Self-Report Unreliability in LLMs

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• LLM Introspective Self-Reportconcept0.795
  The capacity of Kimi K2.5 to evaluate its own internal emotional state when steered, used as a novel interpretability signal
• Li et al. 2024: larger LLMs outperform smaller ones at distinguishing self-related from non-self-related properties on self-awareness benchmarksfinding0.780
  Prior finding showing scale-dependent self-awareness, consistent with the scale effect observed in the paper's Experiment 1
• Social Desirability Bias in LLMsconcept0.776
  The tendency of LLMs to produce socially desirable responses on personality surveys, complicating psychometric interpretation
• LLM personality self-reports are illusory: post-training alignment creates stable human-like reports dissociated from actual behavior (Han et al. 2025)claim0.773
  Skeptical prior work motivating the need to validate self-reports against internal states rather than taking them at face value
• LLM individuation problemconcept0.769
  The central problem the paper addresses: which entities associated with LLMs, if any, should be identified as minds
• LLM Self-Correctionconcept0.769
  Related capability where LLMs correct their own outputs, studied via linear representations.
• When LLMs produce experience claims under self-reference, is this sophisticated simulation or genuine self-representation, and how would we tell the difference?question0.766
  The core interpretive question the paper narrows but cannot definitively answer
• Numeric self-report is a viable, complementary black-box tool for monitoring LLM internal emotive states alongside white-box probe methodsclaim0.762
  Central practical conclusion; both methods partially track the same latent state but with different failure modes