---
title: "Chengyuan Yao · StepFun AI — author profile and papers"
description: "Chengyuan Yao, StepFun AI: 4 papers on Elamur Research (2025–2026), h-index 1 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/chengyuan-yao/"
---
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# Chengyuan Yao

Chengyuan Yao has 4 papers in our library, in 2025–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Fanqi Wan](https://md.research.elamur.ai/free/en/authors/fanqi-wan/), [Hangyu Guo](https://md.research.elamur.ai/free/en/authors/hangyu-guo/), [Jingcheng Hu](https://md.research.elamur.ai/free/en/authors/jingcheng-hu/).

4 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5027353869) · [**h-index 1**](https://openalex.org/authors/A5027353869) · [15 works](https://openalex.org/works?filter=author.id:A5027353869) · [16 citations](https://openalex.org/works?filter=author.id:A5027353869&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/chengyuan-yao/#papers) · [🔗 Cited 10 times in our library](https://md.research.elamur.ai/free/en/authors/chengyuan-yao/cited-by/) · [⭐ Paper Stars ranking: #11108](https://md.research.elamur.ai/free/en/paper-stars/page/112/#star-11108)

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

## Affiliations

[🏢**StepFun AI** Shanghai · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/companies/stepfun-ai/)

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 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/)

🧭 Topics 4 Research subjects and languages the work is about.[Reasoning · 4 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/chengyuan-yao/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/chengyuan-yao/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated Reasoning](https://md.research.elamur.ai/free/en/papers/hu-2026-pacore-learning-scale-test-time/)** *(2026 · 5 citations)* Language models that reason step by step in a single chain hit a hard limit: once the context window is full, reasoning must stop.
2. **[Step-Audio-R1 Technical Report](https://md.research.elamur.ai/free/en/papers/tian-2025-step-audio-r1-technical/)** *(2025 · 3 citations)* Audio language models usually perform worse when they reason at length, which runs against the test-time compute scaling seen in text and vision models.
3. **[STEP3-VL-10B Technical Report](https://md.research.elamur.ai/free/en/papers/huang-2026-step3-vl-10b-technical/)** *(2026 · 2 citations)* Compact multimodal models (around 10B parameters or fewer) are usually efficient but weaker at difficult perception and reasoning.
4. **[PRIME: A Process-Outcome Alignment Benchmark for Verifiable Reasoning in Mathematics and Engineering](https://md.research.elamur.ai/free/en/papers/wang-2026-prime-process-outcome-alignment-benchmark/)** *(2026)* RLVR (reinforcement learning with verifiable rewards) relies on verifiers that usually check only whether a model's final answer matches the reference.

## Co-authors here

12 of 20 co-authors with a page, the most papers together first.

- [Fanqi Wan](https://md.research.elamur.ai/free/en/authors/fanqi-wan/) ×2
- [Hangyu Guo](https://md.research.elamur.ai/free/en/authors/hangyu-guo/) ×2
- [Jingcheng Hu](https://md.research.elamur.ai/free/en/authors/jingcheng-hu/) ×2
- [Liang Zhao](https://md.research.elamur.ai/free/en/authors/liang-zhao/) ×2
- [Yinmin Zhang](https://md.research.elamur.ai/free/en/authors/yinmin-zhang/) ×2
- [Ailin Huang](https://md.research.elamur.ai/free/en/authors/ailin-huang/)
- [Chunrui Han](https://md.research.elamur.ai/free/en/authors/chunrui-han/)
- [Donghang Wu](https://md.research.elamur.ai/free/en/authors/donghang-wu/)
- [Fei Tian](https://md.research.elamur.ai/free/en/authors/fei-tian/)
- [Haoyang Zhang](https://md.research.elamur.ai/free/en/authors/haoyang-zhang/)
- [Hexin Liu](https://md.research.elamur.ai/free/en/authors/hexin-liu/)
- [Jun Chen](https://md.research.elamur.ai/free/en/authors/jun-chen/)

## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2

## Cited by

Papers of our library cite their works 10 times (of the 149,439 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/chengyuan-yao/cited-by/).

Updated 1 November 2026
