---
title: "Jiacheng Yao — author profile and papers — Elamur Research"
description: "Jiacheng Yao, East China Normal University: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/jiacheng-yao/"
---
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# Jiacheng Yao

Jiacheng Yao 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/); often with [Chenyang Gu](https://md.research.elamur.ai/free/en/authors/chenyang-gu/), [Guoxiu He](https://md.research.elamur.ai/free/en/authors/guoxiu-he/), [Jinquan Zheng](https://md.research.elamur.ai/free/en/authors/jinquan-zheng/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5121835001) · [**h-index 0**](https://openalex.org/authors/A5121835001) · [10 works](https://openalex.org/works?filter=author.id:A5121835001) · [0 citations](https://openalex.org/works?filter=author.id:A5121835001&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jiacheng-yao/#papers) · [⭐ Paper Stars ranking: #13637](https://md.research.elamur.ai/free/en/paper-stars/page/137/#star-13637)

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

## Affiliations

[🎓**East China Normal University** Shanghai · China 2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/east-china-normal-university/) · [🎓**Southeast University** Nanjing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/southeast-university-cn/)

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).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

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

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[From Isolated Scoring to Collaborative Ranking: A Comparison-Native Framework for LLM-Based Paper Evaluation](https://md.research.elamur.ai/free/en/papers/zheng-2026-isolated-scoring-collaborative-ranking-comparison/)** *(2026)* LLM-based paper assessment usually gives each manuscript an absolute score on its own. Because rating scales differ between venues, years and review criteria, models trained this way tend to learn venue-specific conventions rather than general judgment of quality. The authors propose CNPE, a framework that treats…
2. **[Mitigating Selection Bias in Large Language Models via Permutation-Aware GRPO](https://md.research.elamur.ai/free/en/papers/zheng-2026-mitigating-selection-bias-large-language/)** *(2026)* LLMs that answer multiple-choice questions or act as pairwise judges often show selection bias. Their choice shifts when only option order (position bias) or option identifiers such as "A" (label bias) change, while the content stays the same. Calibration at inference time adds cost and does not fix the model's…

## Co-authors here

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

- [Chenyang Gu](https://md.research.elamur.ai/free/en/authors/chenyang-gu/) ×2
- [Guoxiu He](https://md.research.elamur.ai/free/en/authors/guoxiu-he/) ×2
- [Jinquan Zheng](https://md.research.elamur.ai/free/en/authors/jinquan-zheng/) ×2
- [Pujun Zheng](https://md.research.elamur.ai/free/en/authors/pujun-zheng/) ×2
- [Jiawei Liu](https://md.research.elamur.ai/free/en/authors/jiawei-liu/)
- [Wei Lu](https://md.research.elamur.ai/free/en/authors/wei-lu/)

## 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/)

Updated 2 November 2026
