RealUserSim grounds LLM simulators in 7,275 executable profiles from real conversations, raising behavioral match rates from 24.2% to 45.3% and revealing agent failures hidden by cooperative simulators.
InFindings of the Association for Computational Linguistics: ACL 2024, pages 14743–14777
2 Pith papers cite this work. Polarity classification is still indexing.
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DPN-LE isolates ~0.5% of neurons via contrastive MLP activation analysis and dual statistical filtering to enable precise personality steering in LLMs with reduced capability degradation.
citing papers explorer
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RealUserSim: Bridging the Reality Gap in Agent Benchmarking via Grounded User Simulation
RealUserSim grounds LLM simulators in 7,275 executable profiles from real conversations, raising behavioral match rates from 24.2% to 45.3% and revealing agent failures hidden by cooperative simulators.
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DPN-LE: Dual Personality Neuron Localization and Editing for Large Language Models
DPN-LE isolates ~0.5% of neurons via contrastive MLP activation analysis and dual statistical filtering to enable precise personality steering in LLMs with reduced capability degradation.