Zobrazeno 1 - 10
of 119
pro vyhledávání: '"Dascălu, Mihai"'
Natural Language Inference (NLI) evaluation is crucial for assessing language understanding models; however, popular datasets suffer from systematic spurious correlations that artificially inflate actual model performance. To address this, we propose
Externí odkaz:
http://arxiv.org/abs/2410.03429
Autor:
Dascalu, Mihai
L’apprentissage collaboratif assisté par ordinateur et les technologies d’e-learning devenant de plus en plus populaires et intégrés dans des contextes éducatifs, le besoin se fait sentir de disposer d’outils d’évaluation automatique et
Externí odkaz:
http://www.theses.fr/2013GRENH004/document
Autor:
Masala, Mihai, Ilie-Ablachim, Denis C., Dima, Alexandru, Corlatescu, Dragos, Zavelca, Miruna, Olaru, Ovio, Terian, Simina, Terian, Andrei, Leordeanu, Marius, Velicu, Horia, Popescu, Marius, Dascalu, Mihai, Rebedea, Traian
In recent years, Large Language Models (LLMs) have achieved almost human-like performance on various tasks. While some LLMs have been trained on multilingual data, most of the training data is in English; hence, their performance in English greatly e
Externí odkaz:
http://arxiv.org/abs/2406.18266
Autor:
Masala, Mihai, Ilie-Ablachim, Denis C., Corlatescu, Dragos, Zavelca, Miruna, Leordeanu, Marius, Velicu, Horia, Popescu, Marius, Dascalu, Mihai, Rebedea, Traian
In recent years, Large Language Models (LLMs) have achieved almost human-like performance on various tasks. While some LLMs have been trained on multilingual data, most of the training data is in English. Hence, their performance in English greatly e
Externí odkaz:
http://arxiv.org/abs/2405.07703
Autor:
Paraschiv, Andrei, Dascalu, Mihai
Conspiracy theories have become a prominent and concerning aspect of online discourse, posing challenges to information integrity and societal trust. As such, we address conspiracy theory detection as proposed by the ACTI @ EVALITA 2023 shared task.
Externí odkaz:
http://arxiv.org/abs/2309.16275
Autor:
Smădu, Răzvan-Alexandru, Zaharia, George-Eduard, Avram, Andrei-Marius, Cercel, Dumitru-Clementin, Dascalu, Mihai, Pop, Florin
Keyphrase identification and classification is a Natural Language Processing and Information Retrieval task that involves extracting relevant groups of words from a given text related to the main topic. In this work, we focus on extracting keyphrases
Externí odkaz:
http://arxiv.org/abs/2301.06902
In recent times, the detection of hate-speech, offensive, or abusive language in online media has become an important topic in NLP research due to the exponential growth of social media and the propagation of such messages, as well as their impact. M
Externí odkaz:
http://arxiv.org/abs/2205.14769
Complex word identification (CWI) is a cornerstone process towards proper text simplification. CWI is highly dependent on context, whereas its difficulty is augmented by the scarcity of available datasets which vary greatly in terms of domains and la
Externí odkaz:
http://arxiv.org/abs/2205.07283
Autor:
Avram, Andrei-Marius, Catrina, Darius, Cercel, Dumitru-Clementin, Dascălu, Mihai, Rebedea, Traian, Păiş, Vasile, Tufiş, Dan
Running large-scale pre-trained language models in computationally constrained environments remains a challenging problem yet to be addressed, while transfer learning from these models has become prevalent in Natural Language Processing tasks. Severa
Externí odkaz:
http://arxiv.org/abs/2112.12650
Autor:
Corlatescu, Dragos-Georgian, Watanabe, Micah, Ruseti, Stefan, Dascalu, Mihai, McNamara, Danielle S.
Publikováno v:
In Computers in Human Behavior May 2024 154