🧑‍🔬 Ran Xu

🏛️ Affiliations

🏥Second Xiangya Hospital of Central South UniversityChangsha · China2006–2026 · 93 papersEducation 2009–2013 · doctor, urologyEmployment since 2006 · doctors, urologycurrent🎓Emory UniversityAtlanta · United States2022–2026 · 3 paperscurrent🎓University at Albany, State University of New YorkAlbany · United States2025–2026 · 2 paperscurrent🎓Central South UniversityChangsha · China2010–2025 · 61 papers🏥Xiangya Hospital Central South UniversityChangsha · China2010–2025 · 36 papers🎓Capital Medical UniversityBeijing · China2020–2025 · 13 papers🏥Xuan Wu Hospital of the Capital Medical UniversityBeijing · China2020–2025 · 12 papers🏢SalesforceSan Francisco · United States2021–2024 · 12 papers🎓Shandong UniversityJinan · China2017–2021 · 9 papers🎓University of ConnecticutStorrs · United States2020–2025 · 8 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 83 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM Alignment (2026 · 25 citations)
   Reward models for RLHF usually output a single score or a pairwise verdict. These signals miss the many dimensions of human preference, especially in subjective tasks where correctness cannot be checked automatically. Rubric-based rewards can help, but rubrics written by experts are costly, and rubrics produced by…
2. Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data Generation (2024 · 5 citations)
   Reward models used to align LLMs need preference data: a prompt, two candidate answers and a label saying which is better.

All works

6 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. BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents ↗arXiv:2308.05960 · no summary yetZhiwei Liu et al.2023 · 51 citations
2. UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild ↗arXiv (Cornell University) · no summary yetCan Qin et al.2023 · 36 citations
3. OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Tianci Liu, Ran Xu, Tony Yu, et al.2026 · 25 citations
4. Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data GenerationarXiv:2407.16008Jiaming Shen, Ran Xu, Yennie Jun, et al.2024 · 5 citations
5. ProVision: Programmatically Scaling Vision-centric Instruction Data for Multimodal Language Models ↗arXiv (Cornell University) · no summary yetJieyu Zhang et al.2024 · 4 citations
6. RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetRan Xu et al.2026

🤝 Co-authors here

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

• Carl Yang ×2
• Haoyu Wang
• Ilgee Hong
• Jiaming Shen
• Michael Bendersky
• Simon Baumgartner
• Tianqi Liu
• Tuo Zhao
• Zhen Qin

Venues

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

• Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
• Findings of the Association for Computational Linguistics: ACL 2026

🔗 Cited by

Papers of our library cite their works 87 times (of the 149,439 papers whose bibliographies we read); 18 citing papers with a page here →.

Updated 30 October 2026

↑ back to top

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