Peng Jin

Dropout Token To Improve Neural Language Model

2021 · 2021 17th International Conference on Computational Intelligence and Security (CIS)

Dropout, as an effective avoid over-fitting method for training a neural network, is widely used in both computer vision and natural language progressing. The typical approach is dropping out hidden and visible units. Specifically, the …

LLMBind: A Unified Modality-Task Integration Framework

2024 · arXiv (Cornell University)

Despite recent progress in Multi-Modal Large Language Models (MLLMs), it remains challenging to integrate diverse tasks ranging from pixel-level perception to high-fidelity generation. Existing approaches often suffer from either restricted task extensibility or severe performance …