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On the Efficacy of Sampling Adapters

On the Efficacy of Sampling Adapters

7 July 2023
Clara Meister
Tiago Pimentel
Luca Malagutti
Ethan Gotlieb Wilcox
Ryan Cotterell
ArXivPDFHTML

Papers citing "On the Efficacy of Sampling Adapters"

33 / 33 papers shown
Title
What do Language Model Probabilities Represent? From Distribution Estimation to Response Prediction
What do Language Model Probabilities Represent? From Distribution Estimation to Response Prediction
Eitan Wagner
Omri Abend
101
1
0
04 May 2025
GPT-4 Technical Report
GPT-4 Technical Report
OpenAI OpenAI
OpenAI Josh Achiam
Steven Adler
Sandhini Agarwal
Lama Ahmad
...
Shengjia Zhao
Tianhao Zheng
Juntang Zhuang
William Zhuk
Barret Zoph
LLMAG
MLLM
1.4K
14,359
0
15 Mar 2023
A Measure-Theoretic Characterization of Tight Language Models
A Measure-Theoretic Characterization of Tight Language Models
Li Du
Lucas Torroba Hennigen
Tiago Pimentel
Clara Meister
Jason Eisner
Ryan Cotterell
61
32
0
20 Dec 2022
Training Trajectories of Language Models Across Scales
Training Trajectories of Language Models Across Scales
Mengzhou Xia
Mikel Artetxe
Chunting Zhou
Xi Lin
Ramakanth Pasunuru
Danqi Chen
Luke Zettlemoyer
Ves Stoyanov
AIFin
LRM
81
61
0
19 Dec 2022
Truncation Sampling as Language Model Desmoothing
Truncation Sampling as Language Model Desmoothing
John Hewitt
Christopher D. Manning
Percy Liang
BDL
75
81
0
27 Oct 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
104
359
0
27 Oct 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
477
6,240
0
05 Apr 2022
On the probability-quality paradox in language generation
On the probability-quality paradox in language generation
Clara Meister
Gian Wiher
Tiago Pimentel
Ryan Cotterell
62
14
0
31 Mar 2022
On Decoding Strategies for Neural Text Generators
On Decoding Strategies for Neural Text Generators
Gian Wiher
Clara Meister
Ryan Cotterell
77
68
0
29 Mar 2022
Locally Typical Sampling
Locally Typical Sampling
Clara Meister
Tiago Pimentel
Gian Wiher
Ryan Cotterell
181
89
0
01 Feb 2022
All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated
  Text
All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Text
Elizabeth Clark
Tal August
Sofia Serrano
Nikita Haduong
Suchin Gururangan
Noah A. Smith
DeLMO
103
410
0
30 Jun 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
100
360
0
02 Feb 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
450
2,096
0
31 Dec 2020
Text Generation by Learning from Demonstrations
Text Generation by Learning from Demonstrations
Richard Yuanzhe Pang
He He
OffRL
58
80
0
16 Sep 2020
A Systematic Characterization of Sampling Algorithms for Open-ended
  Language Generation
A Systematic Characterization of Sampling Algorithms for Open-ended Language Generation
Moin Nadeem
Tianxing He
Kyunghyun Cho
James R. Glass
41
31
0
15 Sep 2020
Mirostat: A Neural Text Decoding Algorithm that Directly Controls
  Perplexity
Mirostat: A Neural Text Decoding Algorithm that Directly Controls Perplexity
Sourya Basu
Govardana Sachithanandam Ramachandran
N. Keskar
Lav Varshney
AAML
51
7
0
29 Jul 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
755
41,932
0
28 May 2020
Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural
  Machine Translation
Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation
Bryan Eikema
Wilker Aziz
72
135
0
20 May 2020
Generalized Entropy Regularization or: There's Nothing Special about
  Label Smoothing
Generalized Entropy Regularization or: There's Nothing Special about Label Smoothing
Clara Meister
Elizabeth Salesky
Ryan Cotterell
UQCV
41
61
0
02 May 2020
Improved Natural Language Generation via Loss Truncation
Improved Natural Language Generation via Loss Truncation
Daniel Kang
Tatsunori Hashimoto
58
97
0
30 Apr 2020
Trading Off Diversity and Quality in Natural Language Generation
Trading Off Diversity and Quality in Natural Language Generation
Hugh Zhang
Daniel Duckworth
Daphne Ippolito
Arvind Neelakantan
66
96
0
22 Apr 2020
Sparse Text Generation
Sparse Text Generation
Pedro Henrique Martins
Zita Marinho
André F. T. Martins
MoE
39
39
0
06 Apr 2020
Neural Text Generation with Unlikelihood Training
Neural Text Generation with Unlikelihood Training
Sean Welleck
Ilia Kulikov
Stephen Roller
Emily Dinan
Kyunghyun Cho
Jason Weston
MU
45
576
0
12 Aug 2019
Calibration, Entropy Rates, and Memory in Language Models
Calibration, Entropy Rates, and Memory in Language Models
M. Braverman
Xinyi Chen
Sham Kakade
Karthik Narasimhan
Cyril Zhang
Yi Zhang
58
39
0
11 Jun 2019
Sparse Sequence-to-Sequence Models
Sparse Sequence-to-Sequence Models
Ben Peters
Vlad Niculae
André F. T. Martins
TPM
172
212
0
14 May 2019
The Curious Case of Neural Text Degeneration
The Curious Case of Neural Text Degeneration
Ari Holtzman
Jan Buys
Li Du
Maxwell Forbes
Yejin Choi
184
3,175
0
22 Apr 2019
Unifying Human and Statistical Evaluation for Natural Language
  Generation
Unifying Human and Statistical Evaluation for Natural Language Generation
Tatsunori B. Hashimoto
Hugh Zhang
Percy Liang
66
223
0
04 Apr 2019
Assessing Generative Models via Precision and Recall
Assessing Generative Models via Precision and Recall
Mehdi S. M. Sajjadi
Olivier Bachem
Mario Lucic
Olivier Bousquet
Sylvain Gelly
EGVM
78
577
0
31 May 2018
Hierarchical Neural Story Generation
Hierarchical Neural Story Generation
Angela Fan
M. Lewis
Yann N. Dauphin
DiffM
173
1,619
0
13 May 2018
Are GANs Created Equal? A Large-Scale Study
Are GANs Created Equal? A Large-Scale Study
Mario Lucic
Karol Kurach
Marcin Michalski
Sylvain Gelly
Olivier Bousquet
EGVM
60
1,011
0
28 Nov 2017
Pointer Sentinel Mixture Models
Pointer Sentinel Mixture Models
Stephen Merity
Caiming Xiong
James Bradbury
R. Socher
RALM
314
2,859
0
26 Sep 2016
How (not) to Train your Generative Model: Scheduled Sampling,
  Likelihood, Adversary?
How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary?
Ferenc Huszár
OOD
DiffM
GAN
84
296
0
16 Nov 2015
A note on the evaluation of generative models
A note on the evaluation of generative models
Lucas Theis
Aaron van den Oord
Matthias Bethge
EGVM
126
1,145
0
05 Nov 2015
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