Not every user says it all: training tool-using agents with weak users reduces policy success and does not improve performance.
Read the original at arxiv.org→arXiv:2610.24294v1 Announce Type: new Abstract: Tool-using agents are trained and evaluated almost exclusively with strong simulated users who state every detail clearly, yet real users are often weaker. We...
Original headline: "Not Every User Says It All: Training Tool-Using Agents Beyond Ideal Simulated Users"
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- Oct 20, 04:00 UTC arXiv cs.AI lead source Not Every User Says It All: Training Tool-Using Agents Beyond Ideal Simulated Users