Back 25-01-2024 Large Language Models for Scholarly Work.

25-01-2024 Large Language Models for Scholarly Work.

07.01.2024

Imatge inicial

CeSANI Seminar

 

Large Language Models (LLMs) for scholarly work (free attendance). 

Prof. Horacio Saggion (DTIC-UPF), Prof. Gael Le Mens (Dept. Economics - UPF, BSE) and Prof. Davinia Hernández Leo (DTIC-UPF).

 

Date: Thursday January 25th 2024. 15:30h - 17h.

Location: Room 55.309 (Tanger building, Roc Boronat 138). Zoom connection available.

 

Abstract:

The seminar will be framed with an introduction by Horacio Saggion of the general characteristics of Large Language Models. Gaël Le Mens will provide an overview of his research on using LLMs for measurement [1]–[3]. Finally, Davinia Hernández Leo will review her ongoing research on LLMs and generative AI for teaching and learning [4]–[7].

 

References:

[1] G. Le Mens, B. Kovács, M. T. Hannan, and G. Pros, “Uncovering the semantics of concepts using GPT-4,” Proc. Natl. Acad. Sci., vol. 120, no. 49, p. e2309350120, 2023, doi: 10.1073/pnas.2309350120.

[2] G. Le Mens and A. Gallego, “Scaling Political Texts with ChatGPT.” arXiv, Nov. 28, 2023. doi: 10.48550/arXiv.2311.16639.

[3] G. Le Mens, B. Kovács, M. T. Hannan, and G. Pros, “Using Machine Learning to Uncover the Semantics of Concepts: How Well Do Typicality Measures Extracted from a BERT Text Classifier Match Human Judgments of Genre Typicality?,” Sociol. Sci., vol. 10, no. 3, pp. 82–117, Mar. 2023, doi: 10.15195/v10.a3.

[4] E. Theophilou et al., “Learning to Prompt in the Classroom to Understand AI Limits: A Pilot Study,” in AIxIA 2023 – Advances in Artificial Intelligence, R. Basili, D. Lembo, C. Limongelli, and A. Orlandini, Eds., in Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2023, pp. 481–496. doi: 10.1007/978-3-031-47546-7_33.

[5] C. Koyuturk et al., “Developing Effective Educational Chatbots with ChatGPT prompts: Insights from Preliminary Tests in a Case Study on Social Media Literacy (with appendix).” arXiv, Aug. 10, 2023. doi: 10.48550/arXiv.2306.10645.

[6] I. Amarasinghe, F. Marques, A. Ortiz-Beltrán, and D. Hernández-Leo, “Generative Pre-trained Transformers for Coding Text Data? An Analysis with Classroom Orchestration Data,” in Responsive and Sustainable Educational Futures, O. Viberg, I. Jivet, P. J. Muñoz-Merino, M. Perifanou, and T. Papathoma, Eds., in Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2023, pp. 32–43. doi: 10.1007/978-3-031-42682-7_3.

[7] D. Hernández Leo, “Com ho avaluem? Repensem la universitat: impacte de la intel·ligència artificial (IA) en l’aprenentatge,” Jul. 2023, Accessed: Jan. 10, 2024. [Online]. Available: http://repositori.upf.edu/handle/10230/57594

 

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