Papers by Jea Kwon

2 papers
Machine Behavior in Relational Moral Dilemmas: Moral Rightness, Predicted Human Behavior, and Model Decisions (2026.findings-acl)

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Challenge: Human moral judgment is context-dependent and changes based on interpersonal relationships.
Approach: They characterize LLM behavior using the Whistleblower’s Dilemma . they find moral rightness remains consistently fairness-oriented .
Outcome: The model decisions mirror moral rightness judgments, rather than their behavioral predictions.
How Training Data Shapes the Use of Parametric and In-Context Knowledge in Language Models (2026.acl-long)

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Challenge: Large language models leverage parametric and in-context knowledge in training . however, when these sources conflict, models arbitrate based on their internal confidence .
Approach: They conduct controlled experiments using synthetic corpora to identify data properties that shape knowledge utilization.
Outcome: The results show that the robust use of both knowledge sources is an emergent property . the results provide guidance for designing training data that supports the reliability of parametric and in-context knowledge in language models.

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