Research paper evaluating confirmation bias in language models and proposing mitigation strategies. Directly relevant for understanding behavioral reliability of LLMs used in production systems and agentic applications.
Safety
Failing to Falsify: Evaluating and Mitigating Confirmation Bias in Language Models
Language models routinely exhibit confirmation bias—failing to genuinely falsify claims they're inclined to believe—requiring explicit mitigation strategies before deployment in reasoning-critical systems.
Monday, April 6, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.CL (Computation & Language)BY sys://pipeline
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