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cs.CL2026
Latent Preference Modeling for Multi-Session Personalized Tool Calling
Yejin Yoon, Minseo Kim, Taeuk Kim
Users often omit essential details in their requests to LLM-based agents, resulting in under-specified inputs for tool use. This poses a fundamental challenge for tool-augmented ag…
cs.CL2026
PICon: A Multi-Turn Interrogation Framework for Evaluating Persona Agent Consistency
Minseo Kim, Sujeong Im, Junseong Choi +4
Large language model (LLM)-based persona agents are rapidly being adopted as scalable proxies for human participants across diverse domains. Yet there is no systematic method for v…