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Iria de-Dios-Flores

dblp:316/8295 · DBLP profile ↗
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4ranked-venue papers
1as first author
4since 2021 · last 2026
0000-0002-5941-1707ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 4 · 1 first-author · 4 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
2 papers
Language models and text generation · 90% Information extraction and text analysis · 10%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Language models and text generation › large language model evaluation
truthfulness evaluation
0.912025
Truth Knows No Language: Evaluating Truthfulness Beyond English · ACL (1) 2025
Natural language and speech › Language models and text generation
linguistic generalization
0.712023
Dependency resolution at the syntax-semantics interface: psycholinguistic and computational insights on control dependencies · ACL (1) 2023
Natural language and speech › Language models and text generation › evaluation of language models
multilingual evaluation
0.312025
Truth Knows No Language: Evaluating Truthfulness Beyond English · ACL (1) 2025
Natural language and speech › Information extraction and text analysis › coreference resolution
anaphora resolution
0.212023
Dependency resolution at the syntax-semantics interface: psycholinguistic and computational insights on control dependencies · ACL (1) 2023

Methods — techniques the papers use, named apart from their topics

multilingual benchmarking · 0.9psycholinguistic experiment · 0.7masked language model · 0.7
YearPublicationVenuePosition
2026 The MultiplEYE Text Corpus: Towards a Diverse and Ever-Expanding Multilingual Text Corpus
Ramune Kaspere, Anna Bondar, Sergiu Nisioi, Maja Stegenwallner-Schütz, Hanne B. Søndergaard Knudsen, Ana Matic Skoric, Eva Pavlinusic Vilus, Dorota Klimek-Jankowska, Chiara Tschirner, Not Battesta Soliva, Deborah N. Jakobi, Cui Ding, Dima Abu Romi, Cengiz Acartürk, Matilda Agdler, Anton Marius Alexandru, Mohd Faizan Ansari, Annalisa Arcidiacono, Elizabete Ausma Velta Barisa, Ana Bautista, Lisa Beinborn, Yevgeni Berzak, Nedeljka Bjelanovic, Anna Isabelle Bothmann, Jan Brasser, Caterina Cacioli, Anila Çepani, Ilze Ceple, Adelina Çerpja, Dalí Chirino, Jan Chromý, Alessandro Corona Mendozza, Iria de-Dios-Flores, Nazik Dinçtopal Deniz, Ana Dosen, Kristian Elersic, Inmaculada Fajardo, Zigmunds Freibergs, Angelina Ganebnaya, Jessica Gomes, Annjo Klungervik Greenall, Alba Haveriku, Anamaria Hodivoianu, Yu-Yin Hsu, Amanda Isaksen, Andreia Janeiro, Kristine M. Jensen de López, Aleksandar Jevremovic, Vojislav Jovanovic, Hanna Kedzierska, Nik Kharlamov, Sara Kosutar, Nelda Kote, Vanja Kovic, Izabela Krejtz, Thyra Krosness, Oleksandra Kuvshynova, Eilam Lavy, Ella Lion, Marta Lockiewicz, Kaidi Lõo, Paula Luegi, Mircea Mihai Marin, Clara Martin, Svitlana Matvieieva, Diane C. Mézière, Xavier Mínguez-López, Valeriia Modina, Jurgita Motiejuniene, Marie-Luise Müller, Tolgonai Nasipbek kyzy, Jamal Abdul Nasir, Johanne Sofie Krog Nedergård, Aysegül Özkan, Patrizia Paggio, Marijan Palmovic, Maria Christina Panagiotopoulou, Alberto Parola, Helena Pérez, Klaudia Petersen, Anja Podlesek, Eva Pospísilová, Marta Praulina, Mikulás Preininger, Loredana Punga, Diego Rossini, Spela Rot, Habib Sani Yahaya, Irina A. Sekerina, Anne Gabija Skadina, Jordi Solé i Casals, Lonneke van der Plas, Saara M. Varjopuro, Spyridoula Varlokosta, João Veríssimo, Oskari Juhapekka Virtanen, Nemanja Vracar, Mila Dimitrova-Vulchanova, Ahmad Mustapha Wali, Peizheng Wu, Nilgün Yücel, Stefan Frank, Nora Hollenstein, Lena A. Jäger, Somayeh Bakhtiari
LREC33
2025 Truth Knows No Language: Evaluating Truthfulness Beyond English
abstract
Blanca Calvo Figueras, Eneko Sagarzazu, Julen Etxaniz, Jeremy Barnes, Pablo Gamallo, Iria de-Dios-Flores, Rodrigo Agerri. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.
Blanca Calvo Figueras, Eneko Sagarzazu, Julen Etxaniz, Jeremy Barnes 0001, Pablo Gamallo 0001, Iria de-Dios-Flores, Rodrigo Agerri
ACL (1)6
2025 IberoBench: A Benchmark for LLM Evaluation in Iberian Languages
abstract
The current best practice to measure the performance of base Large Language Models is to establish a multi-task benchmark that covers a range of capabilities of interest. Currently, however, such benchmarks are only available in a few high-resource languages. To address this situation, we present IberoBench, a multilingual, multi-task benchmark for Iberian languages (i.e., Basque, Catalan, Galician, European Spanish and European Portuguese) built on the LM Evaluation Harness framework. The benchmark consists of 62 tasks divided into 179 subtasks. We evaluate 33 existing LLMs on IberoBench on 0- and 5-shot settings. We also explore the issues we encounter when working with the Harness and our approach to solving them to ensure high-quality evaluation.
Irene Baucells de la Peña, Javier Aula-Blasco, Iria de-Dios-Flores, Silvia Paniagua Suárez, Naiara Pérez, Anna Salles, Susana Sotelo Docío, Júlia Falcão, José Javier Saiz, Robiert Sepúlveda-Torres, Jeremy Barnes 0001, Pablo Gamallo 0001, Aitor Gonzalez-Agirre, German Rigau, Marta Villegas
COLING3
2023 Dependency resolution at the syntax-semantics interface: psycholinguistic and computational insights on control dependencies
abstract
Using psycholinguistic and computational experiments we compare the ability of humans and several pre-trained masked language models to correctly identify control dependencies in Spanish sentences such as 'José le prometió/ordenó a María ser ordenado/a' ('Joseph promised/ordered Mary to be tidy').These structures underlie complex anaphoric and agreement relations at the interface of syntax and semantics, allowing us to study lexically-guided antecedent retrieval processes.Our results show that while humans correctly identify the (un)acceptability of the strings, language models often fail to identify the correct antecedent in non-adjacent dependencies, showing their reliance on linearity.Additional experiments on Galician reinforce these conclusions.Our findings are equally valuable for the evaluation of language models' ability to capture linguistic generalizations, as well as for psycholinguistic theories of anaphor resolution.
Iria de-Dios-Flores, Juan Garcia Amboage, Marcos García 0001
ACL (1)1