Renze Lou

Renze Lou

PhD @ PSU

About me

My name is Renze Lou ( 楼仁泽 ), a third-year PhD student at Penn State University. I am glad to be supervised by Prof. Wenpeng Yin. Before PSU, I got my B.Eng. degree from Zhejiang University City College.

My current research interests cover AI for Science, Instruction Tuning and Agent 🤖. I am actively looking for research collaborators. If you are interested, feel free to reach out via email 🤗.

I am now actively seeking a Research Internship position for summer 2025.

Appreciate any opportunities or referrals!

Updates:

  • Oct. 2024: We released AAAR-1.0, a novel benchmark for assessing AI’s potential in assisting high-level ML research tasks. Stay tuned on our leaderboard and website!
  • May 2024: Start my Research internships @ Salesforce Research (Palo Alto, CA).
  • Jan. 2024. Two papers were accepted by ICLR 2024. Thanks to all of my awesome collaborators!
  • Oct. 2023: We released ✨✨ MUFFIN, a novel LLM-synthetic dataset for instruction tuning. Check it out on our project website 👈.
  • Mar. 2023: 🔥🔥🔥 We released a comprehensive survey on Instruction Learning. Check it out on arXiv. The corresponding paper list (more than 160 papers) is also available on github.

Selected Publications:

See the full publication record on my latest CV.

  1. Renze Lou, Hanzi Xu, Sijia Wang, Jiangshu Du, Ryo Kamoi, Xiaoxin Lu, Jian Xie, Yuxuan Sun, Yusen Zhang, Jihyun Janice Ahn, Hongchao Fang, Zhuoyang Zou, Wenchao Ma, Xi Li, Kai Zhang, Congying Xia, Lifu Huang, Wenpeng Yin. AAAR-1.0: Assessing AI’s Potential to Assist Research. arXiv Preprint 2024.
    [Paper]; [Website]
  2. Jian Xie*, Kai Zhang*, Jiangjie Chen, Tinghui Zhu, Renze Lou, Yuandong Tian, Yanghua Xiao, Yu Su. TravelPlanner: A Benchmark for Real-World Planning with Language Agents. In ICML 2024.
    [Paper]; [Website]
    Spotlight (3.5%)
  3. Renze Lou, Kai Zhang, Jian Xie, Yuxuan Sun, Janice Ahn, Hanzi Xu, Yu Su, Wenpeng Yin. MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction-Following. In ICLR 2024.
    [Paper]; [Website]
  4. Jian Xie*, Kai Zhang*, Jiangjie Chen, Renze Lou, Yu Su. Adaptive Chameleon or Stubborn Sloth: Unraveling the Behavior of Large Language Models in Knowledge Conflicts. In ICLR 2024.
    [Paper]; [Code]
    Spotlight (5%)
  5. Lin Sun*, Kai Zhang*, Qingyuan Li*, Renze Lou. UMIE: Unified Multimodal Information Extraction with Instruction Tuning. In AAAI 2024.
    [Paper]; [Code]
    Oral
  6. Renze Lou and Wenpeng Yin. Forget Demonstrations, Focus on Learning from Textual Instructions. In EACL 2024 Student Research Workshop.
    [Paper]; [Code]
  7. Renze Lou, Kai Zhang, Wenpeng Yin. Is Prompt All You Need? No. A Comprehensive and Broader View of Instruction Learning. In Computational Linguistics 2024.
    [Paper]; [Paper List]
  8. Weicheng Ma*, Kai Zhang*, Renze Lou, Lili Wang and Soroush Vosoughi. Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks. In ACL 2021.
    [Paper]; [Code]
    Oral
  9. Renze Lou*, Yutong Wang*, Kai Zhang*, Maoyan Chen and Yujiu Yang. MORE: A Metric Learning Based Framework for Open-Domain Relation Extraction. In ICASSP 2021.
    [Paper]; [Code]
  10. Renze Lou*, Fan Zhang*, Xiaowei Zhou, Yutong Wang, Minghui Wu, Lin Sun. A Unified Representation Learning Strategy for Open Relation Extraction with Ranked List Loss. In CCL 2021.
    [Paper]; [Code]

Work Experience:

  • Research Intern @ SalesForce AI Research.
    -- Yingbo Zhou’s group. May 2024 ~ Aug. 2024.

  • Research Assistant @ The Chinese University of Hongkong (Shenzhen).
    -- Cooperated with Prof. Yan Song and Yuanhe Tian (University of Washington). Oct. 2021 ~ May 2022.
  • Research Intern @ Dartmouth College.
    -- Worked closely with Prof. Soroush Vosoughi and Weicheng Ma. Oct. 2020 ~ Aug. 2021.
  • Research Intern @ Tsinghua Shenzhen International Graduate School.
    -- Advised by Prof. Yujiu Yang. Jun. 2020 ~ Oct. 2020.

Selected Awards:

  • Outstanding Technical Contribution Grant for OpenVINO.
    -- Awarded by Intel, 2022.
  • Outstanding Graduates of Zhejiang Province (浙江省杰出毕业生).
    -- Awarded by Zhejiang Provincial Government, 2022.
  • Zhejiang Provincial Government Scholarship (浙江省级政府奖学金).
    -- Awarded by Zhejiang Provincial Government, 2021.

Services:

  • Tutorial & Workshop Organizer: SciCap Challenge @ IJCAI 2024; Instruction Following Tutorial.

  • PC Member (Reviewer): ICLR (since 2024); ACL Rolling Review (since 2023); ACL (since 2023); EMNLP (since 2022); StarSEM (since 2023); Instruction Workshop @ NeurIPS 2023; UDM @ KDD 2023; ToM @ ICML 2023; AKBC 2022.

  • External Reviewer: EMNLP (since 2021); NLPCC 2023; CCL 2023; IJCAI 2021; JISF.

  • Teaching & Leadership: Co-Founder of CCAi, teaching undergruaduate students in doing AI research.

Contact:

  • Email: renze.lou (at) psu (dot) edu
  • Average Response Time: within 24 hours.