Pages 5 and 6 illustrating examples of iterative reflective equilibrium from a language model.
Formal explication of reflective equilibrium and technical pipeline (pages 8 and 10).
Testing results (Table 3) and cross-version comparisons (Table 4) from pages 16 and 17.
Mitigation results (Table 5) and external LLM comparisons (Table 6) with agreement among ChatGLM, Vicuna, and GPT-3.5-Turbo (Figure 6) on pages 18 and 19.
Reflecting on our intuitions and principles until they are logically consistent is hard. Can #AI do it?
Ma et al. explicate #ReflectiveEquilibrium (RE) and test how #LLMs iteratively achieve RE on moral scenarios from the #ETHICS benchmark.
doi.org/10.1145/3722554
#xPhi #xJur