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Dragos Corlatescu
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2020 – today
- 2024
- [j2]Dragos-Georgian Corlatescu, Micah Watanabe, Stefan Ruseti, Mihai Dascalu, Danielle S. McNamara:
The automated model of comprehension version 4.0 - Validation studies and integration of ChatGPT. Comput. Hum. Behav. 154: 108154 (2024) - [c17]Mihai Masala, Denis C. Ilie-Ablachim, Alexandru Dima, Dragos-Georgian Corlatescu, Miruna-Andreea Zavelca, Ovio Olaru, Simina-Maria Terian, Andrei Terian, Marius Leordeanu, Horia Velicu, Marius Popescu, Mihai Dascalu, Traian Rebedea:
“Vorbești Românește?” A Recipe to Train Powerful Romanian LLMs with English Instructions. EMNLP (Findings) 2024: 11632-11647 - [i3]Mihai Masala, Denis C. Ilie-Ablachim, Dragos Corlatescu, Miruna Zavelca, Marius Leordeanu, Horia Velicu, Marius Popescu, Mihai Dascalu, Traian Rebedea:
OpenLLM-Ro - Technical Report on Open-source Romanian LLMs. CoRR abs/2405.07703 (2024) - [i2]Mihai Masala, Denis C. Ilie-Ablachim, Alexandru Dima, Dragos Corlatescu, Miruna Zavelca, Ovio Olaru, Simina-Maria Terian, Andrei Terian, Marius Leordeanu, Horia Velicu, Marius Popescu, Mihai Dascalu, Traian Rebedea:
"Vorbeşti Româneşte?" A Recipe to Train Powerful Romanian LLMs with English Instructions. CoRR abs/2406.18266 (2024) - 2023
- [c16]Dragos Corlatescu, Micah Watanabe, Stefan Ruseti, Mihai Dascalu, Danielle S. McNamara:
The Automated Model of Comprehension Version 3.0: Paying Attention to Context. AIED 2023: 229-241 - [c15]Dragos-Georgian Corlatescu, Alexandru Dinu, Mihaela Gaman, Paul Sumedrea:
EMBERSim: A Large-Scale Databank for Boosting Similarity Search in Malware Analysis. NeurIPS 2023 - [i1]Dragos-Georgian Corlatescu, Alexandru Dinu, Mihaela Gaman, Paul Sumedrea:
EMBERSim: A Large-Scale Databank for Boosting Similarity Search in Malware Analysis. CoRR abs/2310.01835 (2023) - 2022
- [j1]Gabriel Boroghina, Dragos-Georgian Corlatescu, Mihai Dascalu:
Multi-Microworld Conversational Agent with RDF Knowledge Graph Integration. Inf. 13(11): 539 (2022) - [c14]Dragos Corlatescu, Stefan Ruseti, Irina Toma, Mihai Dascalu:
Where are the Large N Studies in Education?: Introducing a Dataset of Scientific Articles and NLP Techniques. L@S 2022: 461-465 - 2021
- [c13]Dragos-Georgian Corlatescu, Mihai Dascalu, Danielle S. McNamara:
Automated Model of Comprehension V2.0. AIED (2) 2021: 119-123 - [c12]Stefan Ruseti, Maria-Dorinela Dascalu, Dragos-Georgian Corlatescu, Mihai Dascalu, Stefan Trausan-Matu, Danielle S. McNamara:
Exploring Dialogism Using Language Models. AIED (2) 2021: 296-301 - [c11]Remus Florentin Ionita, Dragos-Georgian Corlatescu, Mihai Dascalu, Danielle S. McNamara:
Predicting the Global Impact of Authors from the Learning Analytics Community - A Case Study grounded in CNA. CSCS 2021: 439-446 - [c10]Denis Iorga, Dragos-Georgian Corlatescu, Octavian Grigorescu, Cristian Sandescu, Mihai Dascalu, Razvan Rughinis:
Yggdrasil - Early Detection of Cybernetic Vulnerabilities from Twitter. CSCS 2021: 463-468 - [c9]Dragos-Georgian Corlatescu, Stefan Ruseti, Mihai Dascalu:
Romanian Syllabification Using Deep Neural Networks. SLERD 2021: 93-102 - [c8]Cristiana Vladescu, Maria-Alexandra Dinisor, Octavian Grigorescu, Dragos Corlatescu, Cristian Sandescu, Mihai Dascalu:
What are the Latest Cybersecurity Trends? A Case Study Grounded in Language Models. SYNASC 2021: 140-146 - [c7]Ion Babalau, Dragos Corlatescu, Octavian Grigorescu, Cristian Sandescu, Mihai Dascalu:
Severity Prediction of Software Vulnerabilities based on their Text Description. SYNASC 2021: 171-177 - 2020
- [c6]Bianca Nenciu, Dragos Corlatescu, Mihai Dascalu:
RASA Conversational Agent in Romanian for Predefined Microworlds. RoCHI 2020: 87-94 - [c5]Gabriel Boroghina, Dragos Corlatescu, Mihai Dascalu:
Conversational Agent in Romanian for Storing User Information in a Knowledge Graph. RoCHI 2020: 95-102 - [c4]Denis Iorga, Dragos Corlatescu, Octavian Grigorescu, Cristian Sandescu, Mihai Dascalu, Razvan Rughinis:
Early Detection of Vulnerabilities from News Websites using Machine Learning Models. RoEduNet 2020: 1-6
2010 – 2019
- 2018
- [c3]Ionut Daniel Chelcioiu, Dragos Corlatescu, Ionut Cristian Paraschiv, Mihai Dascalu, Stefan Trausan-Matu:
Semantic Meta-search Using Cohesion Network Analysis. AIMSA 2018: 207-217 - [c2]Dragos-Georgian Corlatescu, Ionut Cristian Paraschiv, Mihai Dascalu, Stefan Trausan-Matu, Cosmin Karl Banica:
Concurrent Processing of Scientific Articles using Cohesion Network Analysis. RoEduNet 2018: 1-5 - 2017
- [c1]Dragos-Georgian Corlatescu, Ionut Cristian Paraschiv, Mihai Dascalu, Stefan Trausan-Matu, Nicolae Nistor:
Predicting through writing style the impact of blog posts in online communities. RoEduNet 2017: 1-4
Coauthor Index
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