7 citations · 7 across the 1 of their papers we have counts for
3 papers
cs.CL2024
3M: Multi-modal Multi-task Multi-teacher Learning for Game Event Detection
Thye Shan Ng, Feiqi Cao, Soyeon Caren Han
Esports has rapidly emerged as a global phenomenon with an ever-expanding audience via platforms, like YouTube. Due to the inherent complexity nature of the game, it is challenging…
cs.CL2024★ 1 cited
Game-MUG: Multimodal Oriented Game Situation Understanding and Commentary Generation Dataset
Zhihao Zhang, Feiqi Cao, Yingbin Mo +3
The dynamic nature of esports makes the situation relatively complicated for average viewers. Esports broadcasting involves game expert casters, but the caster-dependent game comme…
cs.CL2024
PEACH: Pretrained-embedding Explanation Across Contextual and Hierarchical Structure
Feiqi Cao, Caren Han, Hyunsuk Chung
In this work, we propose a novel tree-based explanation technique, PEACH (Pretrained-embedding Explanation Across Contextual and Hierarchical Structure), that can explain how text-…