---
title: "Tong Yu · Anhui Jianzhu University — author profile and papers"
description: "Tong Yu, Anhui Jianzhu University: 7 papers on Elamur Research (2023–2026), h-index 17 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/tong-yu/"
---
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# Tong Yu

Tong Yu has 7 papers in our library, in 2023–2026, 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/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Yu Xia](https://md.research.elamur.ai/free/en/authors/yu-xia/), [Julian McAuley](https://md.research.elamur.ai/free/en/authors/julian-mcauley/), [Franck Dernoncourt](https://md.research.elamur.ai/free/en/authors/franck-dernoncourt/).

7 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5100767817) · [ORCID](https://orcid.org/0000-0002-5991-2050) · [Wikidata](https://www.wikidata.org/wiki/Q130824032) · [**h-index 17**](https://openalex.org/authors/A5100767817) · [149 works](https://openalex.org/works?filter=author.id:A5100767817) · [1,773 citations](https://openalex.org/works?filter=author.id:A5100767817&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 7 works in our library](https://md.research.elamur.ai/free/en/authors/tong-yu/#papers) · [🔗 Cited 490 times in our library](https://md.research.elamur.ai/free/en/authors/tong-yu/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #2245](https://md.research.elamur.ai/free/en/paper-stars/page/23/#star-2245)

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

## Affiliations

[🏢**Adobe Systems** San Jose · United States 2021–2026 · 63 papers*current*](https://md.research.elamur.ai/free/en/companies/adobe-systems/) · [🎓**Anhui Jianzhu University** Hefei · China 2023–2026 · 2 papers*current*](https://ror.org/0108wjw08) · [🎓**Carnegie Mellon University** Pittsburgh · United States 2016–2023 · 15 papers](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**Norwegian University of Science and Technology** Trondheim · Norway 2022–2024 · 5 papers](https://md.research.elamur.ai/free/en/universities/norwegian-university-of-science-and-technology/) · [🎓**Hunan Police Academy** Changsha · China 2008–2017 · 3 papers](https://ror.org/02gh10772) · [🎓**PLA Information Engineering University** Zhengzhou · China 2023–2025 · 2 papers](https://ror.org/00mm1qk40) · [🏢**Samsung** Seoul · South Korea 2020 · 2 papers](https://md.research.elamur.ai/free/en/companies/samsung-south-korea/) · [🎓**National Taiwan University** Taipei · Taiwan 2013–2015 · 2 papers](https://md.research.elamur.ai/free/en/universities/national-taiwan-university/) · [🎓**Nanjing University** Nanjing · China 2011–2012 · 2 papers](https://md.research.elamur.ai/free/en/universities/nanjing-university/) · [🎓**Zhejiang University** Hangzhou · China 2008–2009 · 2 papers](https://md.research.elamur.ai/free/en/universities/zhejiang-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 20 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 11 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 7 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 7 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Management Science and Operations Research · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/) · [Software · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/software/)

🧭 Topics 6 Research subjects and languages the work is about.[Language models & pretraining · 4 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/)

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

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/tong-yu/year/2026/) · [**2025** 4 papers](https://md.research.elamur.ai/free/en/authors/tong-yu/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/tong-yu/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Bias and Fairness in Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/gallegos-2023-bias-fairness-large-language-models/)** *(2023 · 1,082 citations)* Large language models learn from enormous, mostly uncurated web text. Along the way they absorb social biases and can even amplify them: stereotypes, toxic or exclusionary wording, and weak handling of some dialects. These harms fall hardest on groups that are already marginalized. This survey, accepted at…
2. **[From Selection to Generation: A Survey of LLM-based Active Learning](https://md.research.elamur.ai/free/en/papers/xia-2025-selection-generation-survey-llm-based/)** *(2025 · 22 citations)* Active learning (AL) traditionally lowers labeling effort by picking the most useful unlabeled examples with metrics such as uncertainty or diversity.
3. **[Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs](https://md.research.elamur.ai/free/en/papers/xia-2025-beyond-chain-thought-survey-chain/)** *(2025 · 19 citations)* Chain-of-Thought (CoT) prompting showed that LLMs reason better when they write out intermediate steps before giving an answer.
4. **[Doc-React: Multi-page Heterogeneous Document Question-answering](https://md.research.elamur.ai/free/en/papers/wu-2025-doc-react-multi-page-heterogeneous/)** *(2025 · 6 citations)* Doc-React tackles question answering over long documents whose pages mix text, charts and images in irregular layouts.
5. **[Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models](https://md.research.elamur.ai/free/en/papers/huang-2025-embedding-informed-adaptive-retrieval-augmented/)** *(2025 · 5 citations)* Retrieval-augmented LLMs do not always benefit from external documents. When a model already knows the answer, retrieval adds cost and latency and can even hurt quality. Adaptive RAG (ARAG) tries to retrieve only when needed. Earlier ARAG methods either count entity frequencies in the pre-training corpus, which is…
6. **[Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs](https://md.research.elamur.ai/free/en/papers/xu-2026-skill-discovery-software-scripting-automation/)** *(2026 · 3 citations)* The paper addresses how to make software scripting accessible to users who lack programming skills or knowledge of an application's API.
7. **[CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing](https://md.research.elamur.ai/free/en/papers/wang-2026-cacheprune-teaching-llms-what-not/)** *(2026)* The paper addresses indirect prompt injection, where an LLM obeys commands hidden inside supplied context (e.g., a retrieved passage) instead of answering the user's actual request.

## All works

10 works of theirs in our library, the most cited first; 7 with a page here, the others link their original until we summarise them.

1. **[Bias and Fairness in Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/gallegos-2023-bias-fairness-large-language-models/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.*2023 · 1,082 citations*
2. **[Towards Language-Free Training for Text-to-Image Generation ↗](https://doi.org/10.1109/cvpr52688.2022.01738) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Yufan Zhou et al.*2022 · 216 citations*
3. **[EI-CLIP: Entity-aware Interventional Contrastive Learning for E-commerce Cross-modal Retrieval ↗](https://doi.org/10.1109/cvpr52688.2022.01752) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Haoyu Ma et al.*2022 · 63 citations*
4. **[Personalization of Large Language Models: A Survey ↗](https://arxiv.org/abs/2411.00027) arXiv (Cornell University) · no summary yet**Zhehao Zhang et al.*2024 · 61 citations*
5. **[From Selection to Generation: A Survey of LLM-based Active Learning](https://md.research.elamur.ai/free/en/papers/xia-2025-selection-generation-survey-llm-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, et al.*2025 · 22 citations*
6. **[Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs](https://md.research.elamur.ai/free/en/papers/xia-2025-beyond-chain-thought-survey-chain/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Yu Xia, Rui Wang, Xu Liu, et al.*2025 · 19 citations*
7. **[Doc-React: Multi-page Heterogeneous Document Question-answering](https://md.research.elamur.ai/free/en/papers/wu-2025-doc-react-multi-page-heterogeneous/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junda Wu, Yu Xia, Tong Yu, et al.*2025 · 6 citations*
8. **[Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models](https://md.research.elamur.ai/free/en/papers/huang-2025-embedding-informed-adaptive-retrieval-augmented/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Chengkai Huang, Yu Xia, Rui Wang, et al.*2025 · 5 citations*
9. **[Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs](https://md.research.elamur.ai/free/en/papers/xu-2026-skill-discovery-software-scripting-automation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Paiheng Xu, Gang Wu, Xiang Chen, et al.*2026 · 3 citations*
10. **[CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing](https://md.research.elamur.ai/free/en/papers/wang-2026-cacheprune-teaching-llms-what-not/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Rui Wang, Junda Wu, Yu Xia, et al.*2026*

## Co-authors here

12 of 27 co-authors with a page, the most papers together first.

- [Yu Xia](https://md.research.elamur.ai/free/en/authors/yu-xia/) ×5
- [Julian McAuley](https://md.research.elamur.ai/free/en/authors/julian-mcauley/) ×4
- [Franck Dernoncourt](https://md.research.elamur.ai/free/en/authors/franck-dernoncourt/) ×3
- [Junda Wu](https://md.research.elamur.ai/free/en/authors/junda-wu/) ×3
- [Rui Wang](https://md.research.elamur.ai/free/en/authors/rui-wang/) ×3
- [Ruiyi Zhang](https://md.research.elamur.ai/free/en/authors/ruiyi-zhang/) ×3
- [Ryan A. Rossi](https://md.research.elamur.ai/free/en/authors/ryan-a-rossi/) ×3
- [Xiang Chen](https://md.research.elamur.ai/free/en/authors/xiang-chen/) ×3
- [Joe Barrow](https://md.research.elamur.ai/free/en/authors/joe-barrow/) ×2
- [Lina Yao](https://md.research.elamur.ai/free/en/authors/lina-yao/) ×2
- [Sungchul Kim](https://md.research.elamur.ai/free/en/authors/sungchul-kim/) ×2
- [Branislav Kveton](https://md.research.elamur.ai/free/en/authors/branislav-kveton/)

## 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/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×2
- [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/) ×2: [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/) ×2
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×2
- [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/): [Computational Linguistics 2023](https://md.research.elamur.ai/free/en/venues/cl/2023/)
- [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/)

## Cited by

Papers of our library cite their works 490 times (of the 149,439 papers whose bibliographies we read); [105 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/tong-yu/cited-by/).

Updated 1 November 2026