Trading Off Diversity and Quality in Natural Language Generation

22 April 2020

Papers citing "Trading Off Diversity and Quality in Natural Language Generation"

21 / 71 papers shown

Title
An Analysis of the Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation Jwala Dhamala Varun Kumar Rahul Gupta Kai-Wei Chang Aram Galstyan 34 7 0 07 Oct 2022
RankGen: Improving Text Generation with Large Ranking Models Kalpesh Krishna Yapei Chang John Wieting Mohit Iyyer AIMat 24 68 0 19 May 2022
Can Question Rewriting Help Conversational Question Answering? Etsuko Ishii Yan Xu Samuel Cahyawijaya Bryan Wilie 33 9 0 13 Apr 2022
On the probability-quality paradox in language generation Clara Meister Gian Wiher Tiago Pimentel Ryan Cotterell 36 14 0 31 Mar 2022
On Decoding Strategies for Neural Text Generators Gian Wiher Clara Meister Ryan Cotterell 30 65 0 29 Mar 2022
A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generation Shashi Narayan Gonccalo Simoes Yao-Min Zhao Joshua Maynez Dipanjan Das Michael Collins Mirella Lapata 29 30 0 28 Mar 2022
Do Language Models Plagiarize? Jooyoung Lee Thai Le Jinghui Chen Dongwon Lee 38 74 0 15 Mar 2022
Locally Typical Sampling Clara Meister Tiago Pimentel Gian Wiher Ryan Cotterell 145 86 0 01 Feb 2022
Learning Natural Language Generation from Scratch Alice Martin Donati Guillaume Quispe Charles Ollion Sylvain Le Corff Florian Strub Olivier Pietquin LRM 36 4 0 20 Sep 2021
Lingxi: A Diversity-aware Chinese Modern Poetry Generation System Xinran Zhang Maosong Sun Jiafeng Liu Xiaobing Li 36 2 0 27 Aug 2021
Language Model Evaluation in Open-ended Text Generation An Nguyen 44 3 0 08 Aug 2021
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 45 343 0 02 Feb 2021
Decoding Methods for Neural Narrative Generation Alexandra DeLucia Aaron Mueller Xiang Lisa Li João Sedoc 14 26 0 14 Oct 2020
Plug-and-Play Conversational Models Andrea Madotto Etsuko Ishii Zhaojiang Lin Sumanth Dathathri Pascale Fung 25 51 0 09 Oct 2020
A Systematic Characterization of Sampling Algorithms for Open-ended Language Generation Moin Nadeem Tianxing He Kyunghyun Cho James R. Glass 12 30 0 15 Sep 2020
Learning to summarize from human feedback Nisan Stiennon Long Ouyang Jeff Wu Daniel M. Ziegler Ryan J. Lowe Chelsea Voss Alec Radford Dario Amodei Paul Christiano ALM 56 1,994 0 02 Sep 2020
Mirostat: A Neural Text Decoding Algorithm that Directly Controls Perplexity Sourya Basu Govardana Sachithanandam Ramachandran N. Keskar Lav Varshney AAML 19 7 0 29 Jul 2020
Evaluation of Text Generation: A Survey Asli Celikyilmaz Elizabeth Clark Jianfeng Gao ELM LM&MA 19 377 0 26 Jun 2020
Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation Bryan Eikema Wilker Aziz 16 130 0 20 May 2020
Exposure Bias versus Self-Recovery: Are Distortions Really Incremental for Autoregressive Text Generation? Tianxing He Jingzhao Zhang Zhiming Zhou James R. Glass 38 32 0 25 May 2019
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 224 1,209 0 12 Jun 2017