Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Kew, Tannon"'
Autor:
Bolliger, Lena Sophia, Haller, Patrick, Cretton, Isabelle Caroline Rose, Reich, David Robert, Kew, Tannon, Jäger, Lena Ann
The Eye Movements on Machine-Generated Texts Corpus (EMTeC) is a naturalistic eye-movements-while-reading corpus of 107 native English speakers reading machine-generated texts. The texts are generated by three large language models using five differe
Externí odkaz:
http://arxiv.org/abs/2408.04289
The vast majority of today's large language models (LLMs) are English-centric, having been pretrained predominantly on English text. Yet, in order to meet user expectations, models need to be able to respond appropriately in multiple languages once d
Externí odkaz:
http://arxiv.org/abs/2312.12683
Autor:
Kew, Tannon, Chi, Alison, Vásquez-Rodríguez, Laura, Agrawal, Sweta, Aumiller, Dennis, Alva-Manchego, Fernando, Shardlow, Matthew
We present BLESS, a comprehensive performance benchmark of the most recent state-of-the-art large language models (LLMs) on the task of text simplification (TS). We examine how well off-the-shelf LLMs can solve this challenging task, assessing a tota
Externí odkaz:
http://arxiv.org/abs/2310.15773
Publikováno v:
Proceedings of the International Conference on Information Systems (ICIS); 2023, p1-17, 17p
Autor:
Rios, Annette, Spring, Nicolas, Kew, Tannon, Kostrzewa, Marek, Säuberli, Andreas, Müller, Mathias, Ebling, Sarah
Publikováno v:
Proceedings of the Third Workshop on New Frontiers in Summarization.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f291f7ee4dc2e8aed9acdb7ed13cd7e
https://doi.org/10.18653/v1/2021.newsum-1.16
https://doi.org/10.18653/v1/2021.newsum-1.16