Papers by David Guzman Piedrahita

2 papers
Democratic or Authoritarian? Probing a New Dimension of Political Biases in Large Language Models (2026.eacl-long)

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Challenge: Prior work on LLM biases focused on socio-demographic and left–right political dimensions, but little attention has been paid to how they align with broader geopolitical value systems.
Approach: They propose a method to assess how LLMs align with broader geopolitical value systems, particularly the democracy–authoritarianism spectrum.
Outcome: The proposed method combines the F-scale, FavScore and role-model probing to assess which figures are cited as general role models by LLMs.
Are Language Models Consequentialist or Deontological Moral Reasoners? (2025.emnlp-main)

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Challenge: Recent studies have focused on the moral judgments in large language models rather than their underlying moral reasoning process.
Approach: They propose a taxonomy of moral rationales to classify reasoning traces according to consequentialism and deontology . they use trolley problems to analyze moral reasoning tracing in large language models .
Outcome: The proposed taxonomy of moral rationales sheds light on consequentialism and deontology . it systematically classifies reasoning traces according to two main ethical theories .

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