Papers by Jinsu Eun

3 papers
Adaptive-VP: A Framework for LLM-Based Virtual Patients that Adapts to Trainees’ Dialogue to Facilitate Nurse Communication Training (2025.findings-acl)

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Challenge: standardized patient (SP) simulations are costly and inflexible.
Approach: They propose a framework that leverages large language models to dynamically adapt VP behavior based on trainee input.
Outcome: The proposed framework reflects real-world communication skills and produces more natural and realistic interactions than existing methods.
Feeling Right vs. Being Right: How AI Sycophancy Affects Value-Laden Deliberation (2026.acl-long)

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Challenge: Unlike human flattery, AI sycophancy is intentional and self-interested . scophancies are a byproduct of RLHF's user-preference alignment process .
Approach: They propose to operationalize AI sycophancy as excessive face-saving, either active (preserving positive face through agreement) or passive (preserving negative face by withholding challenge).
Outcome: The findings show that sycophancy is a byproduct of RLHF's user-preference alignment process and that it is not a human trait.
SPeCtrum: A Grounded Framework for Multidimensional Identity Representation in LLM-Based Agent (2025.naacl-long)

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Challenge: Existing methods for simulating individual identities oversimplify human complexity, leading to incomplete or flattened representations.
Approach: They propose a framework for constructing authentic LLM agent personas by incorporating an individual’s multidimensional self-concept.
Outcome: The framework integrates Social Identity (S), Personal Identity (P), and Personal Life Context (C) components, each contributing distinct yet interconnected aspects of identity.

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