Memory-constrained user simulators show sensitivity to repetition and interference in information retention, with some replicating human-like overall accuracy
Read the original at arxiv.org→arXiv:2610.24232v1 Announce Type: new Abstract: User simulators can help evaluate and train AI systems to interact with humans at scale. To do so, evaluation of user simulators must measure behavioral parity with...
Original headline: "Analyzing Repetition and Interference Effects in Memory-Constrained User Simulators"
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- Oct 20, 04:00 UTC arXiv cs.CL lead source Analyzing Repetition and Interference Effects in Memory-Constrained User Simulators