3 citations · 5 across the 7 of their papers we have counts for
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cs.CV2024★ 3 cited
On-the-fly Modulation for Balanced Multimodal Learning
Yake Wei, Di Hu, Henghui Du +1
Multimodal learning is expected to boost model performance by integrating information from different modalities. However, its potential is not fully exploited because the widely-us…
cs.CV2024
Boosting Audio Visual Question Answering via Key Semantic-Aware Cues
Guangyao Li, Henghui Du, Di Hu
The Audio Visual Question Answering (AVQA) task aims to answer questions related to various visual objects, sounds, and their interactions in videos. Such naturally multimodal vide…
cs.CL2024★ 2 cited
Towards Effective and Efficient Continual Pre-training of Large Language Models
Jie Chen, Zhipeng Chen, Jiapeng Wang +16
Continual pre-training (CPT) has been an important approach for adapting language models to specific domains or tasks. To make the CPT approach more traceable, this paper presents…