Kepu Zhang

Kepu Zhang

M.S. Student At RUC

Kupu Zhang

He is currently a master student at Gaoling School of Artificial Intelligence, Renmin University of China. He is working in IIR lab. His supervisors are AP. Xiao Zhang and Prof. Jun Xu. His major research interests are about LLM for Search, LLM Application etc.

🎯 Job seeking now ｜ Class of 2026 Graduate ｜ LLM for Search, AI Search, LLM Reasoning and Application, Deep Research etc

📬 Welcome to connect (kepuzhang -AT- ruc.edu.cn)

Education

  • 09.2023-present Master’s candidate, Gaoling School of Artificial Intelligence, Renmin University of China.
  • 09.2019-06.2023 Bachelor of Computer Science and Technology, Beijing Jiaotong University.

Work Experience

  • Kuaishou: Research Intern
    • October 2023 ~ December 2024
    • Research Directions: Search and Recommendation
    • Producing three first-author papers and one patent.
  • Tencent WeChat: Algorithm Intern
    • March 2025 ~ Now
    • Directions: LLM for Search, AI Search, Deep Research
    • Leveraging 100~1000 GPUs, RL algorithm to train large-scale relevance models and AI search generative models.

Publications

  • [LLM for Search] “Trigger3: Refining Query Correction via Adaptive Model Selector.” First author, AAAI’25, CCF A
  • [LLM Citation, RAG Credibility] “CitaLaw: Enhancing LLM with Citations in Legal Domain.” First author, ACL’25, CCF A
  • [Personalized Alignment] “SAQRec: Aligning Recommender Systems to User Satisfaction via Questionnaire Feedback.” First author, CIKM’24, CCF B
  • [Personalized Alignment] “Enhancing Explicit Reasoning for Personalized RAG through Contrastive Reward Learning.” First author, CIKM’25, Under Review
  • [LLM RAG Reasoning] “An Explicit Syllogistic Legal Reasoning Framework for Large Language Models.” First author, CIKM’25, Under Review
  • [LLM Reasoning] “Legal Mathematical Reasoning with LLMs: Procedural Alignment through Two-Stage Reinforcement Learning.” First author, EMNLP’25, Under Review
  • [LLM Reasoning] “Beyond Guilt: Legal Judgment Prediction with Trichotomous Reasoning.” First author, EMNLP’25, Under Review
  • [RAG robustness] “QE-RAG: A Robust Retrieval-Augmented Generation Benchmark for Query Entry Errors.” First author, EMNLP’25, Under Review
  • [LLM ICL] “Effective In-Context Example Selection through Data Compression.” Co-first author, ACL 2024 short findings, CCF A
  • [Retrieval] “Logic Rules as Explanations for Legal Case Retrieval.” Second author, COLING 2024, CCF B
  • [Object Detection] “Does thermal really always matter for RGB-T salient object detection?” Stu-first author, TMM 2023, CCF B, When I was an undergrad.

Teaching

  1. Teaching Assistant, Introduction to Big Data Analytics in RUC, Fall 2024.
  2. Teaching Assistant, Introduction to Artificial Intelligence in New Liberal Arts in RUC, Spring 2025.

Skills

Possess experience in large-scale LLM training.

  • LLM Training: Megatron, DeepSpeed, Ray, VeRL, vLLM, SGLang
  • Others: C, C++, Python, Pytorch, TRL, Spark, MapReduce, Hadoop