RISE is a "Real-to-Virtual" method designed to mitigate "intent deviation" in LLM tool-using agents. It synthesizes virtual trajectories and diverse negative samples from verified tool primitives to fine-tune LLMs, improving their alignment and reliability.
RISE is a new method that helps advanced AI models (LLMs) use tools more reliably by fixing a problem called "intent deviation." It creates realistic fake scenarios and mistakes to teach the AI how to better understand and follow user instructions, making the AI's actions more predictable and trustworthy.
RISE
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