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HistAlign: Improving Context Dependency in Language Generation by
Aligning with History

v1v2 (latest)

HistAlign: Improving Context Dependency in Language Generation by Aligning with History

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023

8 May 2023

Joey Tianyi Zhou

ArXiv (abs)PDF HTML Github (3★)

Papers citing "HistAlign: Improving Context Dependency in Language Generation by Aligning with History"

4 / 4 papers shown

Hallucinate at the Last in Long Response Generation: A Case Study on Long Document Summarization

Hallucinate at the Last in Long Response Generation: A Case Study on Long Document Summarization

Byeongjeong Kim

693

4

0

21 May 2025

AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric Knowledge

AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric KnowledgeNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024

Elias Stengel-Eskin

Joey Tianyi Zhou

545

25

0

11 Sep 2024

Cognitive Mirage: A Review of Hallucinations in Large Language Models

Cognitive Mirage: A Review of Hallucinations in Large Language Models

441

127

0

13 Sep 2023

Revisiting the Architectures like Pointer Networks to Efficiently
Improve the Next Word Distribution, Summarization Factuality, and Beyond

Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and BeyondAnnual Meeting of the Association for Computational Linguistics (ACL), 2023

Haw-Shiuan Chang

Andrew McCallum

303

12

0

20 May 2023

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