Lu, Sheng ; Bigoulaeva, Irina ; Sachdeva, Rachneet ; Madabushi, Harish Tayyar ; Gurevych, Iryna (2024)
Are Emergent Abilities in Large Language Models just In-Context Learning?
62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand (11.08.2024 - 16.08.2024)
Konferenzveröffentlichung, Bibliographie

Lu, Sheng ; Hendrik, Schuff ; Gurevych, Iryna (2024)
How are Prompts Different in Terms of Sensitivity?
2024 Conference of the North American Chapter of the Association for Computational Linguistics. Mexico City, Mexico (17-21.06.2024)
Konferenzveröffentlichung, Bibliographie

Kuznetsov, Ilia ; Afzal, Osama Mohammed ; Dercksen, Koen ; Dycke, Nils ; Goldberg, Alexander ; Hope, Tom ; Hovy, Dirk ; Kummerfeld, Jonathan K. ; Lauscher, Anne ; Leyton-Brown, Kevin ; Lu, Sheng ; Mausam, Mausam ; Mieskes, Margot ; Névéol, Aurélie ; Pruthi, Danish ; Qu, Lizhen ; Schwartz, Roy ; Smith, Noah A. ; Solorio, Thamar ; Wang, Jingyan ; Zhu, Xiaodan ; Rogers, Anna ; Shah, Nihar B. ; Gurevych, Iryna (2024)
What Can Natural Language Processing Do for Peer Review?
doi: 10.48550/arXiv.2405.06563
Report, Bibliographie

Lu, Sheng ; Chen, Shan ; Li, Yingya ; Bitterman, Danielle ; Savova, Guergana ; Gurevych, Iryna (2023)
Measuring Pointwise V-Usable Information In-Context-ly.
2023 Conference on Empirical Methods in Natural Language Processing. Singapore (06.12.2023-10.12.2023)
doi: 10.18653/v1/2023.findings-emnlp.1054
Konferenzveröffentlichung, Bibliographie