claim

active

claim:llm-personality-self-reports-are-illusory-post-training-alignment-creates-stable-human-like-reports-dissociated-from-actual-behavior-han-et-al-2025

LLM personality self-reports are illusory: post-training alignment creates stable human-like reports dissociated from actual behavior (Han et al. 2025)

Skeptical prior work motivating the need to validate self-reports against internal states rather than taking them at face value

Source paper

extracted_from

Quantitative Introspection in Language Models: Tracking Emotive States Across Conversation

(2026) · Nicolas Martorell · Bianchi, Bruno

Neighborhood — ranked by edge-count

Thinkers (1)

thinker

Pengrui Han
introduces
Showed LLM personality self-reports are illusory; key skeptical prior work motivating the validation approach

Claims (1)

claim

Numeric self-report is a viable, complementary black-box tool for monitoring LLM internal emotive states alongside white-box probe methods
contradicts
Central practical conclusion; both methods partially track the same latent state but with different failure modes

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cosine ≥ 0.65 · no typed edge

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