LLMs still leak real-item knowledge in low-knowledge persona simulations
Across five API endpoints from two model families, explicit ignorance prompts still left a favourable-item real-twin rating gap.
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Across five API endpoints from two model families, explicit ignorance prompts still left a favourable-item real-twin rating gap.
On-Policy Trajectory Distillation is reported to best match a production A/B policy effect among tested simulators.
A user simulator and conversation validator run inside Harbor to score whether the agent solves the task.
τ-Emotion-Bench shows emotional users expose reliability gaps in tool-calling LLM agents.
Mind2Dialogue simulates users' mental states to create privileged supervision, boosting personalization metrics of Qwen, Llama, and OLMo assistants by up to 40.9 points.
Mind2Dialogue simulates users' mental states to generate privileged supervision, boosting personalization and preference-following in Qwen, Llama, and OLMo assistants.
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