---
title: "Hongyu Li — author profile and papers — Elamur Research"
description: "Hongyu Li, Taiyuan University of Technology: 4 papers on Elamur Research (2020–2026), h-index 28 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/hongyu-li/"
---
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# Hongyu Li

Hongyu Li has 4 papers in our library, in 2020–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/); often with [Haifeng Wang](https://md.research.elamur.ai/free/en/authors/haifeng-wang/), [Hua Ren Wu](https://md.research.elamur.ai/free/en/authors/hua-ren-wu/), [Jing Liu](https://md.research.elamur.ai/free/en/authors/jing-liu/).

4 papers in our library · 2020–2026

[OpenAlex](https://openalex.org/A5100402304) · [ORCID](https://orcid.org/0000-0002-6518-9866) · [Wikidata](https://www.wikidata.org/wiki/Q57467724) · [**h-index 28**](https://openalex.org/authors/A5100402304) · [132 works](https://openalex.org/works?filter=author.id:A5100402304) · [4,174 citations](https://openalex.org/works?filter=author.id:A5100402304&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/hongyu-li/#papers) · [🔗 Cited 29 times in our library](https://md.research.elamur.ai/free/en/authors/hongyu-li/cited-by/) · [⭐ Paper Stars ranking: #9279](https://md.research.elamur.ai/free/en/paper-stars/page/93/#star-9279)

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

## Affiliations

[🎓**Taiyuan University of Technology** Taiyuan · China 2026 · 1 paper*current*](https://ror.org/03kv08d37) · [🏛️**Chinese Academy of Sciences** Beijing · China 2000–2024 · 41 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2013–2024 · 19 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🔬**National Astronomical Observatories** Beijing · China 2015–2022 · 16 papers](https://ror.org/058pyyv44) · [🎓**University of Huddersfield** Huddersfield · United Kingdom 2017–2025 · 12 papers](https://ror.org/05t1h8f27) · [🎓**University of Science and Technology of China** Hefei · China 2014–2025 · 7 papers](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🔬**Shenzhen Institutes of Advanced Technology** Shenzhen · China 2020–2023 · 7 papers](https://md.research.elamur.ai/free/en/labs/shenzhen-institutes-of-advanced-technology/) · [🎓**Peking University** Beijing · China 1990–2025 · 6 papers](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🏢**Baidu** Beijing · China 2019–2022 · 6 papers](https://md.research.elamur.ai/free/en/companies/baidu/) · [🔬**Sci-Tech Daresbury** Daresbury · United Kingdom 2019–2025 · 5 papers](https://ror.org/015ff4823)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 41 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 · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 5 Research subjects and languages the work is about.[Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Text generation · 1 work](https://md.research.elamur.ai/free/en/topics/text-generation/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Inverted index · 1 work](https://md.research.elamur.ai/free/en/concepts/inverted-index/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/hongyu-li/year/2026/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/hongyu-li/year/2022/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/hongyu-li/year/2020/)

## Papers

The most cited first (OpenAlex and our library).

1. **[DuReader_retrieval: A Large-scale Chinese Benchmark for Passage Retrieval from Web Search Engine](https://md.research.elamur.ai/free/en/papers/qiu-2022-dureader-retrieval-large-scale/)** *(2022 · 27 citations)* Dense passage retrieval depends on large, human-annotated training and evaluation data. Such resources are plentiful for English but scarce for Chinese, where existing sets are tiny (TianGong-PDR), machine-translated (mMARCO), or built only from click logs (Sougou-QCL). The authors present DuReader_retrieval, a…
2. **[DuReader_robust: A Chinese Dataset Towards Evaluating Robustness and Generalization of Machine Reading Comprehension in Real-World Applications](https://md.research.elamur.ai/free/en/papers/tang-2020-dureader-robust-chinese-dataset/)** *(2020 · 13 citations)* Neural machine reading comprehension (MRC) models often fail in real-world use. They may answer paraphrased questions inconsistently (over-sensitivity), get distracted by passage spans that share many words with the question (over-stability), or struggle outside their training domain (generalization). Earlier…
3. **[SRCB at SemEval-2026 Task 5 A Multi-Target Finetuning Framework for Large Language Models with Joint Regression and Text Generation](https://md.research.elamur.ai/free/en/papers/zhang-2026-srcb-semeval-2026-task-5/)** *(2026 · 1 citation)* The paper describes the first-ranked system for SemEval-2026 Task 5. In this task, models do not pick one correct sense of a homonym. They instead predict how plausible humans find a given sense in a short story, on a 1–5 scale. Evaluation uses Spearman correlation together with an accuracy measure that counts a…
4. **[PACE: Predictive Adaptive Context Extraction for Long-Horizon LLM Agents](https://md.research.elamur.ai/free/en/papers/wei-2026-pace-predictive-adaptive-context-extraction/)** *(2026)* LLM agents working on tasks with hundreds or thousands of steps hit a trade-off. Keeping the whole history fills the context window and forces blunt truncation. Summarizing at every step loses details too early. PACE (Lei Wei et al., Alibaba / Peking University, ACL 2026) treats context construction as a Next Step…

## Co-authors here

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

- [Haifeng Wang](https://md.research.elamur.ai/free/en/authors/haifeng-wang/) ×2
- [Hua Ren Wu](https://md.research.elamur.ai/free/en/authors/hua-ren-wu/) ×2
- [Jing Liu](https://md.research.elamur.ai/free/en/authors/jing-liu/) ×2
- [Bin Dong](https://md.research.elamur.ai/free/en/authors/bin-dong/)
- [Bin Wang](https://md.research.elamur.ai/free/en/authors/bin-wang/)
- [Qiaoqiao She](https://md.research.elamur.ai/free/en/authors/qiaoqiao-she/)
- [Shanshan Jiang](https://md.research.elamur.ai/free/en/authors/shanshan-jiang/)
- [Yifu Qiu](https://md.research.elamur.ai/free/en/authors/yifu-qiu/)
- [Ying Chen](https://md.research.elamur.ai/free/en/authors/ying-chen/)
- [Yingqi Qu](https://md.research.elamur.ai/free/en/authors/yingqi-qu/)
- [Yu Hong](https://md.research.elamur.ai/free/en/authors/yu-hong/)

## 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/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2022](https://md.research.elamur.ai/free/en/venues/emnlp/2022/)
- [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/): [SemEval 2026](https://md.research.elamur.ai/free/en/venues/semeval/2026/)

## Cited by

Papers of our library cite their works 29 times (of the 149,439 papers whose bibliographies we read); [11 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/hongyu-li/cited-by/).

Updated 1 November 2026
