Please use this identifier to cite or link to this item:
Volltext verfügbar? / Dokumentlieferung
doi:10.22028/D291-47232 | Title: | ModSCAN: Measuring Stereotypical Bias in Large Vision-Language Models from Vision and Language Modalities |
| Author(s): | Jiang, Yukun Li, Zheng Shen, Xinyue Liu, Yugeng Backes, Michael Zhang, Yang |
| Language: | English |
| Title: | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing |
| Pages: | 12814-12845 |
| Publisher/Platform: | ACL |
| Year of Publication: | 2024 |
| Place of the conference: | Miami, Florida, USA |
| DDC notations: | 004 Computer science, internet |
| Publikation type: | Conference Paper |
| DOI of the first publication: | 10.18653/v1/2024.emnlp-main.713 |
| Link to this record: | urn:nbn:de:bsz:291--ds-472323 hdl:20.500.11880/41318 http://dx.doi.org/10.22028/D291-47232 |
| Date of registration: | 13-Mar-2026 |
| Faculty: | MI - Fakultät für Mathematik und Informatik |
| Department: | MI - Informatik |
| Professorship: | MI - Prof. Dr. Michael Backes |
| Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Files for this record:
There are no files associated with this item.
Items in SciDok are protected by copyright, with all rights reserved, unless otherwise indicated.