CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

22 Citations (Scopus)

Original language	English
Title of host publication	Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Pages	17494–17508
DOIs	https://doi.org/10.18653/v1/2024.emnlp-main.968
Publication status	Published - Nov 2024

More information

@inproceedings{969e01438a834762a3cd37bb5c982e49,

title = "CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference",

author = "Erxin Yu and Jing Li and Ming Liao and Siqi Wang and Zuchen Gao and Fei Mi and Lanqing Hong",

year = "2024",

month = nov,

doi = "10.18653/v1/2024.emnlp-main.968",

language = "English",

pages = "17494–17508",

booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing",

}

CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference. / Yu, Erxin; Li, Jing; Liao, Ming et al.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. 2024. p. 17494–17508.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference

AU - Yu, Erxin

AU - Li, Jing

AU - Liao, Ming

AU - Wang, Siqi

AU - Gao, Zuchen

AU - Mi, Fei

AU - Hong, Lanqing

PY - 2024/11

Y1 - 2024/11

U2 - 10.18653/v1/2024.emnlp-main.968

DO - 10.18653/v1/2024.emnlp-main.968

M3 - Conference article published in proceeding or book

SP - 17494

EP - 17508

BT - Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

ER -