---
title: "Ziyi Ye · Fudan University — author profile and papers"
description: "Ziyi Ye, Fudan University: 2 papers on Elamur Research (2024–2026), h-index 2 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/ziyi-ye/"
---
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# Ziyi Ye

Ziyi Ye has 2 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Haitao Li](https://md.research.elamur.ai/free/en/authors/haitao-li/), [Junjie Chen](https://md.research.elamur.ai/free/en/authors/junjie-chen/), [Piji Li](https://md.research.elamur.ai/free/en/authors/piji-li/).

2 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5102817024) · [ORCID](https://orcid.org/0009-0000-9830-3947) · [**h-index 2**](https://openalex.org/authors/A5102817024) · [4 works](https://openalex.org/works?filter=author.id:A5102817024) · [14 citations](https://openalex.org/works?filter=author.id:A5102817024&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/ziyi-ye/#papers) · [🔗 Cited 157 times in our library](https://md.research.elamur.ai/free/en/authors/ziyi-ye/cited-by/) · [⭐ Paper Stars ranking: #6498](https://md.research.elamur.ai/free/en/paper-stars/page/65/#star-6498)

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

## Affiliations

[🎓**Fudan University** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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.

📚 Shelves 7 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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Cognitive Neuroscience · 1 work](https://md.research.elamur.ai/free/en/shelves/neuroscience/cognitive-neuroscience/) · [Neuroscience · 1 work](https://md.research.elamur.ai/free/en/shelves/neuroscience/)

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

## Papers

The most cited first (OpenAlex and our library).

1. **[LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods](https://md.research.elamur.ai/free/en/papers/li-2024-llms-judges-comprehensive-survey-llm/)** *(2024 · 195 citations)* Open-ended LLM output is hard to evaluate. N-gram metrics such as BLEU and ROUGE miss qualities like fluency, coherence and creativity. Human annotation captures them but is slow and costly at scale. This survey by Li et al. reviews the growing practice of using LLMs themselves as evaluators, called "LLMs-as-judges."
2. **[Language Reconstruction with Brain Predictive Coding from fMRI Data](https://md.research.elamur.ai/free/en/papers/yin-2026-language-reconstruction-brain-predictive-coding/)** *(2026 · 2 citations)* This work asks whether the brain's habit of anticipating upcoming words can improve the decoding of continuous language from fMRI recordings.

## Co-authors here

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

- [Haitao Li](https://md.research.elamur.ai/free/en/authors/haitao-li/)
- [Junjie Chen](https://md.research.elamur.ai/free/en/authors/junjie-chen/)
- [Piji Li](https://md.research.elamur.ai/free/en/authors/piji-li/)
- [Qian Dong](https://md.research.elamur.ai/free/en/authors/qian-dong/)
- [Qingyao Ai](https://md.research.elamur.ai/free/en/authors/qingyao-ai/)
- [Yiqun Liu](https://md.research.elamur.ai/free/en/authors/yiqun-liu/)
- [Yujia Zhou](https://md.research.elamur.ai/free/en/authors/yujia-zhou/)

## 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/)

## Cited by

Papers of our library cite their works 157 times (of the 149,439 papers whose bibliographies we read); [49 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ziyi-ye/cited-by/).

Updated 1 November 2026
