Catarina G. Belém

According to our database, Catarina G. Belém authored at least 13 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Semantic Probabilistic Control of Language Models.

Kareem Ahmed, Catarina G. Belém, Padhraic Smyth, Sameer Singh

CoRR, May, 2025

What large language models know and what people think they know.

Mark Steyvers, Heliodoro Tejeda Lemus, Aakriti Kumar, Catarina G. Belém, Sheer Karny, Xinyue Hu, Lukas William Mayer, Padhraic Smyth

Nat. Mac. Intell., 2025

From Single to Multi: How LLMs Hallucinate in Multi-Document Summarization.

Catarina G. Belém, Pouya Pezeshkpour, Hayate Iso, Seiji Maekawa, Nikita Bhutani, Estevam Hruschka

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

2024

From Single to Multi: How LLMs Hallucinate in Multi-Document Summarization.

Catarina G. Belém, Pouya Pezeskhpour, Hayate Iso, Seiji Maekawa, Nikita Bhutani, Estevam Hruschka

CoRR, 2024

The Calibration Gap between Model and Human Confidence in Large Language Models.

Mark Steyvers, Heliodoro Tejeda Lemus, Aakriti Kumar, Catarina G. Belém, Sheer Karny, Xinyue Hu, Lukas William Mayer, Padhraic Smyth

CoRR, 2024

Are Models Biased on Text without Gender-related Language?

Catarina G. Belém, Preethi Seshadri, Yasaman Razeghi, Sameer Singh

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Perceptions of Linguistic Uncertainty by Language Models and Humans.

Catarina G. Belém, Markelle Kelly, Mark Steyvers, Sameer Singh, Padhraic Smyth

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

FairGBM: Gradient Boosting with Fairness Constraints.

André Ferreira Cruz, Catarina G. Belém, João Bravo, Pedro Saleiro, Pedro Bizarro

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

Weakly Supervised Multi-task Learning for Concept-based Explainability.

Catarina G. Belém, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro

CoRR, 2021

Promoting Fairness through Hyperparameter Optimization.

André Ferreira Cruz, Pedro Saleiro, Catarina G. Belém, Carlos Soares, Pedro Bizarro

Proceedings of the IEEE International Conference on Data Mining, 2021

How can I choose an explainer?: An Application-grounded Evaluation of Post-hoc Explanations.

Sérgio M. Jesus, Catarina G. Belém, Vladimir Balayan, João Bento, Pedro Saleiro, Pedro Bizarro, João Gama

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

2020

Teaching the Machine to Explain Itself using Domain Knowledge.

Vladimir Balayan, Pedro Saleiro, Catarina G. Belém, Ludwig Krippahl, Pedro Bizarro

CoRR, 2020

A Bandit-Based Algorithm for Fairness-Aware Hyperparameter Optimization.

André Ferreira Cruz, Pedro Saleiro, Catarina G. Belém, Carlos Soares, Pedro Bizarro

CoRR, 2020