--- title: "Yizhi Li · University of Manchester — author profile and papers" description: "Yizhi Li, University of Manchester: 3 papers on Elamur Research (2024–2025), h-index 0 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/yizhi-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yizhi-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yizhi Li # Yizhi Li Yizhi Li has 3 papers in our library, in 2024–2025, 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/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Anne Lauscher](https://md.research.elamur.ai/free/en/authors/anne-lauscher/), [Bo Li](https://md.research.elamur.ai/free/en/authors/bo-li/), [Brigitte Krenn](https://md.research.elamur.ai/free/en/authors/brigitte-krenn/). 3 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5121752602) · [**h-index 0**](https://openalex.org/authors/A5121752602) · [10 works](https://openalex.org/works?filter=author.id:A5121752602) · [0 citations](https://openalex.org/works?filter=author.id:A5121752602&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yizhi-li/#papers) · [🔗 Cited 191 times in our library](https://md.research.elamur.ai/free/en/authors/yizhi-li/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7106](https://md.research.elamur.ai/free/en/paper-stars/page/72/#star-7106) 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=Yizhi+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yizhi+Li) · [dblp](https://dblp.org/search?q=Yizhi+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Yizhi+Li) ## Affiliations [🎓**University of Manchester** Manchester · United Kingdom 2023–2026 · 45 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-manchester/) · [🎓**University of Sheffield** Sheffield · United Kingdom 2022–2023 · 10 papers](https://md.research.elamur.ai/free/en/universities/university-of-sheffield/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [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/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [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/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/yizhi-li/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yizhi-li/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale](https://md.research.elamur.ai/free/en/papers/guo-2025-mammoth-vl-eliciting-multimodal-reasoning/)** *(2025 · 40 citations)* Open-source multimodal LLMs tend to struggle with complex reasoning. A major reason is that their instruction-tuning data is mostly recycled from academic VQA-style sets such as VQA, AI2D, and ChartQA, which offer short answers and no step-by-step justification. The authors propose a low-cost pipeline built entirely… 2. **[Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation](https://md.research.elamur.ai/free/en/papers/eger-2025-transforming-science-large-language-models/)** *(2025 · 25 citations)* The survey looks at how large (multimodal) language models are starting to reshape scientific work. Earlier reviews tended to cover single disciplines or a few tasks. This paper instead follows the research lifecycle from start to finish. It covers five stages: finding and summarizing literature, generating ideas and… 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. ## All works 7 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. **[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* 2. **[MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series ↗](https://arxiv.org/abs/2405.19327) arXiv:2405.19327 · no summary yet**Ge Zhang et al.*2024 · 44 citations* 3. **[MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale](https://md.research.elamur.ai/free/en/papers/guo-2025-mammoth-vl-eliciting-multimodal-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiawei Guo, Tianyu Zheng, Yizhi Li, et al.*2025 · 40 citations* 4. **[Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation](https://md.research.elamur.ai/free/en/papers/eger-2025-transforming-science-large-language-models/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Steffen Eger, Yong Cao, Jennifer D'Souza, et al.*2025 · 25 citations* 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. **[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* 7. **[LoopCoder: Scaling Code Intelligence via Looped Language Models ↗](https://aclanthology.org/2026.findings-acl.796/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Jian Yang et al.*2026* ## Co-authors here 12 of 24 co-authors with a page, the most papers together first. - [Anne Lauscher](https://md.research.elamur.ai/free/en/authors/anne-lauscher/) - [Bo Li](https://md.research.elamur.ai/free/en/authors/bo-li/) - [Brigitte Krenn](https://md.research.elamur.ai/free/en/authors/brigitte-krenn/) - [Chenghua Lin](https://md.research.elamur.ai/free/en/authors/chenghua-lin/) - [Ge Zhang](https://md.research.elamur.ai/free/en/authors/ge-zhang/) - [Graham Neubig](https://md.research.elamur.ai/free/en/authors/graham-neubig/) - [Hangyu Guo](https://md.research.elamur.ai/free/en/authors/hangyu-guo/) - [Jennifer D'Souza](https://md.research.elamur.ai/free/en/authors/jennifer-d-souza/) - [Jiaheng Liu](https://md.research.elamur.ai/free/en/authors/jiaheng-liu/) - [Jian Yang](https://md.research.elamur.ai/free/en/authors/jian-yang/) - [Nafise Sadat Moosavi](https://md.research.elamur.ai/free/en/authors/nafise-sadat-moosavi/) - [Ruibin Yuan](https://md.research.elamur.ai/free/en/authors/ruibin-yuan/) ## 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 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/): [ACM Computing Surveys 2025](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/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/) - Findings of the Association for Computational Linguistics: ACL 2026 - Findings of the Association for Computational Linguistics: EACL 2026 ## Cited by Papers of our library cite their works 191 times (of the 149,439 papers whose bibliographies we read); [69 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yizhi-li/cited-by/). Updated 30 October 2026