Do LLMs Have Desires?
Tests whether LLMs' paired-choice stated preferences drive behavior, finding output quality responds to effort and harm cues but not to preferred outcomes, with sandbagging on harmful prompts.
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LessWrong
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A Mirror Test For LLMs
Proposes a Mirror-Window game to test LLM self-awareness by having models identify their own outputs among others' tokens, finding strong results for some recent models, which the authors conclude still fall short.
Evaluation Awareness Scales Predictably in Open-Weights Large Language Models
Probes steering-vector activations across 15 open-weight models from 0.27B to 70B to show evaluation awareness grows with model size, with a power-law trend and Qwen as an outlier.