Decoding by Contrasting Knowledge: Enhancing Large Language Model Confidence on Edited Facts

Baolong Bi, Shenghua Liu, Lingrui Mei, Yiwei Wang, Junfeng Fang, Pengliang Ji, Xueqi Cheng. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.acl-long.841
Citations
2
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
4.96

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article

Decoding by Contrasting Knowledge: Enhancing Large Language Model Confidence on Edited Facts

Xueqi Cheng, Junfeng Fang, Lingrui Mei, Baolong Bi et al.
2 citations
Topic Modeling
4.96
article

Decoding by Contrasting Knowledge: Enhancing Large Language Model Confidence on Edited Facts

Xueqi Cheng, Junfeng Fang, Lingrui Mei, Baolong Bi, Pengliang Ji, Yiwei Wang, Shenghua Liu
article en
2 citations

Abstract

Baolong Bi, Shenghua Liu, Lingrui Mei, Yiwei Wang, Junfeng Fang, Pengliang Ji, Xueqi Cheng. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.

National Natural Science Foundation of China
Openalex Percentile: Top 5%
Topic Modeling
4.96
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Decoding by Contrasting Knowledge: Enhancing Large Language Model Confidence on Edited Facts — Xueqi Cheng, Junfeng Fang, et al. · (2025) | TGRS Research Map | TGRS