Pinlong Cai

According to our database, Pinlong Cai authored at least 39 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

LeanRAG: Knowledge-Graph-Based Generation with Semantic Aggregation and Hierarchical Retrieval.

Yaoze Zhang, Rong Wu, Pinlong Cai, Xiaoman Wang, Guohang Yan, Song Mao, Ding Wang, Botian Shi

CoRR, August, 2025

From Ranking to Selection: A Simple but Efficient Dynamic Passage Selector for Retrieval Augmented Generation.

Siyuan Meng, Junming Liu, Yirong Chen, Song Mao, Pinlong Cai, Guohang Yan, Botian Shi, Ding Wang

CoRR, August, 2025

DeepWriter: A Fact-Grounded Multimodal Writing Assistant Based On Offline Knowledge Base.

Song Mao, Lejun Cheng, Pinlong Cai, Guohang Yan, Ding Wang, Botian Shi

CoRR, July, 2025

KG-TRACES: Enhancing Large Language Models with Knowledge Graph-constrained Trajectory Reasoning and Attribution Supervision.

Rong Wu, Pinlong Cai, Jianbiao Mei, Licheng Wen, Tao Hu, Xuemeng Yang, Daocheng Fu, Botian Shi

CoRR, June, 2025

O²-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering.

Jianbiao Mei, Tao Hu, Daocheng Fu, Licheng Wen, Xuemeng Yang, Rong Wu, Pinlong Cai, Xinyu Cai, Xing Gao, Yu Yang, Chengjun Xie, Botian Shi, Yong Liu, Yu Qiao

CoRR, May, 2025

GDI-Bench: A Benchmark for General Document Intelligence with Vision and Reasoning Decoupling.

Siqi Li, Yufan Shen, Xiangnan Chen, Jiayi Chen, Hengwei Ju, Haodong Duan, Song Mao, Hongbin Zhou, Bo Zhang, Bin Fu, Pinlong Cai, Licheng Wen, Botian Shi, Yong Liu, Xinyu Cai, Yu Qiao

CoRR, May, 2025

RAKG:Document-level Retrieval Augmented Knowledge Graph Construction.

Hairong Zhang, Jiaheng Si, Guohang Yan, Boyuan Qi, Pinlong Cai, Song Mao, Ding Wang, Botian Shi

CoRR, April, 2025

Aligning Vision to Language: Text-Free Multimodal Knowledge Graph Construction for Enhanced LLMs Reasoning.

Junming Liu, Siyuan Meng, Yanting Gao, Song Mao, Pinlong Cai, Guohang Yan, Yirong Chen, Zilin Bian, Botian Shi, Ding Wang

CoRR, March, 2025

DeepInnovation AI: A Global Dataset Mapping the AI innovation from Academic Research to Industrial Patents.

Haixing Gong, Zou Hui, Liang Xingzhou, Shiyuan Meng, Pinlong Cai, Xingcheng Xu, Jingjing Qu

CoRR, March, 2025

LimSim Series: An Autonomous Driving Simulation Platform for Validation and Enhancement.

Daocheng Fu, Naiting Zhong, Xu Han, Pinlong Cai, Licheng Wen, Song Mao, Botian Shi, Yu Qiao

CoRR, February, 2025

OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text.

Qingyun Li, Zhe Chen, Weiyun Wang, Wenhai Wang, Shenglong Ye, Zhenjiang Jin, Guanzhou Chen, Yinan He, Zhangwei Gao, Erfei Cui, Jiashuo Yu, Hao Tian, Jiasheng Zhou, Chao Xu, Bin Wang, Xingjian Wei, Wei Li, Wenjian Zhang, Bo Zhang, Pinlong Cai, et al.

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Human-Like Decision Making at Unsignalized Intersections Using Social Value Orientation.

Yan Tong, Licheng Wen, Pinlong Cai, Daocheng Fu, Song Mao, Botian Shi, Yikang Li

IEEE Intell. Transp. Syst. Mag., 2024

From Words to Wheels: Automated Style-Customized Policy Generation for Autonomous Driving.

Xu Han, Xianda Chen, Zhenghan Cai, Pinlong Cai, Meixin Zhu, Xiaowen Chu

CoRR, 2024

DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving.

Xuemeng Yang, Licheng Wen, Yukai Ma, Jianbiao Mei, Xin Li, Tiantian Wei, Wenjie Lei, Daocheng Fu, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yong Liu, Yu Qiao

CoRR, 2024

KoMA: Knowledge-driven Multi-agent Framework for Autonomous Driving with Large Language Models.

Kemou Jiang, Xuan Cai, Zhiyong Cui, Aoyong Li, Yilong Ren, Haiyang Yu, Hao Yang, Daocheng Fu, Licheng Wen, Pinlong Cai

CoRR, 2024

DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models.

Renqiu Xia, Song Mao, Xiangchao Yan, Hongbin Zhou, Bo Zhang, Haoyang Peng, Jiahao Pi, Daocheng Fu, Wenjie Wu, Hancheng Ye, Shiyang Feng, Bin Wang, Chao Xu, Conghui He, Pinlong Cai, Min Dou, Botian Shi, Sheng Zhou, Yongwei Wang, Bin Wang, Junchi Yan, Fei Wu, Yu Qiao

CoRR, 2024

OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text.

Qingyun Li, Zhe Chen, Weiyun Wang, Wenhai Wang, Shenglong Ye, Zhenjiang Jin, Guanzhou Chen, Yinan He, Zhangwei Gao, Erfei Cui, Jiashuo Yu, Hao Tian, Jiasheng Zhou, Chao Xu, Bin Wang, Xingjian Wei, Wei Li, Wenjian Zhang, Bo Zhang, Pinlong Cai, Licheng Wen, Xiangchao Yan, Zhenxiang Li, Pei Chu, Yi Wang, Min Dou, Changyao Tian, Xizhou Zhu, Lewei Lu, Yushi Chen, Junjun He, Zhongying Tu, Tong Lu, Yali Wang, Limin Wang, Dahua Lin, Yu Qiao, Botian Shi, Conghui He, Jifeng Dai

CoRR, 2024

OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous Driving.

Guohang Yan, Jiahao Pi, Jianfei Guo, Zhaotong Luo, Min Dou, Nianchen Deng, Qiusheng Huang, Daocheng Fu, Licheng Wen, Pinlong Cai, Xing Gao, Xinyu Cai, Bo Zhang, Xuemeng Yang, Yeqi Bai, Hongbin Zhou, Botian Shi

CoRR, 2024

How far are we to GPT-4V? Closing the gap to commercial multimodal models with open-source suites.

Zhe Chen, Weiyun Wang, Hao Tian, Shenglong Ye, Zhangwei Gao, Erfei Cui, Wenwen Tong, Kongzhi Hu, Jiapeng Luo, Zheng Ma, Ji Ma, Jiaqi Wang, Xiaoyi Dong, Hang Yan, Hewei Guo, Conghui He, Botian Shi, Zhenjiang Jin, Chao Xu, Bin Wang, Xingjian Wei, Wei Li, Wenjian Zhang, Bo Zhang, Pinlong Cai, Licheng Wen, Xiangchao Yan, Min Dou, Lewei Lu, Xizhou Zhu, Tong Lu, Dahua Lin, Yu Qiao, Jifeng Dai, Wenhai Wang

Sci. China Inf. Sci., 2024

Drive Like a Human: Rethinking Autonomous Driving with Large Language Models.

Daocheng Fu, Xin Li, Licheng Wen, Min Dou, Pinlong Cai, Botian Shi, Yu Qiao

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving.

Jianbiao Mei, Yukai Ma, Xuemeng Yang, Licheng Wen, Xinyu Cai, Xin Li, Daocheng Fu, Bo Zhang, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yong Liu, Yu Qiao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

AccidentGPT: A V2X Environmental Perception Multi-modal Large Model for Accident Analysis and Prevention.

Lening Wang, Yilong Ren, Han Jiang, Pinlong Cai, Daocheng Fu, Tianqi Wang, Zhiyong Cui, Haiyang Yu, Xuesong Wang, Hanchu Zhou, Helai Huang, Yinhai Wang

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

LimSim++: A Closed-Loop Platform for Deploying Multimodal LLMs in Autonomous Driving.

Daocheng Fu, Wenjie Lei, Licheng Wen, Pinlong Cai, Song Mao, Min Dou, Botian Shi, Yu Qiao

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models.

Licheng Wen, Daocheng Fu, Xin Li, Xinyu Cai, Tao Ma, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yu Qiao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

A computationally efficient and refined signal control method for isolated intersections in a connected vehicle environment.

Rongjian Dai, Pinlong Cai, Xu Wang, Ruhua Zhang

Expert Syst. Appl., December, 2023

AccidentGPT: Accident Analysis and Prevention from V2X Environmental Perception with Multi-modal Large Model.

Lening Wang, Yilong Ren, Han Jiang, Pinlong Cai, Daocheng Fu, Tianqi Wang, Zhiyong Cui, Haiyang Yu, Xuesong Wang, Hanchu Zhou, Helai Huang, Yinhai Wang

CoRR, 2023

Towards Knowledge-driven Autonomous Driving.

Xin Li, Yeqi Bai, Pinlong Cai, Licheng Wen, Daocheng Fu, Bo Zhang, Xuemeng Yang, Xinyu Cai, Tao Ma, Jianfei Guo, Xing Gao, Min Dou, Yikang Li, Botian Shi, Yong Liu, Liang He, Yu Qiao

CoRR, 2023

Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future.

Hongyang Li, Yang Li, Huijie Wang, Jia Zeng, Pinlong Cai, Huilin Xu, Dahua Lin, Junchi Yan, Feng Xu, Lu Xiong, Jingdong Wang, Futang Zhu, Kai Yan, Chunjing Xu, Tiancai Wang, Beipeng Mu, Shaoqing Ren, Zhihui Peng, Yu Qiao

CoRR, 2023

On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving.

Licheng Wen, Xuemeng Yang, Daocheng Fu, Xiaofeng Wang, Pinlong Cai, Xin Li, Tao Ma, Yingxuan Li, Linran Xu, Dengke Shang, Zheng Zhu, Shaoyan Sun, Yeqi Bai, Xinyu Cai, Min Dou, Shuanglu Hu, Botian Shi, Yu Qiao

CoRR, 2023

TrafficGPT: Viewing, Processing and Interacting with Traffic Foundation Models.

Siyao Zhang, Daocheng Fu, Zhao Zhang, Bin Yu, Pinlong Cai

CoRR, 2023

EnsembleFollower: A Hybrid Car-Following Framework Based On Reinforcement Learning and Hierarchical Planning.

Xu Han, Xianda Chen, Meixin Zhu, Pinlong Cai, Jianshan Zhou, Xiaowen Chu

CoRR, 2023

TrafficMCTS: A Closed-Loop Traffic Flow Generation Framework with Group-Based Monte Carlo Tree Search.

Licheng Wen, Ze Fu, Pinlong Cai, Daocheng Fu, Song Mao, Botian Shi

CoRR, 2023

Human-like Decision-making at Unsignalized Intersection using Social Value Orientation.

Yan Tong, Licheng Wen, Pinlong Cai, Daocheng Fu, Song Mao, Yikang Li

CoRR, 2023

Robust Car-Following Control of Connected and Autonomous Vehicles: A Stochastic Model Predictive Control Approach.

Peiyu Zhang, Jianshan Zhou, Daxin Tian, Xuting Duan, Kaige Qu, Dezong Zhao, Zhengguo Sheng, Pinlong Cai, Victor C. M. Leung

Proceedings of the Int'l ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications, 2023

RoW-based Parallel Control for Mixed Traffic Scenario: A Case Study on Lane-Changing.

Jingru Yu, Yi Yu, Shengyue Yao, Ding Wang, Pinlong Cai, Honghai Li, Li Li, Fei-Yue Wang, Yilun Lin

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

LimSim: A Long-Term Interactive Multi-Scenario Traffic Simulator.

Licheng Wen, Daocheng Fu, Song Mao, Pinlong Cai, Min Dou, Yikang Li, Yu Qiao

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

Bringing Diversity to Autonomous Vehicles: An Interpretable Multi-vehicle Decision-making and Planning Framework.

Licheng Wen, Pinlong Cai, Daocheng Fu, Song Mao, Yikang Li

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

General Driving Behavior Model based on the Desired Safety Margin for Vehicle Flow Simulation.

Pinlong Cai, Junjie Zhang, Xuan Zhao, Yikang Li

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2019

Tunable and Transferable RBF Model for Short-Term Traffic Forecasting.

Pinlong Cai, Yunpeng Wang, Guangquan Lu

IEEE Trans. Intell. Transp. Syst., 2019