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pro vyhledávání: '"P, Dusek"'
Autor:
Schmidtová, Patrícia, Mahamood, Saad, Balloccu, Simone, Dušek, Ondřej, Gatt, Albert, Gkatzia, Dimitra, Howcroft, David M., Plátek, Ondřej, Sivaprasad, Adarsa
Automatic metrics are extensively used to evaluate natural language processing systems. However, there has been increasing focus on how they are used and reported by practitioners within the field. In this paper, we have conducted a survey on the use
Externí odkaz:
http://arxiv.org/abs/2408.09169
Existing explanation methods for image classification struggle to provide faithful and plausible explanations. This paper addresses this issue by proposing a post-hoc natural language explanation method that can be applied to any CNN-based classifier
Externí odkaz:
http://arxiv.org/abs/2407.20899
Autor:
Helcl, Jindřich, Kasner, Zdeněk, Dušek, Ondřej, Limisiewicz, Tomasz, Macháček, Dominik, Musil, Tomáš, Libovický, Jindřich
This paper presents teaching materials, particularly assignments and ideas for classroom activities, from a new course on large language models (LLMs) taught at Charles University. The assignments include experiments with LLM inference for weather re
Externí odkaz:
http://arxiv.org/abs/2407.19798
We present factgenie: a framework for annotating and visualizing word spans in textual model outputs. Annotations can capture various span-based phenomena such as semantic inaccuracies or irrelevant text. With factgenie, the annotations can be collec
Externí odkaz:
http://arxiv.org/abs/2407.17863
Text style transfer (TST) is an important task in controllable text generation, which aims to control selected attributes of language use, such as politeness, formality, or sentiment, without altering the style-independent content of the text. The fi
Externí odkaz:
http://arxiv.org/abs/2407.16737
Autor:
Mukherjee, Sourabrata, Dušek, Ondrej
Text Style Transfer (TST) is a pivotal task in natural language generation to manipulate text style attributes while preserving style-independent content. The attributes targeted in TST can vary widely, including politeness, authorship, mitigation of
Externí odkaz:
http://arxiv.org/abs/2407.14822
Autor:
Arias-Marco, Teresa, Dusek, Zdenek
Homogeneous geodesics of homogeneous Finsler metrics derived from two or more Riemannian geodesic orbit metrics are investigated. For a broad newly defined family of positively related Riemannian geodesic orbit metrics, geodesic lemma is proved and i
Externí odkaz:
http://arxiv.org/abs/2406.16736
We analyze the performance of large language models (LLMs) on Text Style Transfer (TST), specifically focusing on sentiment transfer and text detoxification across three languages: English, Hindi, and Bengali. Text Style Transfer involves modifying t
Externí odkaz:
http://arxiv.org/abs/2406.05885
Autor:
Mukherjee, Sourabrata, Ojha, Atul Kr., Bansal, Akanksha, Alok, Deepak, McCrae, John P., Dušek, Ondřej
Text style transfer (TST) involves altering the linguistic style of a text while preserving its core content. This paper focuses on sentiment transfer, a popular TST subtask, across a spectrum of Indian languages: Hindi, Magahi, Malayalam, Marathi, P
Externí odkaz:
http://arxiv.org/abs/2405.20805
Autor:
Bastien, G., Courtade, Q., Eliáš, A., Haidamak, T., Proschek, P., Dušek, M., Priessnitz, J., Baláž, P., Colman, R. H.
Publikováno v:
Phys. Rev. B 110, 094436 (2024)
We report ferromagnetic ordering at $T_\mathrm {C}=1.3\,$K in the quasi-two dimensional magnet EuAl$_{12}$O$_{19}$ with large spins $S=7/2$. This ferromagnetic state was characterized by magnetization and specific heat measurements and the experiment
Externí odkaz:
http://arxiv.org/abs/2405.15479