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pro vyhledávání: '"Rajan, Sai Sathiesh"'
In this work, we systematically expose and measure the inconsistency and knowledge gaps of Large Language Models (LLMs). Specifically, we propose an automated testing framework (called KonTest) which leverages a knowledge graph to construct test case
Externí odkaz:
http://arxiv.org/abs/2407.12830
Ensuring that all classes of objects are detected with equal accuracy is essential in AI systems. For instance, being unable to identify any one class of objects could have fatal consequences in autonomous driving systems. Hence, ensuring the reliabi
Externí odkaz:
http://arxiv.org/abs/2305.13935
Publikováno v:
In The Journal of Systems & Software September 2024 215
Automatic Speech Recognition (ASR) systems have become ubiquitous. They can be found in a variety of form factors and are increasingly important in our daily lives. As such, ensuring that these systems are equitable to different subgroups of the popu
Externí odkaz:
http://arxiv.org/abs/2110.09843
Responding to a call to embrace "digital humanities accents" (Risam 2018) as a radical act towards postcolonial epistemologies, this short paper discusses how a team of software engineers and a humanist is developing a discursive framework to assess
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd9a1d343ad47a8574bf96feeb06bded