Sheng Liang

Modular and Parameter-Efficient Multimodal Fusion with Prompting

2022 · Findings of the Association for Computational Linguistics: ACL 2022

Recent research has made impressive progress in large-scale multimodal pre-training. In the context of the rapid growth of model size, it is necessary to seek efficient and flexible methods other than finetuning. In this paper, …

From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs

2025 · arXiv (Cornell University)

Memory is the process of encoding, storing, and retrieving information, allowing humans to retain experiences, knowledge, skills, and facts over time, and serving as the foundation for growth and effective interaction with the world. It …