8 citations · 18 across the 9 of their papers we have counts for
6 papers · 1 filter
Multimodal Large Language Models and Tunings: Vision, Language, Sensors, Audio, and Beyond
Soyeon Caren Han, Feiqi Cao, Josiah Poon +1
This tutorial explores recent advancements in multimodal pretrained and large models, capable of integrating and processing diverse data forms such as text, images, audio, and vide…
ChuLo: Chunk-Level Key Information Representation for Long Document Understanding
Yan Li, Soyeon Caren Han, Yue Dai +1
Transformer-based models have achieved remarkable success in various Natural Language Processing (NLP) tasks, yet their ability to handle long documents is constrained by computati…
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…
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…
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-…
In-game Toxic Language Detection: Shared Task and Attention Residuals
Yuanzhe Jia, Weixuan Wu, Feiqi Cao +1
In-game toxic language becomes the hot potato in the gaming industry and community. There have been several online game toxicity analysis frameworks and models proposed. However, i…