--- title: "Siwei Wu · Beijing Normal University — author profile and papers" description: "Siwei Wu, Beijing Normal University: 4 papers on Elamur Research (2024–2026), h-index 19 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/siwei-wu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/siwei-wu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Siwei Wu # Siwei Wu Siwei Wu has 4 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/); often with [Xingwei Qu](https://md.research.elamur.ai/free/en/authors/xingwei-qu/), [Yiming Liang](https://md.research.elamur.ai/free/en/authors/yiming-liang/), [Yizhi Li](https://md.research.elamur.ai/free/en/authors/yizhi-li/). 4 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5100682226) · [ORCID](https://orcid.org/0000-0002-4691-3679) · [**h-index 19**](https://openalex.org/authors/A5100682226) · [104 works](https://openalex.org/works?filter=author.id:A5100682226) · [1,681 citations](https://openalex.org/works?filter=author.id:A5100682226&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/siwei-wu/#papers) · [🔗 Cited 16 times in our library](https://md.research.elamur.ai/free/en/authors/siwei-wu/cited-by/) · [⭐ Paper Stars ranking: #10480](https://md.research.elamur.ai/free/en/paper-stars/page/105/#star-10480) 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=Siwei+Wu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Siwei+Wu) · [dblp](https://dblp.org/search?q=Siwei+Wu) · [ACL Anthology](https://aclanthology.org/search/?q=Siwei+Wu) ## Affiliations [🎓**Northeastern University** Shenyang · China 2016–2026 · 32 papers*current*](https://md.research.elamur.ai/free/en/universities/northeastern-university-cn/) · [🎓**Beijing Normal University** Beijing · China 2005–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/beijing-normal-university/) · [🎓**University of Manchester** Manchester · United Kingdom 2024–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-manchester/) · [🎓**Chongqing Technology and Business University** Chongqing · China 2005–2022 · 10 papers](https://ror.org/05hqf1284) · [🎓**Hengyang Normal University** Hengyang · China 2012–2021 · 8 papers](https://ror.org/006bvjm48) · [🎓**Shanghai University** Shanghai · China 2016–2021 · 8 papers](https://md.research.elamur.ai/free/en/universities/shanghai-university/) · [🔬**State Key Laboratory of Advanced Special Steel** Shanghai · China 2019–2021 · 6 papers](https://ror.org/039099j03) · [🎓**Guangdong University of Technology** Guangzhou · China 2022–2025 · 5 papers](https://md.research.elamur.ai/free/en/universities/guangdong-university-of-technology/) · [🎓**Nanjing University of Science and Technology** Nanjing · China 2023–2025 · 5 papers](https://md.research.elamur.ai/free/en/universities/nanjing-university-of-science-and-technology/) · [🎓**Northeastern University** Boston · United States 2017–2025 · 5 papers](https://md.research.elamur.ai/free/en/universities/northeastern-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 12 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 10 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/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [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 · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [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/) 🧭 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/) · [Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/siwei-wu/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/siwei-wu/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[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. 2. **[COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values](https://md.research.elamur.ai/free/en/papers/wu-2026-coig-p-high-quality-large/)** *(2026)* Chinese alignment work lacks good preference data. Existing Chinese datasets are small, often drawn from a single source such as Zhihu, and seldom checked by training models on them. Human labelling is also too costly to scale. The authors build an annotation pipeline that uses LLMs only, with no human labelling.… 3. **[LoopCoder: Scaling Code Intelligence via Looped Language Models](https://md.research.elamur.ai/free/en/papers/yang-2026-loopcoder-scaling-code-intelligence-looped/)** *(2026)* Code LLMs usually get better at algorithmic reasoning by adding depth and parameters, which ties reasoning capacity to memory cost. 4. **[MMRA: A Benchmark for Evaluating Multi-Granularity and Multi-Image Relational Association Capabilities in Large Visual Language Models](https://md.research.elamur.ai/free/en/papers/wu-2026-mmra-benchmark-evaluating-multi-granularity/)** *(2026)* Existing multimodal benchmarks mostly test facts within a single image. Earlier multi-image suites such as MuirBench and MIRB ask factual questions and do not probe the commonsense links between pictures or whether a model tracks their order. The authors introduce a multi-image relation association task and MMRA, a… ## Co-authors here 12 of 25 co-authors with a page, the most papers together first. - [Xingwei Qu](https://md.research.elamur.ai/free/en/authors/xingwei-qu/) ×3 - [Yiming Liang](https://md.research.elamur.ai/free/en/authors/yiming-liang/) ×3 - [Yizhi Li](https://md.research.elamur.ai/free/en/authors/yizhi-li/) ×3 - [Ge Zhang](https://md.research.elamur.ai/free/en/authors/ge-zhang/) ×2 - [Jiaheng Liu](https://md.research.elamur.ai/free/en/authors/jiaheng-liu/) ×2 - [Jian Yang](https://md.research.elamur.ai/free/en/authors/jian-yang/) ×2 - [Shuyue Guo](https://md.research.elamur.ai/free/en/authors/shuyue-guo/) ×2 - [Tianyu Zheng](https://md.research.elamur.ai/free/en/authors/tianyu-zheng/) ×2 - [Che Liu](https://md.research.elamur.ai/free/en/authors/che-liu/) - [Hangyu Guo](https://md.research.elamur.ai/free/en/authors/hangyu-guo/) - [Haoning Wu](https://md.research.elamur.ai/free/en/authors/haoning-wu/) - [Jiajun Wu](https://md.research.elamur.ai/free/en/authors/jiajun-wu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×3: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×3 - [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 16 times (of the 149,439 papers whose bibliographies we read); [5 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/siwei-wu/cited-by/). Updated 2 November 2026