3 accepted papers
My research investigates how to evaluate and enhance large language models’ (LLMs) alignment with human values in collective decision-making scenarios. I focus on three inter-related aspects of this challenge: (i) normative alignment, (ii) procedural competence, and (iii) personalization.
The growing interest in employing large language models (LLMs) for decision-making in social and economic contexts has raised questions about their potential to function as agents in these domains. A significant number of societal problems involve the distribution of resources, where fairness, along…
The rise of Large Language Models (LLMs) has driven progress in reasoning tasks, from program synthesis to scientific hypothesis generation, yet their ability to handle ranked preferences and structured algorithms in combinatorial domains remains underexplored. We study matching markets, a core fra…