Zobrazeno 1 - 10
of 9 275
pro vyhledávání: '"Smaranda A"'
Autor:
Alshomary, Milad, Ri, Narutatsu, Apidianaki, Marianna, Patel, Ajay, Muresan, Smaranda, McKeown, Kathleen
Recent state-of-the-art authorship attribution methods learn authorship representations of texts in a latent, non-interpretable space, hindering their usability in real-world applications. Our work proposes a novel approach to interpreting these lear
Externí odkaz:
http://arxiv.org/abs/2409.07072
Autor:
Popovici, Vasile
Publikováno v:
Orizont / Horizon. XXXIII(8):9-9
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=979940
Explanations form the foundation of knowledge sharing and build upon communication principles, social dynamics, and learning theories. We focus specifically on conversational approaches for explanations because the context is highly adaptive and inte
Externí odkaz:
http://arxiv.org/abs/2406.18512
Autor:
Samadarshi, Prisha, Mustafa, Mariam, Kulkarni, Anushka, Rothkopf, Raven, Chakrabarty, Tuhin, Muresan, Smaranda
The New York Times Connections game has emerged as a popular and challenging pursuit for word puzzle enthusiasts. We collect 438 Connections games to evaluate the performance of state-of-the-art large language models (LLMs) against expert and novice
Externí odkaz:
http://arxiv.org/abs/2406.11012
Publikováno v:
Revista Română de Drept Maritim; 2022 Suppl, p239-243, 5p
Autor:
Pascu, Ana
Publikováno v:
Martor. Revue d’Anthropologie du Musée du Paysan Roumain / Martor. The Museum of the Romanian Peasant Anthropology Review. (18):180-185
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=111188
Large Vision-Language Models (VLMs) have demonstrated strong capabilities in tasks requiring a fine-grained understanding of literal meaning in images and text, such as visual question-answering or visual entailment. However, there has been little ex
Externí odkaz:
http://arxiv.org/abs/2405.01474
Digital education has gained popularity in the last decade, especially after the COVID-19 pandemic. With the improving capabilities of large language models to reason and communicate with users, envisioning intelligent tutoring systems (ITSs) that ca
Externí odkaz:
http://arxiv.org/abs/2404.04728
Autor:
Takacs, Matilda, Vintilă, Maria
Publikováno v:
Apulum. 45:557-559
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=52173
Recognizing fallacies is crucial for ensuring the quality and validity of arguments across various domains. However, computational fallacy recognition faces challenges due to the diverse genres, domains, and types of fallacies found in datasets. This
Externí odkaz:
http://arxiv.org/abs/2311.09552