5 papers
Conditioning LLMs on Social Value Orientation improves behavioural alignment in a sequential social dilemma
Marco Saponara, Axel Abels, Ann Nowé +1
Large language Models (LLMs) are increasingly used to simulate human decision-making, yet their outputs often under-represent human behavioural heterogeneity. We investigate whethe…
The prospect of a fair outcome triggers prosocial behaviour in the Centipede Game
Marco Saponara, António M. Fernandes, Elias Fernández Domingos +2
Human decision-making reflects not only material incentives, but also concern for others' gains and the ability to understand others. However, the extent to which sensitivity to fa…
Improving Cross-Cultural Survey Simulation with Calibrated Value Personas
Axel Abels, Elias Fernandez Domingos, Apurva Shah +1
Large language models (LLMs) are increasingly used to simulate human opinions and survey responses, but their ability to reproduce population responses across cultures remains limi…
Evolution favours positively biased reasoning in sequential interactions with high future gains
Marco Saponara, Elias Fernandez Domingos, Jorge M. Pacheco +1
Empirical evidence shows that human behaviour often deviates from game-theoretical rationality. For instance, humans may hold unrealistic expectations about future outcomes. As the…
DOME Registry: Implementing community-wide recommendations for reporting supervised machine learning in biology
Omar Abdelghani Attafi, Damiano Clementel, Konstantinos Kyritsis +17
Supervised machine learning (ML) is used extensively in biology and deserves closer scrutiny. The DOME recommendations aim to enhance the validation and reproducibility of ML resea…