---
title: "Yong Li — author profile and papers — Elamur Research"
description: "Yong Li, Ant Group: 7 papers on Elamur Research (2023–2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/yong-li/"
---
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# Yong Li

Yong Li has 7 papers in our library, in 2023–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/); often with [Chen Gao](https://md.research.elamur.ai/free/en/authors/chen-gao/), [Dajun Chen](https://md.research.elamur.ai/free/en/authors/dajun-chen/), [Fang Zhouhua](https://md.research.elamur.ai/free/en/authors/fang-zhouhua/).

7 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5139836872) · [**h-index 1**](https://openalex.org/authors/A5139836872) · [6 works](https://openalex.org/works?filter=author.id:A5139836872) · [1 citations](https://openalex.org/works?filter=author.id:A5139836872&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 7 works in our library](https://md.research.elamur.ai/free/en/authors/yong-li/#papers) · [🔗 Cited 59 times in our library](https://md.research.elamur.ai/free/en/authors/yong-li/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6231](https://md.research.elamur.ai/free/en/paper-stars/page/63/#star-6231)

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

## Affiliations

[🏢**Ant Group** Hangzhou · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/ant-group/) · [🎓**Tsinghua University** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/)

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 16 The field of science this work belongs to (OpenAlex fields).[Computer Science · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Economics and Econometrics · 1 work](https://md.research.elamur.ai/free/en/shelves/economics-econometrics-and-finance/economics-and-econometrics/) · [Economics, Econometrics and Finance · 1 work](https://md.research.elamur.ai/free/en/shelves/economics-econometrics-and-finance/) · [Management Science and Operations Research · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Automotive Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/automotive-engineering/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Networks and Communications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/)+1 more

🧭 Topics 5 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Reasoning · 3 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/)

## Works by year

### 2020s

[**2026** 5 papers](https://md.research.elamur.ai/free/en/authors/yong-li/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yong-li/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/yong-li/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities](https://md.research.elamur.ai/free/en/papers/li-2024-econagent-large-language-model-empowered/)** *(2024 · 86 citations)* Agent-based models (ABM) of the economy usually drive households with hand-written rules or trained neural networks.
2. **[EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education](https://md.research.elamur.ai/free/en/papers/dan-2023-educhat-large-scale-language-model/)** *(2023 · 58 citations)* General-purpose LLMs are poorly suited to education. They lack subject and pedagogical knowledge, their knowledge goes stale, and they tend to hallucinate. EduChat is an open-source chatbot built to serve teachers, students and parents. The authors draw on educational and psychological theory and train it in two…
3. **[CityCube: Benchmarking Cross-view Spatial Reasoning on Vision-Language Models in Urban Environments](https://md.research.elamur.ai/free/en/papers/xu-2026-citycube-benchmarking-cross-view-spatial/)** *(2026 · 1 citation)* Vision-language models increasingly act as the reasoning core of embodied agents such as drones, robots and self-driving cars.
4. **[Diffuse Thinking: Exploring Diffusion Language Models as Efficient Thought Proposers for Reasoning](https://md.research.elamur.ai/free/en/papers/shao-2026-diffuse-thinking-exploring-diffusion-language/)** *(2026 · 1 citation)* Multi-step reasoning methods such as Chain-of-Thought and Tree-of-Thought are expensive because autoregressive LLMs must decode every candidate step one token at a time.
5. **[EGSS: Entropy-guided Stepwise Scaling for Reliable Software Engineering](https://md.research.elamur.ai/free/en/papers/mao-2026-egss-entropy-guided-stepwise-scaling/)** *(2026)* Agentic test-time scaling (TTS) helps LLM agents resolve repository-level software issues, but running many trajectories is costly, and choosing the best candidate patch is unreliable.
6. **[RFS-Guard: Detecting Reasoning Hallucinations via Cross-Phase Routing Focus in Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/liu-2026-rfs-guard-detecting-reasoning-hallucinations/)** *(2026)* Large reasoning models (LRMs) can produce fluent chains of thought that still hide small arithmetic slips or broken constraints, which then lead to wrong final answers.
7. **[Towards Scalable Lightweight GUI Agents via Multi-role Orchestration](https://md.research.elamur.ai/free/en/papers/wang-2026-scalable-lightweight-gui-agents-multi/)** *(2026)* Multimodal LLM agents that operate phone and desktop interfaces work best at large scale, but such models are too costly to run on end-user devices.

## All works

9 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. **[EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities](https://md.research.elamur.ai/free/en/papers/li-2024-econagent-large-language-model-empowered/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Nian Li, Chen Gao, Mingyu Li, et al.*2024 · 86 citations*
2. [**EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education arXiv:2308.02773**Yuhao Dan, Zhikai Lei, Yiyang Gu, et al.*2023 · 58 citations*](https://md.research.elamur.ai/free/en/papers/dan-2023-educhat-large-scale-language-model/)
3. **[CityCube: Benchmarking Cross-view Spatial Reasoning on Vision-Language Models in Urban Environments](https://md.research.elamur.ai/free/en/papers/xu-2026-citycube-benchmarking-cross-view-spatial/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haotian Xu, Yue Hu, Zhengqiu Zhu, et al.*2026 · 1 citation*
4. **[Diffuse Thinking: Exploring Diffusion Language Models as Efficient Thought Proposers for Reasoning](https://md.research.elamur.ai/free/en/papers/shao-2026-diffuse-thinking-exploring-diffusion-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chenyang Shao, Sijian Ren, Fengli Xu, et al.*2026 · 1 citation*
5. **[EGSS: Entropy-guided Stepwise Scaling for Reliable Software Engineering](https://md.research.elamur.ai/free/en/papers/mao-2026-egss-entropy-guided-stepwise-scaling/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chenhui Mao, Yuanting Lei, Zhixiang Wei, et al.*2026*
6. **[RFS-Guard: Detecting Reasoning Hallucinations via Cross-Phase Routing Focus in Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/liu-2026-rfs-guard-detecting-reasoning-hallucinations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zihang Liu, Fang Zhouhua, Hui Liu, et al.*2026*
7. **[Towards Scalable Lightweight GUI Agents via Multi-role Orchestration](https://md.research.elamur.ai/free/en/papers/wang-2026-scalable-lightweight-gui-agents-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ziwei Wang, Junjie Zheng, Leyang Yang, et al.*2026*
8. **[FuseSearch: Learning Adaptive Parallel Execution for Efficient Code Localization ↗](https://aclanthology.org/2026.findings-acl.143/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Ke Xu et al.*2026*
9. **[Identifying Collective Intelligence Factor in LLM Agent Groups for Generalizable Multi-Agent System Design ↗](https://aclanthology.org/2026.findings-acl.624/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Zhilun Zhou et al.*2026*

## Co-authors here

12 of 21 co-authors with a page, the most papers together first.

- [Chen Gao](https://md.research.elamur.ai/free/en/authors/chen-gao/) ×2
- [Dajun Chen](https://md.research.elamur.ai/free/en/authors/dajun-chen/) ×2
- [Fang Zhouhua](https://md.research.elamur.ai/free/en/authors/fang-zhouhua/) ×2
- [Zhiwei Liu](https://md.research.elamur.ai/free/en/authors/zhiwei-liu/) ×2
- [Aimin Zhou](https://md.research.elamur.ai/free/en/authors/aimin-zhou/)
- [Chenyang Shao](https://md.research.elamur.ai/free/en/authors/chenyang-shao/)
- [Fengli Xu](https://md.research.elamur.ai/free/en/authors/fengli-xu/)
- [Haotian Xu](https://md.research.elamur.ai/free/en/authors/haotian-xu/)
- [Hui Liu](https://md.research.elamur.ai/free/en/authors/hui-liu/)
- [Jiaju Lin](https://md.research.elamur.ai/free/en/authors/jiaju-lin/)
- [Jiajun Bu](https://md.research.elamur.ai/free/en/authors/jiajun-bu/)
- [Quanjun Yin](https://md.research.elamur.ai/free/en/authors/quanjun-yin/)

## 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/) ×5: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×4, [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/)
- Findings of the Association for Computational Linguistics: ACL 2026 ×2
- [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 59 times (of the 149,439 papers whose bibliographies we read); [8 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yong-li/cited-by/).

Updated 1 November 2026