Google Research trains user simulators with latent intrinsic feedback, cutting RL compute by over half
cocoweixu · x · 2026-10-13
Google Research and Georgia Tech introduce user simulators with latent intrinsic feedback: models that track internal thoughts, reactions, and scalar ratings of the assistant at each turn, not just user utterances. Trained on real user-assistant logs, they beat prompted baselines in realism and critique, correlate better with human judgments, and serve as reward signals for multi-turn RL — replacing external judge LLMs while cutting RL compute by more than half.
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