About me

My name is Renze Lou ( 楼仁泽 ), a second-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 interest focuses on Large Language Models, Instruction Tuning and Agent 🤖. I am actively looking for research collaborators. If you are interested, feel free to reach out via email 🤗.

Upcoming research internships @ Salesforce Research (Summer 2024).

See you in 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.
  • Feb. 2023: One paper accepted by ICASSP 2023. It was my first time supervising undergraduates through the whole project!
  • Oct. 2022: One paper accepted by EMNLP 2022.
  • Jun. 2022: Recieved Bachelor’s degree. Goodbye, ZUCC.


( * indicates equal contribution)

  1. Ryo Kamoi, Sarkar Snigdha Sarathi Das, Renze Lou, Wenpeng Yin, Rui Zhang, and et al. Evaluating LLMs at Detecting Errors in LLM Responses. arXiv Preprint 2024.
    [Paper]; [Code]
  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. arXiv Preprint 2024.
    [Paper]; [Website]
  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 (Spotlight).
    [Paper]; [Code]
  5. Lin Sun*, Kai Zhang*, Qingyuan Li*, Renze Lou. UMIE: Unified Multimodal Information Extraction with Instruction Tuning. In AAAI 2024 (Oral).
    [Paper]; [Code]
  6. Janice Ahn, RISHU VERMA, Renze Lou, Di Liu, Rui Zhang, Wenpeng Yin. Large Language Models for Mathematical Reasoning: Progresses and Challenges. In EACL 2024 Student Research Workshop.
  7. Renze Lou and Wenpeng Yin. Forget Demonstrations, Focus on Learning from Textual Instructions. In EACL 2024 Student Research Workshop.
    [Paper]; [Code]
  8. Renze Lou, Kai Zhang, Wenpeng Yin. Is Prompt All You Need? No. A Comprehensive and Broader View of Instruction Learning. arXiv Preprint 2023.
    [Paper]; [Paper List]
  9. Xiaojie Gu, Renze Lou, Lin Sun, Shangxin Li. PAGE: A Position-Aware Graph-Based Model for Emotion Cause Entailment in Conversation. In ICASSP 2023.
    [Paper]; [Code]
  10. Yuanhe Tian, Renze Lou, Xiangyu Pang, Lianxi Wang, Shengyi JIANG and Yan Song. Improving English-Arabic Transliteration with Phonemic Memories. In EMNLP-Findings 2022.
    [Paper]; [Data]
  11. Weicheng Ma, Renze Lou , Kai Zhang, Lili Wang and Soroush Vosoughi. GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks. In EMNLP 2021.
    [Paper]; [Code]
  12. 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 (Oral).
    [Paper]; [Code]
  13. 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]
  14. 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]

Research Experience:

  • Research Assistant @ Penn State University.
    -- Supervised by Prof. Wenpeng Yin. Aug. 2022 ~ Present.
  • 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.
  • Research Assistant @ Zhejiang University City College.
    -- Advised by Prof. Lin Sun and Kai Zhang (Ohio State University). Jul. 2020 ~ Mar. 2021.

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.


  • PC Member (Reviewer): 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.


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