Gabriel Emerson Iturra Bocaz

PhD Candidate

Gabriel Emerson Iturra Bocaz

Contact

Email: gabriel.e.iturrabocaz@uis.no

Department

Faculty of Science and Technology

Department of Electrical Engineering and Computer Science

Academic background

  • Information Access and Artificial Intelligence Research Group, Ph.D. in Natural Language Processing and Information Retrieval, University of Stavanger, Supervisor: Dr. Petra Galuscakova,  2024 - present.
  • Representations for Learning and Language Research Group, MSc in Computer Science, University of Chile, Supervisor: Dr. Felipe Bravo-Marquez,  2021 - 2023.
  • Representations for Learning and Language Research Group, Computer Science Engineer, University of Chile, Supervisor: Dr. Felipe Bravo-Marquez,  2021 - 2023.
  • Department of Computer Science, BSc in Computer Science, University of Chile, 2016 - 2019.
  • Department of Industrial Engineering, BSc in Industrial Engineering, University of Chile, 2015 - 2019.

Follow me online

LinkedIn X (formerly Twitter)
Personal Website

Publications

Vitenskapelige publikasjoner

Bouaraba, Sarah; Breuer, Timo; Cancellieri, Matteo; El-Ebshihy, Alaa; Fröbe, Maik; Petra Galuscakova; Goeuriot, Lorraine; Gabriel Emerson Iturra Bocaz; Keller, Jüri; Knoth, Petr; Kruff, Andreas Konstantin; Mulhem, Philippe; Piroi, Florina; Pride, David; Schaer, Philipp; Schwab, Didier (2026) Overview of the CLEF 2026 LongEval Lab on Longitudinal Evaluation of Model Performance. I: Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. Volum 17087. s.548-573. DOI: 10.1007/978-3-032-39150-6_32

Breuer, Timo; Cancellieri, Matteo; El-Ebshihy, Alaa; Fröbe, Maik; Petra Galuscakova; Goeuriot, Lorraine; Gabriel Emerson Iturra Bocaz; Keller, Jüri; Knoth, Petr; Kruff, Andreas Konstantin; Mulhem, Philippe; Piroi, Florina; Pride, David; Schaer, Philipp; Schwab, Didier (2026) Evaluating Information Retrieval Models Along Time: The LongEval Lab at CLEF 2026. I: Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. Volum 16486. s.345-353. DOI: 10.1007/978-3-032-21321-1_45

Gabriel Emerson Iturra Bocaz (2026) Metacognitive Multi-agent Retrieval-Augmented Generation for Multi-hop Reasoning. I: Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. Volum 16485. s.544-549. DOI: 10.1007/978-3-032-21324-2_42

Dominykas Petniunas; Gabriel Emerson Iturra Bocaz; Petra Galuscakova (2026) RAG in the Aerospace Domain: A Comprehensive Retrieval, Generation, and User Evaluation for NASA Documentation. I: Proceedings of Machine Learning Research (PMLR). Online ISSN 2640-3498. Volum 307. s.345-357. DOI: https://proceedings.mlr.press/v307/petniunas26a.html

Gabriel Iturra-Bocaz; Danny Vo; Petra Galuscakova (2025) Impact of Shallow vs. Deep Relevance Judgments on BERT-based Reranking Models. I: Benjamin Piwowarski; Sebastian Bruch; Laura Dietz; Hamed Zamani, ICTIR '25: Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval (ICTIR). Association for Computing Machinery (ACM). ISBN 9798400718618. DOI: 10.1145/3731120.3744602

Venktesh V; Vinay Setty; Avishek Anand; Boushra Bendou; Maram Hasanain; Houda Bouamor; Gabriel Emerson Iturra Bocaz; Petra Galuscakova; Firoj Alam (2025) Overview of the CLEF-2025 CheckThat! Lab Task 3 on Fact-Checking Numerical Claims. I: CEUR Workshop Proceedings. Online ISSN 1613-0073. https://hdl.handle.net/11250/5345989

Formidling

Gabriel Iturra Bocaz; Petra Galuščáková (2026) A Reproducibility Study of Metacognitive Retrieval-Augmented Generation. I: Proceedings of the49th International ACM SIGIR Conference on Research and Development inInformation Retrieval (SIGIR ’26), July 20–24, 2026, Melbourne, VIC, Australia. s.2942-2951. DOI: 10.1145/3805712.3808551

Gabriel Emerson Iturra Bocaz; Petra Galuscakova; Sol Gedde Vedde; Alvaro Fernandez Quilez (2026) TabMedQA: From Structured Data to Question-Answer Datasets in Early Clinical Decision-Making. I: Proceedings of the Third Workshop on Patient-Oriented Language Processing (CL4Health) @ LREC 2026. s.61-71. DOI: 10.63317/3mfh3jirq8wh

Source: Nasjonalt vitenarkiv