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Contrastive Decoding: Open-ended Text Generation as Optimization

Annual Meeting of the Association for Computational Linguistics (ACL), 2022

27 October 2022

Xiang Lisa Li

Ari Holtzman

Daniel Fried

Abigail Z. Jacobs

Jason Eisner

Tatsunori Hashimoto

Luke Zettlemoyer

M. Lewis

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Papers citing "Contrastive Decoding: Open-ended Text Generation as Optimization"

7 / 357 papers shown

Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP

Omar Khattab

Keshav Santhanam

Xiang Lisa Li

David Leo Wright Hall

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28 Dec 2022

Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss Policy for Transfer Learning

Christopher T. Lengerich

187

21 Dec 2022

Training Trajectories of Language Models Across ScalesAnnual Meeting of the Association for Computational Linguistics (ACL), 2022

Luke Zettlemoyer

264

19 Dec 2022

Momentum Decoding: Open-ended Text Generation As Graph Exploration

126

05 Dec 2022

An Empirical Study On Contrastive Search And Contrastive Decoding For Open-ended Text Generation

Yixuan Su

Jialu Xu

105

19 Nov 2022

RankGen: Improving Text Generation with Large Ranking ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022

335

19 May 2022

Pretrained Language Models for Text Generation: A SurveyACM Computing Surveys (ACM CSUR), 2022

519

257

14 Jan 2022