1 citations · 1 across the 7 of their papers we have counts for
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Knowing What Not to Answer: Selective Non-Compliance in Vision-Language Models
Minji Kim, Jihyoung Jang, Hyounghun Kim
Vision-language models (VLMs) are expected to respond helpfully to appropriate requests while withholding compliance with requests that are incorrect, unsafe, infeasible, or unansw…
PACE: Towards Surfacing Hidden Conflicts in User Requests
Yoojin Kim, Jihyoung Jang, Hyounghun Kim
Personalized assistants should not only comply with user requests but also assess whether those requests are appropriate given the user's current circumstances. However, prior work…
Enabling Chatbots with Eyes and Ears: An Immersive Multimodal Conversation System for Dynamic Interactions
Jihyoung Jang, Minwook Bae, Minji Kim +2
As chatbots continue to evolve toward human-like, real-world, interactions, multimodality remains an active area of research and exploration. So far, efforts to integrate multimoda…
Self-Correcting Code Generation Using Small Language Models
Jeonghun Cho, Deokhyung Kang, Hyounghun Kim +1
Self-correction has demonstrated potential in code generation by allowing language models to revise and improve their outputs through successive refinement. Recent studies have exp…
Mixed-Session Conversation with Egocentric Memory
Jihyoung Jang, Taeyoung Kim, Hyounghun Kim
Recently introduced dialogue systems have demonstrated high usability. However, they still fall short of reflecting real-world conversation scenarios. Current dialogue systems exhi…
Conversation Chronicles: Towards Diverse Temporal and Relational Dynamics in Multi-Session Conversations
Jihyoung Jang, Minseong Boo, Hyounghun Kim
In the field of natural language processing, open-domain chatbots have emerged as an important research topic. However, a major limitation of existing open-domain chatbot research…