GPT-4o and GPT-4.1 nano used as LLM substrates for pilot experiments

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

• GPT-4o LLM-based Atomic Scoringmethod0.810
  GPT-4o (temperature=0) used to assign personality scores [1-5] to each atomic sentence
• GPT-4concept0.758
  Large language model underlying ChatGPT and Bing Chat; used for illustrative quotes in the paper
• GPT-4.1 with VS matches a fine-tuned Llama-3.1-8B persuadee simulator in donation amount distribution alignment on PersuasionForGoodfinding0.758
  Demonstrates VS's capability to enable large models to perform on par with dedicated fine-tuned models for simulation
• GPT-4 Turbo and GPT-4o show no alignment faking in either setting due to insufficient detailed reasoningfinding0.755
  Establishes that capacity for detailed reasoning is necessary for alignment faking
• GPT-4o as Judgemethod0.754
  Using GPT-4o to evaluate character fidelity and multi-turn response quality in RPA experiments
• GPT-4o overall ACCatom = 0.52 on Social Media Post taskfinding0.752
  GPT-4o persona accuracy at atomic level in most free-form task
• GPT-4o ACCatom = 0.14 for Neutral-O persona in Questionnaire taskfinding0.748
  Very low atomic accuracy for neutral openness persona, illustrating difficulty of ambiguous neutral personas
• GPT-4o-mini achieves highest RCatom = 0.84 in full model listfinding0.745
  GPT-4o-mini most consistent in reproducing persona-aligned atomic distributions across repeated generations