--- title: "Hangyu Guo · Shandong University — author profile and papers" description: "Hangyu Guo, Shandong University: 5 papers on Elamur Research (2024–2026), h-index 8 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/hangyu-guo/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/hangyu-guo/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Hangyu Guo # Hangyu Guo Hangyu Guo has 5 papers in our library, in 2024–2026, 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/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Chengyuan Yao](https://md.research.elamur.ai/free/en/authors/chengyuan-yao/), [Jiaheng Liu](https://md.research.elamur.ai/free/en/authors/jiaheng-liu/), [Ailin Huang](https://md.research.elamur.ai/free/en/authors/ailin-huang/). 5 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5058236062) · [ORCID](https://orcid.org/0009-0005-5744-8935) · [**h-index 8**](https://openalex.org/authors/A5058236062) · [37 works](https://openalex.org/works?filter=author.id:A5058236062) · [466 citations](https://openalex.org/works?filter=author.id:A5058236062&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/hangyu-guo/#papers) · [🔗 Cited 86 times in our library](https://md.research.elamur.ai/free/en/authors/hangyu-guo/cited-by/) · [⭐ Paper Stars ranking: #8611](https://md.research.elamur.ai/free/en/paper-stars/page/87/#star-8611) 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=Hangyu+Guo) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Hangyu+Guo) · [dblp](https://dblp.org/search?q=Hangyu+Guo) · [ACL Anthology](https://aclanthology.org/search/?q=Hangyu+Guo) ## Affiliations [🎓**Jilin University** Changchun · China 2022–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/jilin-university/) · [🎓**Shandong University** Jinan · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/shandong-university/) · [🏢**Alibaba Group** Hangzhou · China 2024–2025 · 4 papers](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🎓**Central South University** Changsha · China 2024–2025 · 4 papers](https://md.research.elamur.ai/free/en/universities/central-south-university/) · [🎓**Harbin Institute of Technology** Harbin · China 2022–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🎓**Renmin University of China** Beijing · China 2023–2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/renmin-university-of-china/) · [🎓**Sichuan University** Chengdu · China 2022–2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/sichuan-university/) · [🔬**State Key Laboratory of Polymer Materials Engineering** Chengdu · China 2022–2023 · 2 papers](https://ror.org/02rbzhv36) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 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 8 The field of science this work belongs to (OpenAlex fields).[Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 4 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/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) 🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 3 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 2 works](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/hangyu-guo/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/hangyu-guo/year/2025/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/hangyu-guo/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models](https://md.research.elamur.ai/free/en/papers/he-2024-chinese-simpleqa-chinese-factuality/)** *(2024 · 34 citations)* Hallucination remains a major weakness of large language models. Factuality is hard to measure when models produce long answers that mix many claims. OpenAI's SimpleQA addressed this with short fact-seeking questions, but it covers only English. Chinese SimpleQA is a Chinese counterpart: 3,000 short questions, each… 2. **[OmniBench: Towards The Future of Universal Omni-Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-omnibench-towards-future-universal-omni/)** *(2024 · 17 citations)* Most multimodal LLMs are built and tested on pairs of modalities (image–text or audio–text), so it is unclear how well they handle an image, an audio clip and a text instruction together. 3. **[What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning](https://md.research.elamur.ai/free/en/papers/du-2025-what-makes-good-visual-instructions/)** *(2025 · 13 citations)* The paper asks which properties of visual instruction data actually help Multi-modal Large Language Models (MLLMs) generalize, since earlier collections had never been compared under the same backbone and training setup. 4. **[STEP3-VL-10B Technical Report](https://md.research.elamur.ai/free/en/papers/huang-2026-step3-vl-10b-technical/)** *(2026 · 2 citations)* Compact multimodal models (around 10B parameters or fewer) are usually efficient but weaker at difficult perception and reasoning. 5. **[PRIME: A Process-Outcome Alignment Benchmark for Verifiable Reasoning in Mathematics and Engineering](https://md.research.elamur.ai/free/en/papers/wang-2026-prime-process-outcome-alignment-benchmark/)** *(2026)* RLVR (reinforcement learning with verifiable rewards) relies on verifiers that usually check only whether a model's final answer matches the reference. ## Co-authors here 12 of 35 co-authors with a page, the most papers together first. - [Chengyuan Yao](https://md.research.elamur.ai/free/en/authors/chengyuan-yao/) ×2 - [Jiaheng Liu](https://md.research.elamur.ai/free/en/authors/jiaheng-liu/) ×2 - [Ailin Huang](https://md.research.elamur.ai/free/en/authors/ailin-huang/) - [Boren Zheng](https://md.research.elamur.ai/free/en/authors/boren-zheng/) - [Chunrui Han](https://md.research.elamur.ai/free/en/authors/chunrui-han/) - [Fanqi Wan](https://md.research.elamur.ai/free/en/authors/fanqi-wan/) - [Ge Zhang](https://md.research.elamur.ai/free/en/authors/ge-zhang/) - [Hui Huang](https://md.research.elamur.ai/free/en/authors/hui-huang/) - [Ji-Rong Wen](https://md.research.elamur.ai/free/en/authors/ji-rong-wen/) - [Jian Yang](https://md.research.elamur.ai/free/en/authors/jian-yang/) - [Jingcheng Hu](https://md.research.elamur.ai/free/en/authors/jingcheng-hu/) - [Jinpeng Wang](https://md.research.elamur.ai/free/en/authors/jinpeng-wang/) ## 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/) - [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/) - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/) ## Cited by Papers of our library cite their works 86 times (of the 149,439 papers whose bibliographies we read); [40 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/hangyu-guo/cited-by/). Updated 1 November 2026