Large Language Models Exhibit Human-Like Bayesian Hypocrisy

arXiv:2609.35779 · cs.HC, cs.CL, cs.CY · Submitted 2026-08-03 · Read on arXiv

cs.HC, cs.CL, cs.CY

Submitted: 2026-08-03

Updated: 2026-08-03

Terminology

• Accuracy — 30× in this paper · explained in 1 episode
• alpha — 8× in this paper · explained in 1 episode
• Consistency — 7× in this paper · explained in 3 episodes
• Aligned Rank Transform — 6× in this paper
• Alignment — 5× in this paper · explained in 1 episode
• Mode Collapse — 5× in this paper · explained in 2 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Transformer — 4× in this paper · explained in 2 episodes
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Homogeneity — 2× in this paper · explained in 2 episodes
• Prompt Engineering — 2× in this paper · explained in 4 episodes
• Scaling Laws — 2× in this paper · explained in 4 episodes
• World Model — 2× in this paper · explained in 7 episodes
• Accountability — 1× in this paper · explained in 2 episodes
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Introspection — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Pairwise Comparisons — 1× in this paper · explained in 2 episodes
• Reward Function — 1× in this paper · explained in 2 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• Constitutional AI: Harmlessness from AI Feedback
• ARC-AGI-2: A New Challenge for Frontier AI Reasoning Systems
• Scaling Laws for Neural Language Models
• Training language models to follow instructions with human feedback
• The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
• Large Language Models Fail on Trivial Alterations to Theory-of-Mind Tasks
• Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity

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