Ailiang Lin, Zhuoyun Li, Keyu Mao, Kotaro Funakoshi, Manabu Okumura. Embedding-based In-Context Prompt Training for Enhancing LLMs as Text Encoders. In Maria Liakata, Viviane P. Moreira, Jiajun Zhang 0001, David Jurgens, editors, Findings of the Association for Computational Linguistics, ACL 2026, San Diego, California, United States, July 2-7, 2026. pages 29079-29095, Association for Computational Linguistics, 2026. [doi]
@inproceedings{LinLMFO26,
title = {Embedding-based In-Context Prompt Training for Enhancing LLMs as Text Encoders},
author = {Ailiang Lin and Zhuoyun Li and Keyu Mao and Kotaro Funakoshi and Manabu Okumura},
year = {2026},
url = {https://aclanthology.org/2026.findings-acl.1454/},
researchr = {https://researchr.org/publication/LinLMFO26},
cites = {0},
citedby = {0},
pages = {29079-29095},
booktitle = {Findings of the Association for Computational Linguistics, ACL 2026, San Diego, California, United States, July 2-7, 2026},
editor = {Maria Liakata and Viviane P. Moreira and Jiajun Zhang 0001 and David Jurgens},
publisher = {Association for Computational Linguistics},
isbn = {979-8-89176-395-1},
}