17 citations · 29 across the 10 of their papers we have counts for
13 papers
IberBench: LLM Evaluation on Iberian Languages
José Ángel González, Ian Borrego Obrador, Álvaro Romo Herrero +4
Large Language Models (LLMs) remain difficult to evaluate comprehensively, particularly for languages other than English, where high-quality data is often limited. Existing benchma…
TextMachina: Seamless Generation of Machine-Generated Text Datasets
Areg Mikael Sarvazyan, José Ángel González, Marc Franco-Salvador
Recent advancements in Large Language Models (LLMs) have led to high-quality Machine-Generated Text (MGT), giving rise to countless new use cases and applications. However, easy ac…
Overview of AuTexTification at IberLEF 2023: Detection and Attribution of Machine-Generated Text in Multiple Domains
Areg Mikael Sarvazyan, José Ángel González, Marc Franco-Salvador +3
This paper presents the overview of the AuTexTification shared task as part of the IberLEF 2023 Workshop in Iberian Languages Evaluation Forum, within the framework of the SEPLN 20…
Programming by Example and Text-to-Code Translation for Conversational Code Generation
Eli Whitehouse, William Gerard, Yauhen Klimovich +1
Dialogue systems is an increasingly popular task of natural language processing. However, the dialogue paths tend to be deterministic, restricted to the system rails, regardless of…
Unsupervised Ranking and Aggregation of Label Descriptions for Zero-Shot Classifiers
Angelo Basile, Marc Franco-Salvador, Paolo Rosso
Zero-shot text classifiers based on label descriptions embed an input text and a set of labels into the same space: measures such as cosine similarity can then be used to select th…
Zero and Few-shot Learning for Author Profiling
Mara Chinea-Rios, Thomas Müller, Gretel Liz De la Peña Sarracén +2
Author profiling classifies author characteristics by analyzing how language is shared among people. In this work, we study that task from a low-resource viewpoint: using little or…