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Yeonju Kim

2 accepted papers

2026

Emotion-Coherent Reasoning for Multimodal LLMs via Emotional Rationale Verifier

AAAI 2026technical

The recent advancement of Multimodal Large Language Models (MLLMs) is transforming human-computer interaction (HCI) from surface-level exchanges into more nuanced and emotionally intelligent communication. To realize this shift, emotion understanding becomes essential allowing systems to capture sub

Cited by 0SourcePDFScholar
2021

MO-BBO: Multi-Objective Bilevel Bayesian Optimization for Robot and Behavior Co-Design

ICRA 2021poster

Robot design is a time-consuming process involving repeated experiments in a variety of environments to optimize multiple, possibly conflicting performance metrics. Moreover, the optimal robot performance for a given design depends on how the robot adapts its behavior to its environment. We propose…

Cited by 12SourceScholar