🧑‍🔬 Xingwei Qu

🏛️ Affiliations

🎓University of ManchesterManchester · United Kingdom2024–2026 · 17 paperscurrent🎓Hong Kong University of Science and TechnologyHong Kong · China2024 · 3 papers

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning (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 (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 (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 (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 TuningarXiv:2309.05653Xiang Yue, Xingwei Qu, Ge Zhang, et al.2023 · 295 citations
2. SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines ↗arXiv:2502.14739 · no summary yetM-A-P Team et al.2025 · 89 citations
3. ReTool: Reinforcement Learning for Strategic Tool Use in LLMs ↗arXiv:2504.11536 · no summary yetJiazhan Feng et al.2025 · 88 citations
4. Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed InferencearXiv:2508.02193Yuxuan Song, Zheng Zhang, Cheng Luo, et al.2025 · 28 citations
5. OmniBench: Towards The Future of Universal Omni-Language ModelsConference on Neural Information Processing Systems (NeurIPS)Yizhi Li, Yinghao Ma, Ge Zhang, et al.2024 · 17 citations
6. A Survey on Latent ReasoningarXiv:2507.06203Rui-Jie Zhu, Tianhao Peng, Tianhao Cheng, et al.2025 · 15 citations
7. COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values ↗Findings of the Association for Computational Linguistics: EACL 2026 · no summary yetSiwei Wu et al.2026
8. MMRA: A Benchmark for Evaluating Multi-Granularity and Multi-Image Relational Association Capabilities in Large Visual Language Models ↗Findings of the Association for Computational Linguistics: EACL 2026 · no summary yetSiwei Wu et al.2026

🤝 Co-authors here

12 of 27 co-authors with a page, the most papers together first.

• Ge Zhang ×2
• Cheng Luo
• Dawei Zhu
• Hangyu Guo
• Hao Luo
• Hao Wang
• Huan Sun
• Jiaheng Liu
• Jian Yang
• Jinfa Huang
• Jing Su
• 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): NeurIPS 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 →.

Updated 31 October 2026

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