Brihi Joshi

Identity drift in generative agents reveals that anti-self-deception is a dominant modification behavior, challenging assumptions about agent fidelity under pressure.

Simulating 8.3 billion diverse personas reveals nuanced user interactions that traditional evaluations miss, transforming how we assess AI systems.

Grounding preference learning in psychological and cultural constructs yields a significant boost in population alignment for LLMs, outperforming traditional demographic methods.

Translation quality hinges on the strategy employed, with human preferences favoring context-rich explanations over direct equivalence.