I’m Ben Chen (陈犇), the group leader of AI Search Team at Kuaishou Technology. Now I am working on Agentic Search (Mutli-Agent), Generative Recommendation, and MultiModal Retreival.

I have published more than 40 papers at the top international AI conferences, including Search-E1, OneSearch, InfoGain-RAG, and BianQue. I have been awarded the best paper award and outstanding paper award as the first author in the last three years. The total google scholar citations are about 800+.

If you are seeking any form of academic or work collaboration, please feel free to email benchen4395@gmail.com.

📖 Employments

  • 2024.06 - Now, Multimodal Retreival and AI Search, Kuaishou Technology.
  • 2020.07 - 2024.06, International Commerce Business Unit, Alibaba Group.

🔥 News

  • 2026.05:  🎉🎉 Search-E1 is released. A self-distillation driven self-evolution in search-augmented reasoning.
  • 2026.03:  🎉🎉 OneSearch-V2 is realsed. Codes and data are public on OneSearch-Family
  • 2026.01:  🎉🎉 Two papers are accepted in WWW 2026 Main, The Context-aware Reasoning Generative E-commerce Search.
  • 2025.11:  🎉🎉 OneVision and OneSug is released. Accepted in AAAI 2026, and reported by 机器之心.
  • 2025.09:  🎉🎉 OneSearch is released, and reported by 机器之心. accepted by ICML’26!

📝 Publications

Arxiv 2603
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OneSearch-V2: The Latent Reasoning Enhanced Self-distillation Generative Search Framework
Ben Chen, Siyuan Wang, Yufei Ma, Zihan Liang, Xuxin Zhang, Yue Lv, Ying Yang, Huangyu Dai, Lingtao Mao, Tong Zhao, Zhipeng Qian, Xinyu Sun, et. al.

  • A latent reasoning enhanced self-distillation generative search framework. Codes and data are public on OneSearch-Family
  • It effectively mitigates common issues such as information bubbles and long-tail sparsity, without incurring additional inference costs or serving latency
ICML 2026
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OneSearch: A Preliminary Exploration of the Unified End-to-End Generative Framework for E-commerce Search
Ben Chen, Xian Guo, Siyuan Wang, Zihan Liang, Yue Lv, Yufei Ma, Xinlong Xiao, Bowen Xue, Xuxin Zhang, Ying Yang, Huangyu Dai, et. al. (ICML 2026)

  • The first industrial-deployed end-2-end generative framework for e-commerce search, with 24.06% gains in MFU and 75.40% reduction in OPEX.
  • Various offline and online A/B tests are conducted, verifying its effectiveness and efficiency for the real e-commerce search scenarios.

📖 Educations

  • 2017.09 - 2020.06, Master, Huazhong University of Science and Technology, Wuhan.
  • 2013.09 - 2017.06, Undergraduate, Wuhan University, Wuhan.

🎖 Honors and Awards

  • 2024.05, The Outstanding paper of ECML-PKDD 2024.
  • 2021.02, The Best paper of AAAI2021 Shared Task Track.

💬 Invited Talks

💻 Internships

  • 2019.07 - 2020.06, Alibaba, Hangzhou.