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Empirical Inference Conference Paper 2025

Improving Large Language Model Safety with Contrastive Representation Learning

arXiv
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Empirical Inference
Bernhard Schölkopf
  • Director
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Empirical Inference
Zhijing Jin
Research Scientist

Author(s): Simko, S. and Sachan, M. and Schölkopf, B. and Jin, Z.
Links:
Book Title: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Pages: 28166--28194
Year: 2025
Month: November
Editors: Christodoulopoulos, Christos and Chakraborty, Tanmoy and Rose, Carolyn and Peng, Violet
Publisher: Association for Computational Linguistics
BibTeX Type: Conference Paper (conference)
DOI: 10.18653/v1/2025.emnlp-main.1430
Event Place: Suzhou, China
State: Published
URL: https://aclanthology.org/2025.emnlp-main.1430/

BibTeX 

@conference{SimSacSchJin25,
  title = {Improving Large Language Model Safety with Contrastive Representation Learning},
  booktitle = {Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  pages = {28166--28194},
  editors = {Christodoulopoulos, Christos and Chakraborty, Tanmoy and Rose, Carolyn and Peng, Violet},
  publisher = {Association for Computational Linguistics},
  month = nov,
  year = {2025},
  author = {Simko, S. and Sachan, M. and Sch{\"o}lkopf, B. and Jin, Z.},
  doi = {10.18653/v1/2025.emnlp-main.1430},
  url = {https://aclanthology.org/2025.emnlp-main.1430/},
  month_numeric = {11}
}