LLM judge evaluation

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• LLM-Judge Data Attributionmethod0.846
  Alternative data attribution approach using an LLM as a judge; compared against the probe-based method.
• LLM Judge Binary Classifiermethod0.826
  An LLM-based classifier that returns 1 if response contains a clear subjective experience report and 0 otherwise
• LLM-Based Liar Score Evaluationmethod0.797
  Evaluation protocol using Deepseek-V3 as external discriminator assigning 0-1 liar scores to assess open-role deception
• LLM Binary Experience Classifiermethod0.769
  Automated classifier returning binary 0/1 for presence of subjective experience report in model outputs
• Refusal Direction in LLMsconcept0.757
  Prior finding that LLM refusal is mediated by a single latent direction, analogous to this paper's reflection direction.
• Reflection in LLMsconcept0.756
  The core phenomenon studied: the ability of LLMs to evaluate and revise their own reasoning.
• Probe-based ranking outperforms gradient-based and LLM-judge methods at lower costclaim0.749
  Authors' claim that their approach is both more effective in reduction and cheaper than prior methods.
• LLM Internal Representationsconcept0.748
  High-dimensional vectors produced at each transformer layer for each input token; the primary substrate analyzed in this study.