Result: Measuring pointwise V-usable information in-context-ly

*Title*:

Measuring pointwise V-usable information in-context-ly / Sheng Lu, Shan Chen, Yingya Li, Danielle Bitterman, Guergana Savova, Iryna Gurevych

*Author/editor-in-chief*:

Lu, Sheng (Verfasser); Chen, Shan (Verfasser); Li, Yingya (Verfasser); Bitterman, Danielle (Verfasser); Savova, Guergana (Verfasser); Gurevych, Iryna (Verfasser)

*Published in*:

Bouamor, Houda$BHerausgeber$4edt. The 2023 Conference on Empirical Methods in Natural Language Processing - Findings of the Association for Computational Linguistics: EMNLP 2023. - Stroudsburg, PA : Association for Computational Linguistics (ACL)f2023. - ISBN 9798891760615. - (2023), Seite 15739-15756

*Publication*:

Singapore, 2023

*Format*:

*eArticle*

*Language*:

*eng*

*Subject Added Keywords*:

*DOI*:

10.18653/v1/2023.findings-emnlp.1054

*oa_rights*:

Open Access
CC BY 4.0

*Result*: Measuring pointwise V-usable information in-context-ly

*Additional information*

*Additional functions*

Result: Measuring pointwise V-usable information in-context-ly

Additional information

Additional functions