eric Hallahan
Louis Castricato
Edward Raff
CLIP
102
375
0
18 Apr 2022
Using Synthetic Data for Conversational Response Generation in
  Low-resource Settings
Using Synthetic Data for Conversational Response Generation in Low-resource Settings
Gabriel Louis Tan
Adrian Paule Ty
Schuyler Ng
Denzel Adrian Co
Jan Christian Blaise Cruz
C. Cheng
SyDa
38
2
0
06 Apr 2022
Data Augmentation for Intent Classification with Off-the-shelf Large
  Language Models
Data Augmentation for Intent Classification with Off-the-shelf Large Language Models
Gaurav Sahu
Pau Rodríguez López
I. Laradji
Parmida Atighehchian
David Vazquez
Dzmitry Bahdanau
57
61
0
05 Apr 2022
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and
  Implicit Hate Speech Detection
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection
Thomas Hartvigsen
Saadia Gabriel
Hamid Palangi
Maarten Sap
Dipankar Ray
Ece Kamar
51
362
0
17 Mar 2022
Faithfulness in Natural Language Generation: A Systematic Survey of
  Analysis, Evaluation and Optimization Methods
Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methods
Wei Li
Wenhao Wu
Moye Chen
Jiachen Liu
Xinyan Xiao
Hua Wu
HILM
85
27
0
10 Mar 2022
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
199
30,069
0
01 Mar 2022
Text Smoothing: Enhance Various Data Augmentation Methods on Text
  Classification Tasks
Text Smoothing: Enhance Various Data Augmentation Methods on Text Classification Tasks
Xing Wu
Chaochen Gao
Meng Lin
Liangjun Zang
Zhongyuan Wang
Songlin Hu
31
26
0
28 Feb 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
298
15,081
0
20 Dec 2021
Coherence boosting: When your pretrained language model is not paying
  enough attention
Coherence boosting: When your pretrained language model is not paying enough attention
Nikolay Malkin
Zhen Wang
Nebojsa Jojic
RALM
31
35
0
15 Oct 2021
Generate, Annotate, and Learn: NLP with Synthetic Text
Generate, Annotate, and Learn: NLP with Synthetic Text
Xuanli He
Islam Nassar
J. Kiros
Gholamreza Haffari
Mohammad Norouzi
52
52
0
11 Jun 2021
Latent Space Refinement for Deep Generative Models
Latent Space Refinement for Deep Generative Models
R. Winterhalder
Marco Bellagente
Benjamin Nachman
BDL
GAN
DRL
DiffM
68
27
0
01 Jun 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
150
7,639
0
11 May 2021
A Survey of Data Augmentation Approaches for NLP
A Survey of Data Augmentation Approaches for NLP
Steven Y. Feng
Varun Gangal
Jason W. Wei
Sarath Chandar
Soroush Vosoughi
Teruko Mitamura
Eduard H. Hovy
AIMat
88
813
0
07 May 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
96
369
0
07 May 2021
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation
Kang Min Yoo
Dongju Park
Jaewook Kang
Sang-Woo Lee
Woomyeong Park
79
238
0
18 Apr 2021
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating
  and Auditing Generative Models
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
Ahmed Alaa
B. V. Breugel
Evgeny S. Saveliev
M. Schaar
83
189
0
17 Feb 2021
MAUVE: Measuring the Gap Between Neural Text and Human Text using
  Divergence Frontiers
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers
Krishna Pillutla
Swabha Swayamdipta
Rowan Zellers
John Thickstun
Sean Welleck
Yejin Choi
Zaïd Harchaoui
89
347
0
02 Feb 2021
Data Boost: Text Data Augmentation Through Reinforcement Learning Guided
  Conditional Generation
Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation
Ruibo Liu
Guangxuan Xu
Chenyan Jia
Weicheng Ma
Lili Wang
Soroush Vosoughi
44
108
0
05 Dec 2020
Sequence-Level Mixed Sample Data Augmentation
Sequence-Level Mixed Sample Data Augmentation
Demi Guo
Yoon Kim
Alexander M. Rush
53
99
0
18 Nov 2020
SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving
  Out-of-Domain Robustness
SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness
Nathan Ng
Kyunghyun Cho
Marzyeh Ghassemi
53
146
0
21 Sep 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
87
398
0
14 Sep 2020
Compositional Visual Generation and Inference with Energy Based Models
Compositional Visual Generation and Inference with Energy Based Models
Yilun Du
Shuang Li
Igor Mordatch
CoGe
46
23
0
13 Apr 2020
A Non-Parametric Test to Detect Data-Copying in Generative Models
A Non-Parametric Test to Detect Data-Copying in Generative Models
Casey Meehan
Kamalika Chaudhuri
S. Dasgupta
42
63
0
12 Apr 2020
CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot
  Intent Detection
CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection
Congying Xia
Chenwei Zhang
Hoang Nguyen
Jiawei Zhang
Philip Yu
26
43
0
04 Apr 2020
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
259
10,591
0
17 Feb 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
106
966
0
04 Dec 2019
Investigating Under and Overfitting in Wasserstein Generative
  Adversarial Networks
Investigating Under and Overfitting in Wasserstein Generative Adversarial Networks
Ben Adlam
Charles Weill
Amol Kapoor
32
17
0
30 Oct 2019
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