4 papers · 1 filter
Same Semantics, Different Outcome: On the Modality Robustness of Multimodal LLMs under Knowledge Conflict
Jungyeon Lee, Yejin Yoon, Taeuk Kim
Multimodal large language models (MLLMs) are increasingly provided with contextual evidence in heterogeneous forms: as a text passage, as a rendered image of the same passage, or a…
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…
Beyond Task-Oriented and Chitchat Dialogues: Proactive and Transition-Aware Conversational Agents
Yejin Yoon, Yuri Son, Namyoung So +5
Conversational agents have traditionally been developed for either task-oriented dialogue (TOD) or open-ended chitchat, with limited progress in unifying the two. Yet, real-world c…
BlendX: Complex Multi-Intent Detection with Blended Patterns
Yejin Yoon, Jungyeon Lee, Kangsan Kim +2
Task-oriented dialogue (TOD) systems are commonly designed with the presumption that each utterance represents a single intent. However, this assumption may not accurately reflect…