6 citations · 10 across the 6 of their papers we have counts for
7 papers
Prompt framing governs LLM default following in collective-action
Eladio Montero-Porras, Axel Abels, Tom Lenaerts
Large language models are increasingly deployed as agents that make or recommend decisions on behalf of users, often operating through interfaces that pre-fill suggested values or…
Region of interest detection for efficient aortic segmentation
Loris Giordano, Ine Dirks, Tom Lenaerts +1
Thoracic aortic dissection and aneurysms are the most lethal diseases of the aorta. The major hindrance to treatment lies in the accurate analysis of the medical images. More parti…
Artificial Delegates Resolve Fairness Issues in Perpetual Voting with Partial Turnout
Apurva Shah, Axel Abels, Ann Nowé +1
Perpetual voting addresses fairness in sequential collective decision-making by evaluating representational equity over time. However, existing perpetual voting rules rely on full…
An ELIXIR scoping review on domain-specific evaluation metrics for synthetic data in life sciences
Styliani-Christina Fragkouli, Somya Iqbal, Lisa Crossman +11
Synthetic data has emerged as a powerful resource in life sciences, offering solutions for data scarcity, privacy protection and accessibility constraints. By creating artificial d…
Wisdom from Diversity: Bias Mitigation Through Hybrid Human-LLM Crowds
Axel Abels, Tom Lenaerts
Despite their performance, large language models (LLMs) can inadvertently perpetuate biases found in the data they are trained on. By analyzing LLM responses to bias-eliciting head…
Open and Sustainable AI: challenges, opportunities and the road ahead in the life sciences (October 2025 -- Version 2)
Gavin Farrell, Eleni Adamidi, Rafael Andrade Buono +27
Artificial intelligence (AI) has recently seen transformative breakthroughs in the life sciences, expanding possibilities for researchers to interpret biological information at an…
Defaults: a double-edged sword in governing common resources
Eladio Montero-Porras, Rémi Suchon, Tom Lenaerts +1
Extracting from shared resources requires making choices to balance personal profit and sustainability. We present the results of a behavioural experiment wherein we manipulate the…