Hi, I am a Master majoring in Computer Science and Technology. I work at Information Retrieval Laboratory of Shandong University, supervised by Zhaochun Ren and Pengjie Ren. Previously, I was also supervised by Shen Gao. Besides, I am fortunate to closely work with Dr. Shuo Zhang in Bloomberg and receive his supervision.

I obtain my Bachelor's degree in Shandong University majoring in Computer Science and Technology (graduated in 2023), supervised by Zhaochun Ren

📖 My current research interests primarily focus on:

• Retrieval-augmented generation: enhancing models with factual knowledge from diverse sources of information and reduce their hallucination.
• LLM-based agent: building a real-world agent based on the foundation model to solve complex and practical tasks.

🔎 Feel free to contact with me for any form of collaboration.

➡️ More details about me: CV and transcript (GPA: 93.46/100, Rank: 2/182)

📚 Publications (selected)

* indicates equal contribution

• 🔍 Retrieval Models Aren’t Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models
  - Zhengliang Shi, Yuhan Wang, Lingyong Yan, Pengjie Ren, Shuaiqiang Wang, Dawei Yin, Zhaochun Ren
• Tool Learning in the Wild: Empowering Language Models as Automatic Tool Agents
  - Zhengliang Shi, Shen Gao, Lingyong Yan, Yue Feng, Xiuyi Chen, Zhumin Chen, Dawei Yin, Suzan Verberne, Zhaochun Ren; Accepted by WWW 2025
• Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering
  - Zhengliang Shi, Shuo Zhang, Weiwei Sun, Shen Gao, Pengjie Ren, Zhumin Chen, Zhaochun Ren; Accepted by ACL 2024
• Learning to Use Tools via Cooperative and Interactive Agents
  - Zhengliang Shi, Shen Gao, Xiuyi Chen, Yue Feng, Lingyong Yan, Haibo Shi, Dawei Yin, Pengjie Ren, Suzan Verberne, Zhaochun Ren; Accepted by ACL 2023
• Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum
  - Shen Gao*, Zhengliang Shi*, Minghang Zhu, Bowen Fang, Xin Xin, Pengjie Ren, Zhumin Chen, Jun Ma; Accepted by AAAI 2024
• Contrastive Learning Reduces Hallucination in Conversations
  - Weiwei Sun, Zhengliang Shi, Shen Gao, Pengjie Ren, Maarten de Rijke, Zhaochun Ren; Accepted by AAAI 2023

🎊 Honors (Selected)

• 2023 Excellent Graduate, Shandong University, China
• 2022 Dean’s Scholarship, Shandong University, Department of Computer Science
• 2022 Presidential Scholarship, Shandong University, China
• 2021 National Scholarship, Ministry of Education, China
• 2021, 2022, 2023 Academic Scholarship, Shandong University, China

🎊 Awards (Selected)

• 2022 Third Prize of World Artificial Intelligence Challenge Competition (WAIC)
• 2021,2022 Second Prize of the American Mathematical Modeling Competition
• 2021 First Prize of National Mathematical Modeling Competition
• 2021 First Prize of the National College Students' Innovation and Entrepreneurship Competition

💬 Invited Talks

• 2025.03, Not Just Generation: Incentivizing Language Models to Reason and Search, Search Engine Amsterdam, Amsterdam, Netherlands
• 2023.05, Towards a More Reliable Evaluation for Open-Domain Dialogue system, Paper Reporting for ACL-IJCAL-SIGIR (AIS) 2023 Conference, Changsha, China.

📖 Educations

• 2023.09 - 2026.06, Master, Computer Science and Technology, Shandong University.
• 2019.09 - 2023.06, Undergraduate, Computer Science and Technology, Shandong University.

💻 Experience

• 2025.3 - 2025.4 , Visiting scholar, Leiden University , Leiden, Netherlands.
• 2023.5 - 2025.3 , Researcher, Baidu, Search Science Team , Beijing, China.
• 2021.9 - 2023.5 , Research Assistant, Shandong University IRlab , Qingdao, China.

📌 Services

• 2025 Area Chair for ACL Rolling Review; Program Committee for SIGIR and TheWebConf (WWW); Review for IPM (CCF-B journal) and ECIR
• 2024 Reviewer for IJCAL, AAAI, ACL, EMNLP, NAACL, IPM