1 citations · 1 across the 5 of their papers we have counts for
5 papers
Investigating Counterfactual Unfairness in LLMs towards Identities through Humor
Shubin Kim, Yejin Son, Junyeong Park +6
Humor holds up a mirror to social perception: what we find funny often reflects who we are and how we judge others. When language models engage with humor, their reactions expose t…
InfoCausalQA:Can Models Perform Non-explicit Causal Reasoning Based on Infographic?
Keummin Ka, Junhyeong Park, Jaehyun Jeon +1
Recent advances in Vision-Language Models (VLMs) have demonstrated impressive capabilities in perception and reasoning. However, the ability to perform causal inference -- a core a…
VAGUE: Visual Contexts Clarify Ambiguous Expressions
Heejeong Nam, Jinwoo Ahn, Keummin Ka +2
Human communication often relies on visual cues to resolve ambiguity. While humans can intuitively integrate these cues, AI systems often find it challenging to engage in sophistic…
Towards Lifelong Dialogue Agents via Timeline-based Memory Management
Kai Tzu-iunn Ong, Namyoung Kim, Minju Gwak +6
To achieve lifelong human-agent interaction, dialogue agents need to constantly memorize perceived information and properly retrieve it for response generation (RG). While prior st…
Ever-Evolving Memory by Blending and Refining the Past
Seo Hyun Kim, Keummin Ka, Yohan Jo +3
For a human-like chatbot, constructing a long-term memory is crucial. However, current large language models often lack this capability, leading to instances of missing important u…