Author

Yejin Yoon

Hanyang University

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#artificial intelligence Preprint Apr 2026

Latent Preference Modeling for Multi-Session Personalized Tool Calling

This work presents Multi-Session Personalized Tool Calling (MPT), a benchmark comprising 4,695 instances over 459 multi-session interaction histories that cover three challenges: Preference Recall, Induction, and Transfer, and proposes PRefine, a test-time memory method that maintains the user's latent preference as a...

Yejin Yoon, Minseon Kim, Taeuk Kim · 2 citations

#natural language process... Preprint Sep 2026

Same Semantics, Different Outcome: On the Modality Robustness of Multimodal LLMs under Knowledge Conflict

Modality robustness under knowledge conflict is studied across 13 MLLMs and two datasets, and it is found that instability has practical consequences: it degrades performance in multimodal RAG and can be exploited by adversarial attacks.

Jungyeong Lee, Yejin Yoon, Taeuk Kim · 1 citation