Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Khasmakhi, Narjes Nikzad"'
Autor:
Bui, Anh Thu Maria, Brech, Saskia Felizitas, Hußfeldt, Natalie, Jennert, Tobias, Ullrich, Melanie, Breuer, Timo, Khasmakhi, Narjes Nikzad, Schaer, Philipp
Hallucination detection in Large Language Models (LLMs) is crucial for ensuring their reliability. This work presents our participation in the CLEF ELOQUENT HalluciGen shared task, where the goal is to develop evaluators for both generating and detec
Externí odkaz:
http://arxiv.org/abs/2407.09152
Autor:
Engelmann, Björn, Haak, Fabian, Kreutz, Christin Katharina, Khasmakhi, Narjes Nikzad, Schaer, Philipp
Reading levels are highly individual and can depend on a text's language, a person's cognitive abilities, or knowledge on a topic. Text simplification is the task of rephrasing a text to better cater to the abilities of a specific target reader group
Externí odkaz:
http://arxiv.org/abs/2307.03569
Autor:
Khasmakhi, Narjes Nikzad, Asgari-Chenaghlu, Meysam, Asghar, Nabiha, Schaer, Philipp, Zühlke, Dietlind
Conversational generative vision models (CGVMs) like Visual ChatGPT (Wu et al., 2023) have recently emerged from the synthesis of computer vision and natural language processing techniques. These models enable more natural and interactive communicati
Externí odkaz:
http://arxiv.org/abs/2305.17784
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.