Word List
Research on word lists, or more broadly, the relationship between language and other data modalities, focuses on leveraging the power of words to enhance various applications. Current efforts center on using large language models (LLMs) and other deep learning architectures to analyze and generate text for tasks such as improving the interpretability of AI systems, predicting article impact, and even controlling autonomous vehicles via natural language commands. This research is significant because it bridges the gap between human-understandable language and complex data representations, leading to more transparent, efficient, and user-friendly AI systems across diverse fields.
Papers
Multi-View Empowered Structural Graph Wordification for Language Models
Zipeng Liu, Likang Wu, Ming He, Zhong Guan, Hongke Zhao, Nan Feng
SD-Eval: A Benchmark Dataset for Spoken Dialogue Understanding Beyond Words
Junyi Ao, Yuancheng Wang, Xiaohai Tian, Dekun Chen, Jun Zhang, Lu Lu, Yuxuan Wang, Haizhou Li, Zhizheng Wu