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Language GANs Falling Short
v1v2v3v4v5v6 (latest)

Language GANs Falling Short

International Conference on Learning Representations (ICLR), 2018
6 November 2018
Massimo Caccia
Lucas Caccia
W. Fedus
Hugo Larochelle
Joelle Pineau
Laurent Charlin
ArXiv (abs)PDFHTMLGithub (59★)

Papers citing "Language GANs Falling Short"

50 / 124 papers shown
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DoubleGen: Debiased Generative Modeling of Counterfactuals
DoubleGen: Debiased Generative Modeling of Counterfactuals
Alex Luedtke
Kenji Fukumizu
97
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The Homogenizing Effect of Large Language Models on Human Expression and Thought
The Homogenizing Effect of Large Language Models on Human Expression and Thought
Zhivar Sourati
Alireza S. Ziabari
Morteza Dehghani
135
2
0
02 Aug 2025
Exploring the Impact of Temperature on Large Language Models:Hot or Cold?
Exploring the Impact of Temperature on Large Language Models:Hot or Cold?Procedia Computer Science (PCS), 2025
Lujun Li
Lama Sleem
Niccolo Gentile
Geoffrey Nichil
Radu State
137
14
0
08 Jun 2025
You Cannot Feed Two Birds with One Score: the Accuracy-Naturalness Tradeoff in Translation
You Cannot Feed Two Birds with One Score: the Accuracy-Naturalness Tradeoff in Translation
Gergely Flamich
David Vilar
Jan-Thorsten Peter
Markus Freitag
218
4
0
31 Mar 2025
Local Normalization Distortion and the Thermodynamic Formalism of Decoding Strategies for Large Language Models
Local Normalization Distortion and the Thermodynamic Formalism of Decoding Strategies for Large Language Models
Tom Kempton
Stuart Burrell
179
2
0
27 Mar 2025
Measuring Diversity in Synthetic Datasets
Measuring Diversity in Synthetic Datasets
Yuchang Zhu
Huizhe Zhang
Bingzhe Wu
Jintang Li
Zibin Zheng
Peilin Zhao
Liang Chen
Yatao Bian
421
3
0
12 Feb 2025
Turbulence: Systematically and Automatically Testing Instruction-Tuned Large Language Models for Code
Turbulence: Systematically and Automatically Testing Instruction-Tuned Large Language Models for CodeInternational Conference on Information Control Systems & Technologies (ICICST), 2023
Shahin Honarvar
Mark van der Wilk
Alastair Donaldson
435
12
0
28 Jan 2025
Inverse-RLignment: Large Language Model Alignment from Demonstrations through Inverse Reinforcement Learning
Inverse-RLignment: Large Language Model Alignment from Demonstrations through Inverse Reinforcement Learning
Hao Sun
M. Schaar
364
23
0
28 Jan 2025
Creative Beam Search: LLM-as-a-Judge For Improving Response Generation
Creative Beam Search: LLM-as-a-Judge For Improving Response Generation
Giorgio Franceschelli
Mirco Musolesi
259
11
0
30 Apr 2024
On the Challenges and Opportunities in Generative AI
On the Challenges and Opportunities in Generative AI
Laura Manduchi
Kushagra Pandey
Kushagra Pandey
Robert Bamler
Sina Daubener
...
Yixin Wang
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
720
40
0
28 Feb 2024
Implicit Chain of Thought Reasoning via Knowledge Distillation
Implicit Chain of Thought Reasoning via Knowledge Distillation
Yuntian Deng
Kiran Prasad
Roland Fernandez
P. Smolensky
Vishrav Chaudhary
Stuart M. Shieber
ReLMLRM
198
70
0
02 Nov 2023
Time-series Generation by Contrastive Imitation
Time-series Generation by Contrastive ImitationNeural Information Processing Systems (NeurIPS), 2023
Daniel Jarrett
Ioana Bica
M. Schaar
AI4TS
215
28
0
02 Nov 2023
Language Model Decoding as Direct Metrics Optimization
Language Model Decoding as Direct Metrics OptimizationInternational Conference on Learning Representations (ICLR), 2023
Haozhe Ji
Pei Ke
Hongning Wang
Shiyu Huang
298
8
0
02 Oct 2023
Beyond Traditional Teaching: The Potential of Large Language Models and
  Chatbots in Graduate Engineering Education
Beyond Traditional Teaching: The Potential of Large Language Models and Chatbots in Graduate Engineering Education
M. Abedi
Ibrahem Alshybani
M. Shahadat
M. Murillo
271
19
0
09 Sep 2023
AI-Generated Content (AIGC) for Various Data Modalities: A Survey
AI-Generated Content (AIGC) for Various Data Modalities: A SurveyACM Computing Surveys (ACM Comput. Surv.), 2023
Lin Geng Foo
Hossein Rahmani
Jing Liu
688
43
0
27 Aug 2023
Unsupervised Text Embedding Space Generation Using Generative
  Adversarial Networks for Text Synthesis
Unsupervised Text Embedding Space Generation Using Generative Adversarial Networks for Text Synthesis
Jun-Min Lee
Tae-Bin Ha
GAN
163
0
0
19 Jun 2023
MiniLLM: Knowledge Distillation of Large Language Models
MiniLLM: Knowledge Distillation of Large Language ModelsInternational Conference on Learning Representations (ICLR), 2023
Yuxian Gu
Li Dong
Furu Wei
Shiyu Huang
ALM
539
93
0
14 Jun 2023
Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized
  Language Models
Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language ModelsInternational Conference on Learning Representations (ICLR), 2023
Shangbin Feng
Weijia Shi
Yuyang Bai
Vidhisha Balachandran
Tianxing He
Yulia Tsvetkov
KELM
301
48
0
17 May 2023
Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation
  in 3D
Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3DInternational Conference on Machine Learning (ICML), 2023
Yiran Zhou
Yuxuan Song
Minkai Xu
Jingjing Gong
B. Gao
Hao Zhou
Weiying Ma
Yanyan Lan
DiffM
243
26
0
05 May 2023
Stochastic Parrots Looking for Stochastic Parrots: LLMs are Easy to
  Fine-Tune and Hard to Detect with other LLMs
Stochastic Parrots Looking for Stochastic Parrots: LLMs are Easy to Fine-Tune and Hard to Detect with other LLMs
Da Silva Gameiro Henrique
Andrei Kucharavy
R. Guerraoui
DeLMO
182
9
0
18 Apr 2023
Enhancing Text Generation with Cooperative Training
Enhancing Text Generation with Cooperative TrainingEuropean Conference on Artificial Intelligence (ECAI), 2023
Tong Wu
Hao Wang
Zhongshen Zeng
Wei Wang
Haimin Zheng
Jiaxing Zhang
SyDa
244
1
0
16 Mar 2023
Stealing the Decoding Algorithms of Language Models
Stealing the Decoding Algorithms of Language ModelsConference on Computer and Communications Security (CCS), 2023
A. Naseh
Kalpesh Krishna
Mohit Iyyer
Amir Houmansadr
MLAU
238
28
0
08 Mar 2023
Diffusing Gaussian Mixtures for Generating Categorical Data
Diffusing Gaussian Mixtures for Generating Categorical DataAAAI Conference on Artificial Intelligence (AAAI), 2023
Florence Regol
Mark Coates
DiffM
158
6
0
08 Mar 2023
Tailoring Language Generation Models under Total Variation Distance
Tailoring Language Generation Models under Total Variation DistanceInternational Conference on Learning Representations (ICLR), 2023
Haozhe Ji
Pei Ke
Zhipeng Hu
Rongsheng Zhang
Shiyu Huang
198
26
0
26 Feb 2023
Learning to Scale Temperature in Masked Self-Attention for Image
  Inpainting
Learning to Scale Temperature in Masked Self-Attention for Image Inpainting
Xiang Zhou
Yuan Zeng
Yi Gong
145
3
0
13 Feb 2023
The Next Chapter: A Study of Large Language Models in Storytelling
The Next Chapter: A Study of Large Language Models in StorytellingInternational Conference on Natural Language Generation (INLG), 2023
Zhuohan Xie
Trevor Cohn
Jey Han Lau
302
64
0
24 Jan 2023
MAUVE Scores for Generative Models: Theory and Practice
MAUVE Scores for Generative Models: Theory and PracticeJournal of machine learning research (JMLR), 2022
Krishna Pillutla
Lang Liu
John Thickstun
Sean Welleck
Swabha Swayamdipta
Rowan Zellers
Sewoong Oh
Yejin Choi
Zaïd Harchaoui
EGVM
248
29
0
30 Dec 2022
Do DALL-E and Flamingo Understand Each Other?
Do DALL-E and Flamingo Understand Each Other?IEEE International Conference on Computer Vision (ICCV), 2022
Hang Li
Jindong Gu
Rajat Koner
Sahand Sharifzadeh
Volker Tresp
MLLM
202
14
0
23 Dec 2022
Open-world Story Generation with Structured Knowledge Enhancement: A
  Comprehensive Survey
Open-world Story Generation with Structured Knowledge Enhancement: A Comprehensive Survey
Yuxin Wang
Jieru Lin
Zhiwei Yu
Wei Hu
Börje F. Karlsson
278
29
0
09 Dec 2022
DiffusionBERT: Improving Generative Masked Language Models with
  Diffusion Models
DiffusionBERT: Improving Generative Masked Language Models with Diffusion ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Zhengfu He
Tianxiang Sun
Kuan-Chieh Wang
Xuanjing Huang
Xipeng Qiu
DiffMVLM
199
199
0
28 Nov 2022
Follow the Wisdom of the Crowd: Effective Text Generation via Minimum
  Bayes Risk Decoding
Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk DecodingAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Mirac Suzgun
Luke Melas-Kyriazi
Dan Jurafsky
158
52
0
14 Nov 2022
A deep learning framework to generate realistic population and mobility
  data
A deep learning framework to generate realistic population and mobility data
Eren Arkangil
Mehmet Yildirimoglu
Jiwon Kim
Carlo G. Prato
AI4TS
134
3
0
14 Nov 2022
Self-conditioned Embedding Diffusion for Text Generation
Self-conditioned Embedding Diffusion for Text Generation
Robin Strudel
Corentin Tallec
Florent Altché
Yilun Du
Yaroslav Ganin
...
Will Grathwohl
Nikolay Savinov
Sander Dieleman
Laurent Sifre
Rémi Leblond
DiffM
203
103
0
08 Nov 2022
Evaluation of Categorical Generative Models -- Bridging the Gap Between
  Real and Synthetic Data
Evaluation of Categorical Generative Models -- Bridging the Gap Between Real and Synthetic DataIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Florence Regol
Anja Kroon
Mark Coates
ELMEGVM
145
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SentBS: Sentence-level Beam Search for Controllable Summarization
SentBS: Sentence-level Beam Search for Controllable SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Chenhui Shen
Liying Cheng
Lidong Bing
Yang You
Luo Si
216
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Fine-tune your Classifier: Finding Correlations With Temperature
Fine-tune your Classifier: Finding Correlations With TemperatureInternational Conference on Information Photonics (ICIP), 2022
Benjamin Chamand
Olivier Risser-Maroix
Camille Kurtz
P. Joly
Nicolas Loménie
231
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Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models
  with Zero Training
Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero TrainingConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
A. M. H. Tiong
Junnan Li
Boyang Albert Li
Silvio Savarese
Guosheng Lin
MLLM
241
126
0
17 Oct 2022
A Survey of Parameters Associated with the Quality of Benchmarks in NLP
A Survey of Parameters Associated with the Quality of Benchmarks in NLP
Swaroop Mishra
Anjana Arunkumar
Chris Bryan
Chitta Baral
179
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An Analysis of the Effects of Decoding Algorithms on Fairness in
  Open-Ended Language Generation
An Analysis of the Effects of Decoding Algorithms on Fairness in Open-Ended Language GenerationSpoken Language Technology Workshop (SLT), 2022
Jwala Dhamala
Varun Kumar
Rahul Gupta
Kai-Wei Chang
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154
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Reinforcement Learning with Large Action Spaces for Neural Machine
  Translation
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Asaf Yehudai
Leshem Choshen
Lior Fox
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On Reinforcement Learning and Distribution Matching for Fine-Tuning
  Language Models with no Catastrophic Forgetting
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Tomasz Korbak
Hady ElSahar
Germán Kruszewski
Marc Dymetman
CLL
284
71
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Why GANs are overkill for NLP
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David Alvarez-Melis
Vikas Garg
Adam Tauman Kalai
163
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0
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LogiGAN: Learning Logical Reasoning via Adversarial Pre-training
LogiGAN: Learning Logical Reasoning via Adversarial Pre-trainingNeural Information Processing Systems (NeurIPS), 2022
Xinyu Pi
Wanjun Zhong
Yan Gao
Nan Duan
Jian-Guang Lou
NAIGANLRMAI4CE
212
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0
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Dependency-based Mixture Language Models
Dependency-based Mixture Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Zhixian Yang
Xiaojun Wan
199
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Probing BERT's priors with serial reproduction chains
Probing BERT's priors with serial reproduction chainsFindings (Findings), 2022
Takateru Yamakoshi
Thomas Griffiths
Robert D. Hawkins
193
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Generative Cooperative Networks for Natural Language Generation
Generative Cooperative Networks for Natural Language GenerationInternational Conference on Machine Learning (ICML), 2022
Sylvain Lamprier
Thomas Scialom
Antoine Chaffin
Vincent Claveau
Ewa Kijak
Jacopo Staiano
Benjamin Piwowarski
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178
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Step-unrolled Denoising Autoencoders for Text Generation
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Nikolay Savinov
Junyoung Chung
Mikolaj Binkowski
Erich Elsen
Aaron van den Oord
DiffM
263
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Exploring Story Generation with Multi-task Objectives in Variational
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Trevor Cohn
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Bag-of-Vectors Autoencoders for Unsupervised Conditional Text Generation
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James Henderson
119
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PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided
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162
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0
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