Token Prepending: A Training-Free Approach for Eliciting Better Sentence Embeddings from LLMs

Yuchen Fu, Zifeng Cheng, Zhiwei Jiang, Zhonghui Wang, Yafeng Yin, Zhengliang Li, Qing Gu. 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.159
Primary Topic
Law, AI, and Intellectual Property
Type
article
Field-Weighted Citation Impact
0.00

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article

Token Prepending: A Training-Free Approach for Eliciting Better Sentence Embeddings from LLMs

Zhengliang Li, Zifeng Cheng, Qing Gu, Yuchen Fu et al.
Law, AI, and Intellectual Property
article

Token Prepending: A Training-Free Approach for Eliciting Better Sentence Embeddings from LLMs

Zhengliang Li, Zifeng Cheng, Qing Gu, Yuchen Fu, Zhiwei Jiang, Yafeng Yin, Zhonghui Wang
article en

Abstract

Yuchen Fu, Zifeng Cheng, Zhiwei Jiang, Zhonghui Wang, Yafeng Yin, Zhengliang Li, Qing Gu. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.

Nanjing University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 90%
Law, AI, and Intellectual Property
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