--- title: "Xingwei Qu — author profile and papers — Elamur Research" description: "Xingwei Qu, University of Manchester: 4 papers on Elamur Research (2023–2025), h-index 4 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/xingwei-qu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xingwei-qu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xingwei Qu # Xingwei Qu Xingwei Qu has 4 papers in our library, in 2023–2025, 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/); often with [Ge Zhang](https://md.research.elamur.ai/free/en/authors/ge-zhang/), [Cheng Luo](https://md.research.elamur.ai/free/en/authors/cheng-luo/), [Dawei Zhu](https://md.research.elamur.ai/free/en/authors/dawei-zhu/). 4 papers in our library · 2023–2025 [OpenAlex](https://openalex.org/A5101308310) · [**h-index 4**](https://openalex.org/authors/A5101308310) · [45 works](https://openalex.org/works?filter=author.id:A5101308310) · [54 citations](https://openalex.org/works?filter=author.id:A5101308310&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/xingwei-qu/#papers) · [🔗 Cited 524 times in our library](https://md.research.elamur.ai/free/en/authors/xingwei-qu/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4607](https://md.research.elamur.ai/free/en/paper-stars/page/47/#star-4607) 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=Xingwei+Qu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xingwei+Qu) · [dblp](https://dblp.org/search?q=Xingwei+Qu) · [ACL Anthology](https://aclanthology.org/search/?q=Xingwei+Qu) ## Affiliations [🎓**University of Manchester** Manchester · United Kingdom 2024–2026 · 17 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-manchester/) · [🎓**Hong Kong University of Science and Technology** Hong Kong · China 2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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 · 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/) · [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/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Applied Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/applied-mathematics/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [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/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/xingwei-qu/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/xingwei-qu/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/xingwei-qu/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning](https://md.research.elamur.ai/free/en/papers/yue-2023-mammoth-building-math-generalist-models/)** *(2023 · 295 citations)* Open-source LLMs trailed closed systems such as GPT-4 on math benchmarks. Earlier fixes had drawbacks: continued pre-training on huge math corpora was costly, and fine-tuning on a single dataset (RFT, WizardMath) raised in-domain scores but often lowered accuracy on unseen math tasks. The authors built MathInstruct… 2. **[Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference](https://md.research.elamur.ai/free/en/papers/song-2025-seed-diffusion-large-scale/)** *(2025 · 28 citations)* Discrete diffusion language models can generate many tokens in parallel, but two problems limit them in practice. 3. **[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. 4. **[A Survey on Latent Reasoning](https://md.research.elamur.ai/free/en/papers/zhu-2025-survey-latent-reasoning/)** *(2025 · 15 citations)* Chain-of-thought prompting makes LLMs reason step by step in written language, but each generated token carries very little information. ## All works 8 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them. 1. [**MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning arXiv:2309.05653**Xiang Yue, Xingwei Qu, Ge Zhang, et al.*2023 · 295 citations*](https://md.research.elamur.ai/free/en/papers/yue-2023-mammoth-building-math-generalist-models/) 2. **[SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines ↗](https://arxiv.org/abs/2502.14739) arXiv:2502.14739 · no summary yet**M-A-P Team et al.*2025 · 89 citations* 3. **[ReTool: Reinforcement Learning for Strategic Tool Use in LLMs ↗](https://arxiv.org/abs/2504.11536) arXiv:2504.11536 · no summary yet**Jiazhan Feng et al.*2025 · 88 citations* 4. [**Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference arXiv:2508.02193**Yuxuan Song, Zheng Zhang, Cheng Luo, et al.*2025 · 28 citations*](https://md.research.elamur.ai/free/en/papers/song-2025-seed-diffusion-large-scale/) 5. **[OmniBench: Towards The Future of Universal Omni-Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-omnibench-towards-future-universal-omni/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yizhi Li, Yinghao Ma, Ge Zhang, et al.*2024 · 17 citations* 6. [**A Survey on Latent Reasoning arXiv:2507.06203**Rui-Jie Zhu, Tianhao Peng, Tianhao Cheng, et al.*2025 · 15 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2025-survey-latent-reasoning/) 7. **[COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values ↗](https://aclanthology.org/2026.findings-eacl.288/) Findings of the Association for Computational Linguistics: EACL 2026 · no summary yet**Siwei Wu et al.*2026* 8. **[MMRA: A Benchmark for Evaluating Multi-Granularity and Multi-Image Relational Association Capabilities in Large Visual Language Models ↗](https://aclanthology.org/2026.findings-eacl.287/) Findings of the Association for Computational Linguistics: EACL 2026 · no summary yet**Siwei Wu et al.*2026* ## Co-authors here 12 of 27 co-authors with a page, the most papers together first. - [Ge Zhang](https://md.research.elamur.ai/free/en/authors/ge-zhang/) ×2 - [Cheng Luo](https://md.research.elamur.ai/free/en/authors/cheng-luo/) - [Dawei Zhu](https://md.research.elamur.ai/free/en/authors/dawei-zhu/) - [Hangyu Guo](https://md.research.elamur.ai/free/en/authors/hangyu-guo/) - [Hao Luo](https://md.research.elamur.ai/free/en/authors/hao-luo/) - [Hao Wang](https://md.research.elamur.ai/free/en/authors/hao-wang/) - [Huan Sun](https://md.research.elamur.ai/free/en/authors/huan-sun/) - [Jiaheng Liu](https://md.research.elamur.ai/free/en/authors/jiaheng-liu/) - [Jian Yang](https://md.research.elamur.ai/free/en/authors/jian-yang/) - [Jinfa Huang](https://md.research.elamur.ai/free/en/authors/jinfa-huang/) - [Jing Su](https://md.research.elamur.ai/free/en/authors/jing-su/) - [Rui-Jie Zhu](https://md.research.elamur.ai/free/en/authors/rui-jie-zhu/) ## 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: EACL 2026 ×2 - [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 524 times (of the 149,439 papers whose bibliographies we read); [150 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xingwei-qu/cited-by/). Updated 31 October 2026