9 citations · 19 across the 5 of their papers we have counts for
5 papers
WanJuan: A Comprehensive Multimodal Dataset for Advancing English and Chinese Large Models
Conghui He, Zhenjiang Jin, Chao Xu +6
The rise in popularity of ChatGPT and GPT-4 has significantly accelerated the development of large models, leading to the creation of numerous impressive large language models(LLMs…
Explore-Bench: Data Sets, Metrics and Evaluations for Frontier-based and Deep-reinforcement-learning-based Autonomous Exploration
Yuanfan Xu, Jincheng Yu, Jiahao Tang +5
Autonomous exploration and mapping of unknown terrains employing single or multiple robots is an essential task in mobile robotics and has therefore been widely investigated. Never…
Multi-UAV Coverage Planning with Limited Endurance in Disaster Environment
Hongyu Song, Jincheng Yu, Jiantao Qiu +5
For scenes such as floods and earthquakes, the disaster area is large, and rescue time is tight. Multi-UAV exploration is more efficient than a single UAV. Existing UAV exploration…
Relative Distributed Formation and Obstacle Avoidance with Multi-agent Reinforcement Learning
Yuzi Yan, Xiaoxiang Li, Xinyou Qiu +4
Multi-agent formation as well as obstacle avoidance is one of the most actively studied topics in the field of multi-agent systems. Although some classic controllers like model pre…
DNNVM : End-to-End Compiler Leveraging Heterogeneous Optimizations on FPGA-based CNN Accelerators
Yu Xing, Shuang Liang, Lingzhi Sui +6
The convolutional neural network (CNN) has become a state-of-the-art method for several artificial intelligence domains in recent years. The increasingly complex CNN models are bot…