---
title: "Rui Ling · Peking University — author profile and papers"
description: "Rui Ling, Peking University: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/rui-ling/"
---
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# Rui Ling

Rui Ling has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/); often with [Feiyu Xiong](https://md.research.elamur.ai/free/en/authors/feiyu-xiong/), [Hao Wang](https://md.research.elamur.ai/free/en/authors/hao-wang/), [Sizhe Wang](https://md.research.elamur.ai/free/en/authors/sizhe-wang/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5120055810) · [**h-index 1**](https://openalex.org/authors/A5120055810) · [4 works](https://openalex.org/works?filter=author.id:A5120055810) · [1 citations](https://openalex.org/works?filter=author.id:A5120055810&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/rui-ling/#papers) · 🔗 Cited 2 times in our library · [⭐ Paper Stars ranking: #10986](https://md.research.elamur.ai/free/en/paper-stars/page/110/#star-10986)

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=Rui+Ling) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Rui+Ling) · [dblp](https://dblp.org/search?q=Rui+Ling) · [ACL Anthology](https://aclanthology.org/search/?q=Rui+Ling)

## Affiliations

[🎓**Peking University** Beijing · China 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🏢**Tencent** Shenzhen · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/tencent/)

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 6 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 Science Applications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/rui-ling/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[When More Thinking Hurts: Overthinking in LLM Test-Time Compute Scaling](https://md.research.elamur.ai/free/en/papers/zhou-2026-when-more-thinking-hurts-overthinking/)** *(2026 · 2 citations)* Test-time scaling research usually assumes that longer reasoning always gives better answers. This paper tests that assumption directly. It measures how much each extra 500 reasoning tokens adds to accuracy. Two open-weight 32B models, DeepSeek-R1-32B and s1-32B, are run under budget forcing at 32 budgets from 500 to…
2. **[CodeFlowBench: A Multi-turn, Iterative Benchmark for Complex Code Generation](https://md.research.elamur.ai/free/en/papers/wang-2026-codeflowbench-multi-turn-iterative-benchmark/)** *(2026 · 1 citation)* Most code-generation benchmarks test LLMs in a single turn, but real software is built step by step from modular functions that reuse earlier ones. The authors call this incremental, reuse-driven process "codeflow" and present CodeFlowBench as the first benchmark for evaluating it.

## Co-authors here

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

- [Feiyu Xiong](https://md.research.elamur.ai/free/en/authors/feiyu-xiong/)
- [Hao Wang](https://md.research.elamur.ai/free/en/authors/hao-wang/)
- [Sizhe Wang](https://md.research.elamur.ai/free/en/authors/sizhe-wang/)
- [Tao Fan](https://md.research.elamur.ai/free/en/authors/tao-fan/)
- [Wentao Zhang](https://md.research.elamur.ai/free/en/authors/wentao-zhang/)
- [Xin Wang](https://md.research.elamur.ai/free/en/authors/xin-wang/)
- [Zhengren Wang](https://md.research.elamur.ai/free/en/authors/zhengren-wang/)
- [Zhiyu li](https://md.research.elamur.ai/free/en/authors/zhiyu-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/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

## Cited by

Papers of our library cite their works 2 times (of the 149,439 papers whose bibliographies we read).

Updated 1 November 2026
