3 citations · 8 across the 41 of their papers we have counts for
8 papers · 2 filters
Source Preference in the Wild: How LLM Agents Favor Items by Source, and How to Reduce It
Jonghyun Song, Haewon Park, Jeonghoon Shim +2
As LLM agents decide on users' behalf which product to buy, which hotel to book, or which paper to cite, a preference for items from certain sources (the sites or services they com…
ArcANE: Do Role-Playing Language Agents Stay in Character at the Right Time?
Woojung Song, Nalim Kim, Sangjun Song +3
Role-playing language agents (RPLAs) simulate specific characters and personas across applications such as entertainment, companionship, interactive storytelling, and education. Fa…
Where Should Diffusion Enter a Language Model? Geometry-Guided Hidden-State Replacement
Injin Kong, Hyoungjoon Lee, Yohan Jo
Continuous diffusion language models require choosing a representation space in which denoising operates, yet it remains unclear which representations are most compatible with diff…
MIST: Multimodal Interactive Speech-based Tool-calling Conversational Assistants for Smart Homes
Maximillian Chen, Xuanming Zhang, Michael Peng +3
The rise of Internet of Things (IoT) devices in the physical world necessitates voice-based interfaces capable of handling complex user experiences. While modern Large Language Mod…
SpokenUS: A Spoken User Simulator for Task-Oriented Dialogue
Jonggeun Lee, Junseong Pyo, Jeongmin Park +1
Robust voice agents require exposure to the full diversity of how people interact through speech. However, obtaining enough spoken interactions is prohibitively expensive. Building…
Stress-Testing Emotional Support Models: Moving from Homogeneous to Diverse Help Seekers
Chaewon Heo, Cheyon Jin, Yohan Jo
As emotional support chatbots have recently gained significant traction across both research and industry, a common evaluation strategy has emerged: use help-seeker simulators to i…
Learning to Retrieve User History and Generate User Profiles for Personalized Persuasiveness Prediction
Sejun Park, Yoonah Park, Jongwon Lim +1
Estimating the persuasiveness of messages is critical in various applications, from recommender systems to safety assessment of LLMs. While it is imperative to consider the target…
SpeakerSleuth: Can Large Audio-Language Models Judge Speaker Consistency across Multi-turn Dialogues?
Jonggeun Lee, Junseong Pyo, Gyuhyeon Seo +1
Large Audio-Language Models (LALMs) as judges have emerged as a prominent approach for evaluating speech generation quality, yet their ability to assess speaker consistency across…