---
title: "Yang Han — author profile and papers — Elamur Research"
description: "Yang Han, Chinese Academy of Sciences: 2 papers on Elamur Research (2023–2026), h-index 2 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/yang-han/"
---
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# Yang Han

Yang Han has 2 papers in our library, in 2023–2026, 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/); often with [Kai Yu](https://md.research.elamur.ai/free/en/authors/kai-yu/), [Lu Chen](https://md.research.elamur.ai/free/en/authors/lu-chen/), [Zihan Zhao](https://md.research.elamur.ai/free/en/authors/zihan-zhao/).

2 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5102749858) · [ORCID](https://orcid.org/0009-0002-0044-9337) · [**h-index 2**](https://openalex.org/authors/A5102749858) · [7 works](https://openalex.org/works?filter=author.id:A5102749858) · [106 citations](https://openalex.org/works?filter=author.id:A5102749858&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yang-han/#papers) · [🔗 Cited 57 times in our library](https://md.research.elamur.ai/free/en/authors/yang-han/cited-by/) · [⭐ Paper Stars ranking: #8074](https://md.research.elamur.ai/free/en/paper-stars/page/81/#star-8074)

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

## Affiliations

[🏛️**Chinese Academy of Sciences** Beijing · China 2023–2025 · 4 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Intelligent Machines** Hefei · China 2023–2025 · 3 papers*current*](https://ror.org/00w0qep84) · [🔬**Institute of Computing Technology** Beijing · China 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/labs/institute-of-computing-technology/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2022–2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-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 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 Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/yang-han/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/yang-han/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[SciEval: A Multi-Level Large Language Model Evaluation Benchmark for Scientific Research](https://md.research.elamur.ai/free/en/papers/sun-2023-scieval-multi-level-large-language/)** *(2023 · 91 citations)* Existing LLM benchmarks that touch on science mostly reuse fixed exam-style objective questions. Such questions may already appear in pre-training data, and they do not test open-ended reasoning. Many of these benchmarks also cover only one discipline. SciEval addresses these gaps with an English benchmark of roughly…
2. **[Do We Need Distinct Representations for Every Speech Token? Unveiling and Exploiting Redundancy in Large Speech Language Models](https://md.research.elamur.ai/free/en/papers/xiang-2026-do-we-need-distinct-representations/)** *(2026 · 2 citations)* Large Speech Language Models (LSLMs) turn audio into very long token streams, typically 12.5–25 tokens per second. These sequences are much longer than the meaning they carry, which makes inference expensive. The authors test whether every speech token really needs its own representation inside the LLM backbone.

## Co-authors here

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

- [Kai Yu](https://md.research.elamur.ai/free/en/authors/kai-yu/)
- [Lu Chen](https://md.research.elamur.ai/free/en/authors/lu-chen/)
- [Zihan Zhao](https://md.research.elamur.ai/free/en/authors/zihan-zhao/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [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/)
- [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/): [Proceedings of the AAAI Conference on Artificial Intelligence 2023](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/2023/)

## Cited by

Papers of our library cite their works 57 times (of the 149,439 papers whose bibliographies we read); [21 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yang-han/cited-by/).

Updated 2 November 2026
