---
title: "Run Luo — author profile and papers · Question answering"
description: "Run Luo, Chinese Academy of Sciences: 2 papers on Elamur Research (2024–2026), h-index 4 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/run-luo/"
---
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# Run Luo

Run Luo has 2 papers in our library, in 2024–2026, most of them on [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/); often with [Minzheng Wang](https://md.research.elamur.ai/free/en/authors/minzheng-wang/), [Nan Xu](https://md.research.elamur.ai/free/en/authors/nan-xu/), [Bingli Wu](https://md.research.elamur.ai/free/en/authors/bingli-wu/).

2 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5101389091) · [**h-index 4**](https://openalex.org/authors/A5101389091) · [19 works](https://openalex.org/works?filter=author.id:A5101389091) · [42 citations](https://openalex.org/works?filter=author.id:A5101389091&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/run-luo/#papers) · [🔗 Cited 58 times in our library](https://md.research.elamur.ai/free/en/authors/run-luo/cited-by/) · [⭐ Paper Stars ranking: #7292](https://md.research.elamur.ai/free/en/paper-stars/page/73/#star-7292)

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Run+Luo) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Run+Luo) · [dblp](https://dblp.org/search?q=Run+Luo) · [ACL Anthology](https://aclanthology.org/search/?q=Run+Luo)

## Affiliations

[🏛️**Chinese Academy of Sciences** Beijing · China 2024–2026 · 12 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Shenzhen Institutes of Advanced Technology** Shenzhen · China 2024–2026 · 11 papers*current*](https://md.research.elamur.ai/free/en/labs/shenzhen-institutes-of-advanced-technology/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2024–2026 · 11 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/)

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

## Fields, topics and concepts

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

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 1 Research subjects and languages the work is about.[Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/run-luo/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/run-luo/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA](https://md.research.elamur.ai/free/en/papers/wang-2024-leave-no-document-behind-benchmarking/)** *(2024 · 72 citations)* Most current long-context benchmarks make inputs longer by padding them with unrelated filler text. In those setups, the evidence for an answer usually sits in one place, so a model can skip most of the input and still answer correctly. Wang et al. address this with Loong, a multi-document QA benchmark where every…
2. **[Breaking the Impasse: Dual-Scale Evolutionary Policy Training for Social Language Agents](https://md.research.elamur.ai/free/en/papers/wang-2026-breaking-impasse-dual-scale-evolutionary/)** *(2026)* The paper looks at what goes wrong when self-play reinforcement learning with verifiable rewards (RLVR) moves from closed tasks like math or code to open-ended social language games.

## Co-authors here

12 of 13 co-authors with a page, the most papers together first.

- [Minzheng Wang](https://md.research.elamur.ai/free/en/authors/minzheng-wang/) ×2
- [Nan Xu](https://md.research.elamur.ai/free/en/authors/nan-xu/) ×2
- [Bingli Wu](https://md.research.elamur.ai/free/en/authors/bingli-wu/)
- [Haiyang Yu](https://md.research.elamur.ai/free/en/authors/haiyang-yu/)
- [Lei Zhang](https://md.research.elamur.ai/free/en/authors/lei-zhang/)
- [Lu Wang](https://md.research.elamur.ai/free/en/authors/lu-wang/)
- [Min Yang](https://md.research.elamur.ai/free/en/authors/min-yang/)
- [Shengyi Liao](https://md.research.elamur.ai/free/en/authors/shengyi-liao/)
- [Wenji Mao](https://md.research.elamur.ai/free/en/authors/wenji-mao/)
- [Xinghua Zhang](https://md.research.elamur.ai/free/en/authors/xinghua-zhang/)
- [Yanbo Wang](https://md.research.elamur.ai/free/en/authors/yanbo-wang/)
- [Yunshui Li](https://md.research.elamur.ai/free/en/authors/yunshui-li/)

## 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)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)

## Cited by

Papers of our library cite their works 58 times (of the 149,439 papers whose bibliographies we read); [14 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/run-luo/cited-by/).

Updated 1 November 2026
