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pro vyhledávání: '"Barney, Elisa"'
Autor:
Pagliai, Irene, van Boven, Goya, Adewumi, Tosin, Alkhaled, Lama, Gurung, Namrata, Södergren, Isabella, Barney, Elisa
We introduce new large labeled datasets on bias in 3 languages and show in experiments that bias exists in all 10 datasets of 5 languages evaluated, including benchmark datasets on the English GLUE/SuperGLUE leaderboards. The 3 new languages give a t
Externí odkaz:
http://arxiv.org/abs/2404.04838
In this work, we provide insight into one important limitation of large language models (LLMs), i.e. false attribution, and introduce a new hallucination metric - Simple Hallucination Index (SHI). The task of automatic author attribution for relative
Externí odkaz:
http://arxiv.org/abs/2404.04631
We introduce Instruction Document Visual Question Answering (iDocVQA) dataset and Large Language Document (LLaDoc) model, for training Language-Vision (LV) models for document analysis and predictions on document images, respectively. Usually, deep n
Externí odkaz:
http://arxiv.org/abs/2402.00453
Autor:
Adewumi, Tosin, Alkhaled, Lama, Buck, Claudia, Hernandez, Sergio, Brilioth, Saga, Kekung, Mkpe, Ragimov, Yelvin, Barney, Elisa
We introduce a novel writing method called Probing Chain-of-Thought (ProCoT), which potentially prevents students from cheating using a Large Language Model (LLM), such as ChatGPT, while enhancing their active learning. LLMs have disrupted education
Externí odkaz:
http://arxiv.org/abs/2312.09801
Autor:
Barney, Elisa H.
Publikováno v:
IEEE Potentials; Nov/Dec2020, Vol. 39 Issue 6, p4-5, 2p
Autor:
Barney, Elisa H.
Publikováno v:
IEEE Potentials; Sep-Oct2020, Vol. 39 Issue 5, p4-5, 2p
Autor:
Smith Barney, Elisa H.
Publikováno v:
IEEE Potentials; Mar/Apr2020, Vol. 39 Issue 2, p4-5, 2p
Conference
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