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2020 – today
- 2025
[c2]Yonghao Zhuang, Lanxiang Hu, Longfei Yun, Souvik Kundu, Zhengzhong Liu, Eric P. Xing, Hao Zhang:
Scaling Long Context Training Data by Long-Distance Referrals. ICLR 2025- [i8]Longfei Yun, Letian Peng, Jingbo Shang:
UltraGen: Extremely Fine-grained Controllable Generation via Attribute Reconstruction and Global Preference Optimization. CoRR abs/2502.12375 (2025) - [i7]Longfei Yun, Chenyang An, Zilong Wang, Letian Peng, Jingbo Shang:
The Price of Format: Diversity Collapse in LLMs. CoRR abs/2505.18949 (2025) - [i6]Silin Chen, Shaoxin Lin, Xiaodong Gu, Yuling Shi, Heng Lian, Longfei Yun, Dong Chen, Weiguo Sun, Lin Cao, Qianxiang Wang:
SWE-Exp: Experience-Driven Software Issue Resolution. CoRR abs/2507.23361 (2025) - [i5]Sipeng Zhang, Longfei Yun, Zilong Wang, Jingbo Shang, Letian Peng:
A Tale of LLMs and Induced Small Proxies: Scalable Agents for Knowledge Mining. CoRR abs/2510.01427 (2025) - 2024
- [i4]Longfei Yun, Yonghao Zhuang, Yao Fu, Eric P. Xing, Hao Zhang:
Toward Inference-optimal Mixture-of-Expert Large Language Models. CoRR abs/2404.02852 (2024) - [i3]Xueting Lin, Zhan Cheng, Longfei Yun, Qingyi Lu, Yuanshuai Luo
:
Enhanced Recommendation Combining Collaborative Filtering and Large Language Models. CoRR abs/2412.18713 (2024) - [i2]Haowei Yang, Longfei Yun, Jinghan Cao, Qingyi Lu, Yuming Tu:
Optimization and Scalability of Collaborative Filtering Algorithms in Large Language Models. CoRR abs/2412.18715 (2024) - 2023
- [c1]Xiaoyu Tian, Tao Jiang, Longfei Yun, Yucheng Mao, Huitong Yang, Yue Wang, Yilun Wang, Hang Zhao:
Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving. NeurIPS 2023 - [i1]Xiaoyu Tian, Tao Jiang, Longfei Yun, Yue Wang, Yilun Wang, Hang Zhao:
Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving. CoRR abs/2304.14365 (2023)
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