Elamur Research⌕
☰
home / authors / Kangrui Wang

Kangrui Wang

Kangrui Wang has 2 papers in our library, in 2023–2025, most of them on Language models & pretraining, Reasoning; often with Chenhao Tan, Fan Zhou, Hongyuan Mei.

2 papers in our library · 2023–2025

OpenAlex · h-index 8 · 33 works · 162 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 112 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #7653

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Northwestern UniversityEvanston · United States2025–2026 · 3 paperscurrent🎓Beijing Institute of TechnologyBeijing · China2015–2018 · 6 papers🔬Optics Valley LaboratoryWuhan · China2022–2024 · 5 papers🎓Huazhong University of Science and TechnologyWuhan · China2022–2024 · 4 papers🔬Wuhan National Laboratory for OptoelectronicsWuhan · China2022–2024 · 4 papers🎓Toyota Technological Institute at ChicagoChicago · United States2023–2024 · 2 papers🎓University of WarwickCoventry · United Kingdom2022–2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning (2025 · 71 citations)
    The paper asks how LLM agents can be trained with reinforcement learning to improve through their own experience in interactive settings.
  2. Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning (2023 · 44 citations)
    The paper asks whether large language models can help forecast real-world events in time-stamped sequences, such as political interactions between G20 entities, where each event carries text like a news headline.

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement LearningarXiv:2504.20073Zihan Wang, Kangrui Wang, Qineng Wang, et al.2025 · 71 citations
  2. Language Models Can Improve Event Prediction by Few-Shot Abductive ReasoningConference on Neural Information Processing Systems (NeurIPS)Xiaoming Shi, Siqiao Xue, Kangrui Wang, et al.2023 · 44 citations
  3. VAGEN: Reinforcing World Model Reasoning for Multi-Turn VLM Agents ↗neural information processing systems · no summary yetKangrui Wang et al.2025 · 12 citations
  4. MindCube: Spatial Mental Modeling from Limited Views ↗arXiv (Cornell University) · no summary yetWang, Qineng et al.2025 · 11 citations

 Co-authors here

12 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 112 times (of the 149,439 papers whose bibliographies we read); 33 citing papers with a page here →.

Updated

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/kangrui-wang/