--- title: "Shengzhi Li — author profile and papers · Question answering" description: "Shengzhi Li, University of Massachusetts Boston: 2 papers on Elamur Research (2023–2026), h-index 2 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/shengzhi-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/shengzhi-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Shengzhi Li # Shengzhi Li Shengzhi Li has 2 papers in our library, in 2023–2026, most of them on [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/); often with [Prayag Tiwari](https://md.research.elamur.ai/free/en/authors/prayag-tiwari/), [Yuxiang Wang](https://md.research.elamur.ai/free/en/authors/yuxiang-wang/). 2 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5015725754) · [**h-index 2**](https://openalex.org/authors/A5015725754) · [7 works](https://openalex.org/works?filter=author.id:A5015725754) · [26 citations](https://openalex.org/works?filter=author.id:A5015725754&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/shengzhi-li/#papers) · [🔗 Cited 31 times in our library](https://md.research.elamur.ai/free/en/authors/shengzhi-li/cited-by/) · [⭐ Paper Stars ranking: #9031](https://md.research.elamur.ai/free/en/paper-stars/page/91/#star-9031) 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=Shengzhi+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shengzhi+Li) · [dblp](https://dblp.org/search?q=Shengzhi+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Shengzhi+Li) ## Affiliations [🎓**University of Massachusetts Boston** Boston · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-massachusetts-boston/) 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 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Question answering · 2 works](https://md.research.elamur.ai/free/en/topics/question-answering/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/shengzhi-li/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/shengzhi-li/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific Graphs](https://md.research.elamur.ai/free/en/papers/li-2023-scigraphqa-large-scale-synthetic-multi/)** *(2023 · 50 citations)* Interpreting graphs in scientific papers is hard for multimodal LLMs. Existing chart VQA datasets are small or depend on synthetic charts with templated, fixed-vocabulary questions. The authors build SciGraphQA by extending SciCap+, which covers roughly 290K Computer Science and stat.ML arXiv papers from 2010–2020.… 2. **[Preference Optimization for Review Question Generation Improves Writing Quality](https://md.research.elamur.ai/free/en/papers/sharma-2026-preference-optimization-review-question-generation/)** *(2026)* LLM-drafted peer-review questions are often shallow. They tend to echo keywords or the introduction instead of engaging critically with the whole paper. To address this, the authors built a corpus of reviewer questions from ICLR 2024 reviews on OpenReview, using Gemini 2.0 for extraction and olmOCR for paper text.… ## Co-authors here 2 co-authors with a page, the most papers together first. - [Prayag Tiwari](https://md.research.elamur.ai/free/en/authors/prayag-tiwari/) - [Yuxiang Wang](https://md.research.elamur.ai/free/en/authors/yuxiang-wang/) ## 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/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ## Cited by Papers of our library cite their works 31 times (of the 149,439 papers whose bibliographies we read); [7 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/shengzhi-li/cited-by/). Updated 1 November 2026