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Paper · arXiv

Pseudo-Deliberation in Language Models: When Reasoning Fails to Align Values and Actions

Large language models (LLMs) are often evaluated based on their stated values, yet these do not reliably translate into their actions, a discrepancy termed "value-action gap." In this work, we argue that this gap persists even under explicit reasoning, revealing a deeper failure mode we call "Pseudo-Deliberation": the appearance of principled reasoning without corresponding behavioral alignment. To study this systematically, we introduce VALDI, a framework for measuring alignment between stated values and generated dialogue. VALDI includes 4,941 human-centered scenarios across five domains, three tasks that elicit value articulation, reasoning, and action, and five metrics for quantifying...

AuthorsSushrita Rakshit, Hanwen Zhang, Hua Shen
Primary categorycs.CL
Published11 May 2026
Last updated at source19 June 2026
cs.CLcs.AI
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