Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving. - Xiaoyu Tian; Tao Jiang; Longfei Yun; Yucheng Mao; Huitong Yang; Yue Wang; Yilun Wang; Hang Zhao (NeurIPS, 2023)

Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving. - Xiaoyu Tian; Tao Jiang; Longfei Yun; Yue Wang; Yilun Wang; Hang Zhao (CoRR, 2023)

Toward Inference-optimal Mixture-of-Expert Large Language Models. - Longfei Yun; Yonghao Zhuang 001; Yao Fu; Eric P. Xing; Hao Zhang 025 (CoRR, 2024)

Enhanced Recommendation Combining Collaborative Filtering and Large Language Models. - Xueting Lin; Zhan Cheng; Longfei Yun; Qingyi Lu; Yuanshuai Luo (CoRR, 2024)

Optimization and Scalability of Collaborative Filtering Algorithms in Large Language Models. - Haowei Yang; Longfei Yun; Jinghan Cao; Qingyi Lu; Yuming Tu (CoRR, 2024)

Scaling Long Context Training Data by Long-Distance Referrals. - Yonghao Zhuang 001; Lanxiang Hu; Longfei Yun; Souvik Kundu 009; Zhengzhong Liu 001; Eric P. Xing; Hao Zhang 025 (ICLR, 2025)

UltraGen: Extremely Fine-grained Controllable Generation via Attribute Reconstruction and Global Preference Optimization. - Longfei Yun; Letian Peng; Jingbo Shang (CoRR, 2025)

The Price of Format: Diversity Collapse in LLMs. - Longfei Yun; Chenyang An; Zilong Wang 002; Letian Peng; Jingbo Shang (CoRR, 2025)

SWE-Exp: Experience-Driven Software Issue Resolution. - Silin Chen; Shaoxin Lin; Xiaodong Gu; Yuling Shi; Heng Lian; Longfei Yun; Dong Chen; Weiguo Sun; Lin Cao; Qianxiang Wang (CoRR, 2025)