4 papers
mChartQA: A universal benchmark for multimodal Chart Question Answer based on Vision-Language Alignment and Reasoning
Jingxuan Wei, Nan Xu, Guiyong Chang +3
In the fields of computer vision and natural language processing, multimodal chart question-answering, especially involving color, structure, and textless charts, poses significant…
YAYI 2: Multilingual Open-Source Large Language Models
Yin Luo, Qingchao Kong, Nan Xu +50
As the latest advancements in natural language processing, large language models (LLMs) have achieved human-level language understanding and generation abilities in many real-world…
YAYI-UIE: A Chat-Enhanced Instruction Tuning Framework for Universal Information Extraction
Xinglin Xiao, Yijie Wang, Nan Xu +7
The difficulty of the information extraction task lies in dealing with the task-specific label schemas and heterogeneous data structures. Recent work has proposed methods based on…
Rational Sensibility: LLM Enhanced Empathetic Response Generation Guided by Self-presentation Theory
Linzhuang Sun, Yao Dong, Nan Xu +3
The development of Large Language Models (LLMs) provides human-centered Artificial General Intelligence (AGI) with a glimmer of hope. Empathy serves as a key emotional attribute of…