Current Position(s)

• PhD Candidate & Invited Assistent at Faculty of Engineering - University of Porto

Education

• Doctoral Program in Informatics Engineering -- (expected completion late 2025)
Institution: Faculty of Engineering - University of Porto
Doctoral Thesis: Student-Centric Question Generation
Supervisor: Professor Dr. Henrique Lopes Cardoso
• Integrated Master in Informatics and Computing Engineering -- September 2015 to July 2020
Institution: Faculty of Engineering - University of Porto
Master Thesis: Automatic Question Generation for the Portuguese Language
Supervisor: Professor Dr. Henrique Lopes Cardoso

Languages Spoken

• Portuguese (native language)
• English (proficient)

Professional Activity

• Invited Assistant at Faculty of Engineering - University of Porto -- September 2023 to Present
Teaching: Algorithms and Data Structures (1st semester), Algorithm Design (2nd semester).
• Researcher (PhD Program) at Faculty of Engineering - University of Porto -- October 2021 to Present
Research focused on educational question generation for children with controllable concerns. Funded by FCT.
• Research Assistant at LIACC -- February 2021 to September 2021
Worked on the DARGMINTS project in the area of Argumentation Mining.
• STEAM Educator at Happy Code Portugal -- May 2018 to August 2020
I taught courses ranging from Unity 2D/3D game development to mobile app creation and video editing.

Service

• Invited Speaker at DeepLearn 2024 in Maia, Portugal -- July 15, 2024
Presented: Empowering Research with LLMs: Case Studies and Insights.
• Lab Representative on behalf of the FEUP's Artificial Intelligence Laboratory at the DEI Open Day -- July 11, 2023
• Assistant Organizer of the LITHME Roadshow in Porto, Portugal -- June 1-2, 2022
• Conference/Journal Reviewer
Conferences: EMNLP 23/24/25, ECAI 23, SAC 22/23, ISMIS 22, WI-IAT 21
Workshops: BEA @ ACL 25
Journals: JECR 21/22

Volunteering

• Organizing Volunteer at the 24th Conference on Artificial Intelligence in Education (AIED) in Tokyo, Japan -- July 3-7, 2023
• Organizer and Mentor of CoderDojo Valongo -- July 2019 to May 2023
I organized and mentored a programming club for young children, which continues to run as of 2025.

Honors and Awards

• Selected Finalist of Three Minute Thesis (3MT®), awarded by University of Porto -- March 2025
Chosen as one of 20 finalists to present my doctoral thesis in a 3-minute pitch format.
• PhD Scholarship, awarded by FCT -- June 2021
Ranked #16 in 154 candidates in the field of Informatics and Computer Science.
• Winner of OPJV (Orçamento Participativo Jovem Valongo), awarded by Valongo City Council -- July 2019
I was one of the winners of the OPJV contest, where I proposed a non-profit, youth-led volunteer programming community project that received €10,000 in funding.

• (new paper!) Bernardo Leite, Henrique Lopes Cardoso. Advancing Question Generation with Joint Narrative and Difficulty Control. BEA @ ACL, 2025.

slides (link will be available soon)

• Bernardo Leite, Tomás Freitas Osório, Henrique Lopes Cardoso. FairytaleQA Translated: Enabling Educational Question and Answer Generation in Less-Resourced Languages. ECTEL, 2024.

slides | code, data and models

• Bernardo Leite, Henrique Lopes Cardoso. On Few-Shot Prompting for Controllable Question-Answer Generation in Narrative Comprehension. CSEDU, 2024.

slides | code

• Tomás Osório, Bernardo Leite, Henrique Lopes Cardoso, Luís Gomes, João Rodrigues, Rodrigo Santos, António Branco. PORTULAN ExtraGLUE Datasets and Models: Kick-starting a Benchmark for the Neural Processing of Portuguese. BUCC @ LREC-COLING, 2024.

slides | data | models

• Bernardo Leite, Henrique Lopes Cardoso. Towards Enriched Controllability for Educational Question Generation. AIED, 2023.

slides | code

• Bernardo Leite, Henrique Lopes Cardoso. Do Rules Still Rule? Comprehensive Evaluation of a Rule-Based Question Generation System. CSEDU, 2023.

slides | code

• Bernardo Leite, Henrique Lopes Cardoso. Neural Question Generation for the Portuguese Language: A Preliminary Study. EPIA, 2022.

slides | code

• (best paper award!) Gil Rocha, Bernardo Leite, Luís Trigo, Henrique Lopes Cardoso, Rui Sousa-Silva, Paula Carvalho, Bruno Martins, Miguel Won. Predicting Argument Density from Multiple Annotations. NLDB, 2022.

slides | code

• Pedro Azevedo, Bernardo Leite, Henrique Lopes Cardoso, Daniel Castro Silva, Luís Paulo Reis. Exploring NLP and Information Extraction to Jointly Address Question Generation and Answering. AIAI, 2020.

slides | code

• ...full publication list...