--- title: "Yitao Liang — author profile and papers — Elamur Research" description: "Yitao Liang, Shanghai Business School: 3 papers on Elamur Research (2023–2024), h-index 17 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/yitao-liang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yitao-liang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yitao Liang # Yitao Liang Yitao Liang has 3 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Anji Liu](https://md.research.elamur.ai/free/en/authors/anji-liu/), [Jiaqi Li](https://md.research.elamur.ai/free/en/authors/jiaqi-li/), [Xiaojian Ma](https://md.research.elamur.ai/free/en/authors/xiaojian-ma/). 3 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5112110952) · [ORCID](https://orcid.org/0009-0009-0944-7814) · [**h-index 17**](https://openalex.org/authors/A5112110952) · [109 works](https://openalex.org/works?filter=author.id:A5112110952) · [1,430 citations](https://openalex.org/works?filter=author.id:A5112110952&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yitao-liang/#papers) · [🔗 Cited 258 times in our library](https://md.research.elamur.ai/free/en/authors/yitao-liang/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5778](https://md.research.elamur.ai/free/en/paper-stars/page/58/#star-5778) 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=Yitao+Liang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yitao+Liang) · [dblp](https://dblp.org/search?q=Yitao+Liang) · [ACL Anthology](https://aclanthology.org/search/?q=Yitao+Liang) ## Affiliations [🎓**Peking University** Beijing · China 2022–2026 · 23 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🏛️**Beijing Institute for General Artificial Intelligence** Beijing · China 2022–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/government/beijing-institute-for-general-artificial-intelligence/) · [🎓**Shanghai Business School** Shanghai · China 2026 · 1 paper*current*](https://ror.org/05kf5z787) · [🎓**Henan University of Technology** Zhengzhou · China 2007–2025 · 47 papers](https://ror.org/05sbgwt55) · [🎓**University of California, Los Angeles** Los Angeles · United States 2017–2021 · 11 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-los-angeles/) · [🎓**Franklin & Marshall College** Lancaster · United States 2015–2017 · 5 papers](https://ror.org/04fp4ps48) · [🎓**East China Normal University** Shanghai · China 2017–2021 · 2 papers](https://md.research.elamur.ai/free/en/universities/east-china-normal-university/) 🏛️**UCLA** Los Angeles · [United States](https://md.research.elamur.ai/free/en/countries/united-states/) 2016–2021Education 2016–2021 · Ph.D., Computer Science 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 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [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/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yitao-liang/year/2024/) · [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/yitao-liang/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents](https://md.research.elamur.ai/free/en/papers/wang-2023-describe-explain-plan-select-interactive/)** *(2023 · 174 citations)* The paper tackles task planning for embodied agents in open-world settings such as Minecraft. Two problems make LLM planners fail there. Tasks need long chains of dependent sub-goals, so a plan written in one pass is often wrong. Plans also ignore which of several alternative sub-goals the agent can reach most easily… 2. **[Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners](https://md.research.elamur.ai/free/en/papers/tang-2023-large-language-models-context-semantic/)** *(2023 · 52 citations)* This work asks where the apparent few-shot reasoning skill of LLMs actually comes from. The authors argue that it depends largely on token meanings absorbed during pretraining, which let models link concepts into shallow shortcut chains instead of applying rules formally. To test this, they remove or invert semantics… 3. **[RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation](https://md.research.elamur.ai/free/en/papers/wang-2024-rat-retrieval-augmented-thoughts-elicit/)** *(2024 · 46 citations)* Large language models that reason step by step often produce intermediate thoughts containing invented facts. ## All works 6 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. [**Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents arXiv:2302.01560**Zihao Wang, Shaofei Cai, Guanzhou Chen, et al.*2023 · 174 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-describe-explain-plan-select-interactive/) 2. [**Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners arXiv:2305.14825**Xiaojuan Tang, Zilong Zheng, Jiaqi Li, et al.*2023 · 52 citations*](https://md.research.elamur.ai/free/en/papers/tang-2023-large-language-models-context-semantic/) 3. **[JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models ↗](https://arxiv.org/abs/2311.05997) arXiv:2311.05997 · no summary yet**Zihao Wang et al.*2023 · 47 citations* 4. [**RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation arXiv:2403.05313**Zihao Wang, Anji Liu, Haowei Lin, et al.*2024 · 46 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-rat-retrieval-augmented-thoughts-elicit/) 5. **[Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction ↗](https://arxiv.org/abs/2301.10034) arXiv:2301.10034 · no summary yet**Shaofei Cai et al.*2023 · 18 citations* 6. **[Proposing and solving olympiad geometry with guided tree search ↗](https://arxiv.org/abs/2412.10673) arXiv:2412.10673 · no summary yet**Chi Zhang et al.*2024 · 8 citations* ## Co-authors here 8 co-authors with a page, the most papers together first. - [Anji Liu](https://md.research.elamur.ai/free/en/authors/anji-liu/) ×2 - [Jiaqi Li](https://md.research.elamur.ai/free/en/authors/jiaqi-li/) ×2 - [Xiaojian Ma](https://md.research.elamur.ai/free/en/authors/xiaojian-ma/) ×2 - [Zihao Wang](https://md.research.elamur.ai/free/en/authors/zihao-wang/) ×2 - [Fanxu Meng](https://md.research.elamur.ai/free/en/authors/fanxu-meng/) - [Muhan Zhang](https://md.research.elamur.ai/free/en/authors/muhan-zhang/) - [Song-Chun Zhu](https://md.research.elamur.ai/free/en/authors/song-chun-zhu/) - [Zilong Zheng](https://md.research.elamur.ai/free/en/authors/zilong-zheng/) ## Cited by Papers of our library cite their works 258 times (of the 149,439 papers whose bibliographies we read); [60 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yitao-liang/cited-by/). Updated 31 October 2026