1 citations · 3 across the 11 of their papers we have counts for
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SMILE-Next: Teaching Large Language Models to Detect, Classify, and Reason about Laughter
Lee Jung-Mok, Kim Sung-Bin, Joohyun Chang +2
Laughter is a complex social signal that conveys communicative intent beyond amusement. While prior work has focused on isolated laughter analysis tasks, a comprehensive understand…
A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search
Baek Seong-Eun, Lee Jung-Mok, Kim Sung-Bin +1
Fine-tuning Large Language Models (LLMs) with Low-Rank Adaptation (LoRA) offers a resource-efficient way to personalize or specialize. However, LoRA is highly sensitive to hyperpar…
SMILE: Multimodal Dataset for Understanding Laughter in Video with Language Models
Lee Hyun, Kim Sung-Bin, Seungju Han +2
Despite the recent advances of the artificial intelligence, building social intelligence remains a challenge. Among social signals, laughter is one of the distinctive expressions t…