Zhenrui Yue

About Me

Hello, this is Zhenrui Yue (岳真锐 in Chinese)! I am a 4th year Ph.D. candidate in Cognitive Science & Language Processing with Dr. Wang at University of Illinois Urbana-Champaign. Prior to that, I graduated with B.S. in Mechatronics and Information Technology and M.S. in Robotics, Cognition, Intelligence from Technische Universität München. I have broad research interests in natural language processing, recommender systems and information retrieval. My current focus lies in developing high-performance, efficient and robust large language models (LLMs) and vision-language models (VLMs), with an emphasis on domains such as intelligent agents, conversational systems and recommendation.

News

• [May. 2025] One paper on multimodal recommendation accepted to KDD 2025!
• [May. 2025] Just passed my PhD preliminary exam 🎉🎉
• [Mar. 2025] Check our recent efforts in integrating serach into reasoning LLMs: Search-R1!
• [Feb. 2025] I will join Meta GenAI to work on LLM post-training in summer 2025:)
• [Jan. 2025] Inference scaling for long-context RAG is accepted to ICLR with oral presentation 🎉
• [Nov. 2024] Just reached 500 citations on Google Scholar:)
• [Oct. 2024] Check out our paper on inference scaling for long-context RAG!
• [Sep. 2024] We have a findings paper at EMNLP 2024:)
• [Aug. 2024] Gave a talk at LinkedIn on LLM / LMM for efficient recommendation.
• [Jul. 2024] Gave a talk at UBER on efficient sequential recommendation & LRURec.
• [May. 2024] Two papers (1 main & 1 findings) accepted to ACL 2024, stay tuned for our preprint!

Experience

Google DeepMind Student Researcher

Mountain View, CA May 2024 - Dec 2024

NVIDIA Research Intern

Remote, IL May 2023 - Aug 2023

Selected Publications

• Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
  Bowen Jin, Hansi Zeng, Zhenrui Yue, Dong Wang, Hamed Zamani, Jiawei Han
  Preprint 2025 [Paper] [Code]

• Inference Scaling for Long-Context Retrieval Augmented Generation
  Zhenrui Yue*, Honglei Zhuang*, Aijun Bai, Kai Hui, Rolf Jagerman, Hansi Zeng, Zhen Qin, Dong Wang, Xuanhui Wang, Michael Bendersky
  ICLR 2025 (Oral) [Paper]

• Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments
  Zhenrui Yue, Huimin Zeng, Lanyu Shang, Yifan Liu, Yang Zhang, Dong Wang
  ACL 2024 [Paper] [Code]

• Linear Recurrent Units for Sequential Recommendation
  Zhenrui Yue*, Yueqi Wang*, Zhankui He, Huimin Zeng, Julian McAuley, Dong Wang
  WSDM 2024 [Paper] [Code]

• LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking
  Zhenrui Yue, Sara Rabhi, Gabriel Moreira, Dong Wang, Even Oldridge
  PGAI@CIKM 2023 [Paper] [Code]

• MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning
  Zhenrui Yue, Huimin Zeng, Yang Zhang, Lanyu Shang, Dong Wang
  ACL 2023 (Oral) [Paper] [Code]

• Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders
  Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang
  RecSys 2022 [Paper] [Code]

• Contrastive Domain Adaptation for Question Answering using Limited Text Corpora
  Zhenrui Yue, Bernhard Kratzwald, Stefan Feuerriegel
  EMNLP 2021 (Oral) [Paper] [Code]

 Full publication list can be found on my google scholar.

Miscellaneous

 SPC / AC: ARR (ACL, EMNLP, NAACL, etc.).

 Reviewer: AAAI, ARR (ACL, EMNLP, NAACL, etc.), COLING, COLM, ICCV, ICLR, KDD, SIGIR, WWW, etc.

 Teaching: Discrete Math, Intro to Database, Machine Learning, Computer Networks.

 Languages: Chinese, Cantonese, English, German and a bit Spanish.

 More will be added when I have time :)

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