1 code implementation • 24 Jun 2024 • Yirui Chen, Pengjin Wei, Zhenhuan Liu, Bingchao Wang, Jie Yang, Wei Liu
Producing traversability maps and understanding the surroundings are crucial prerequisites for autonomous navigation.
no code implementations • 10 Jan 2024 • Bingchao Wang
Recently, various Large Language Models (LLMs) evaluation datasets have emerged, but most of them have issues with distorted rankings and difficulty in model capabilities analysis.
1 code implementation • 1 Jul 2022 • Feiliang Ren, Yongkang Liu, Bochao Li, Shilei Liu, Bingchao Wang, Jiaqi Wang, Chunchao Liu, Qi Ma
In this paper, we propose an understanding-oriented machine reading comprehension model to address three kinds of robustness issues, which are over sensitivity, over stability and generalization.
no code implementations • 25 Feb 2022 • Feiliang Ren, Yongkang Liu, Bochao Li, Zhibo Wang, Yu Guo, Shilei Liu, Huimin Wu, Jiaqi Wang, Chunchao Liu, Bingchao Wang
Most existing multi-document machine reading comprehension models mainly focus on understanding the interactions between the input question and documents, but ignore following two kinds of understandings.