Longfei Yun

According to our database, Longfei Yun authored at least 18 papers between 2023 and 2026.

Collaborative distances:

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

2026

BOOKMARKS: Efficient Active Storyline Memory for Role-playing.

Letian Peng, Ziche Liu, Yiming Huang, Longfei Yun, Kun Zhou, Yupeng Hou, Jingbo Shang

CoRR, May, 2026

Simulating Organized Group Behavior: New Framework, Benchmark, and Analysis.

Xinkai Zou, Yiming Huang, Zhuohang Wu, Jian Sha, Nan Huang, Longfei Yun, Jingbo Shang, Letian Peng

CoRR, April, 2026

Decoding ML Decision: An Agentic Reasoning Framework for Large-Scale Ranking System.

Longfei Yun, Yihan Wu, Haoran Liu, Xiaoxuan Liu, Ziyun Xu, Yi Wang, Yang Xia, Pengfei Wang, Mingze Gao, Yunxiang Wang, Changfan Chen, Junfeng Pan

CoRR, February, 2026

CodeOCR: On the Effectiveness of Vision Language Models in Code Understanding.

Yuling Shi, Chaoxiang Xie, Zhensu Sun, Yeheng Chen, Chenxu Zhang, Longfei Yun, Chengcheng Wan, Hongyu Zhang, David Lo, Xiaodong Gu

CoRR, February, 2026

Deriving Character Logic from Storyline as Codified Decision Trees.

Letian Peng, Kun Zhou, Longfei Yun, Yupeng Hou, Jingbo Shang

CoRR, January, 2026

Codified Foreshadowing-Payoff Text Generation.

Longfei Yun, Kun Zhou, Yupeng Hou, Letian Peng, Jingbo Shang

CoRR, January, 2026

2025

A Tale of LLMs and Induced Small Proxies: Scalable Agents for Knowledge Mining.

Sipeng Zhang, Longfei Yun, Zilong Wang, Jingbo Shang, Letian Peng

CoRR, October, 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, July, 2025

UltraGen: Extremely Fine-grained Controllable Generation via Attribute Reconstruction and Global Preference Optimization.

Longfei Yun, Letian Peng, Jingbo Shang

CoRR, February, 2025

Scaling Long Context Training Data by Long-Distance Referrals.

Yonghao Zhuang, Lanxiang Hu, Longfei Yun, Souvik Kundu, Zhengzhong Liu, Eric P. Xing, Hao Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ULTRABENCH: Benchmarking LLMs under Extreme Fine-grained Text Generation.

Longfei Yun, Letian Peng, Jingbo Shang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

The Price of Format: Diversity Collapse in LLMs.

Longfei Yun, Chenyang An, Zilong Wang, Letian Peng, Jingbo Shang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

End-to-End Optimization for Multimodal Retrieval-Augmented Generation via Reward Backpropagation.

Zhiyuan Fan, Longfei Yun, Ming Yan, Yumeng Wang, Dadi Guo, Brian Mak, James T. Kwok, Yi R. Fung

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Optimization and Scalability of Collaborative Filtering Algorithms in Large Language Models.

Haowei Yang, Longfei Yun, Jinghan Cao, Qingyi Lu, Yuming Tu

CoRR, 2024

Enhanced Recommendation Combining Collaborative Filtering and Large Language Models.

Xueting Lin, Zhan Cheng, Longfei Yun, Qingyi Lu, Yuanshuai Luo

CoRR, 2024

Toward Inference-optimal Mixture-of-Expert Large Language Models.

Longfei Yun, Yonghao Zhuang, Yao Fu, Eric P. Xing, Hao Zhang

CoRR, 2024

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

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023