--- title: "Jiaqi Li — author profile and papers" description: "Jiaqi Li, Hangzhou Normal University: 2 papers on Elamur Research (2023–2025), h-index 10 — affiliations, topics, co-authors and who cites them in our…" canonical: "https://research.elamur.ai/free/en/authors/jiaqi-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jiaqi-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jiaqi Li # Jiaqi Li Jiaqi Li has 2 papers in our library, in 2023–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Knowledge graphs & ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/); often with [Bing Qin](https://md.research.elamur.ai/free/en/authors/bing-qin/), [Shijin Wang](https://md.research.elamur.ai/free/en/authors/shijin-wang/), [Zilong Zheng](https://md.research.elamur.ai/free/en/authors/zilong-zheng/). 2 papers in our library · 2023–2025 [OpenAlex](https://openalex.org/A5037457741) · [ORCID](https://orcid.org/0009-0003-0597-0970) · [**h-index 10**](https://openalex.org/authors/A5037457741) · [83 works](https://openalex.org/works?filter=author.id:A5037457741) · [336 citations](https://openalex.org/works?filter=author.id:A5037457741&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jiaqi-li/#papers) · [🔗 116 citations in our library](https://md.research.elamur.ai/free/en/authors/jiaqi-li/cited-by/) · [⭐ Paper Star rank #3905](https://md.research.elamur.ai/free/en/paper-stars/page/40/#star-3905) 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=Jiaqi+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jiaqi+Li) · [dblp](https://dblp.org/search?q=Jiaqi+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Jiaqi+Li) ## Affiliations [🎓**University of Chicago** Chicago · United States 2024–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-chicago/) · [🎓**Hangzhou Normal University** Hangzhou · China 2025–2026 · 2 papers*current*](https://ror.org/014v1mr15) · [🎓**Beihang University** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/beihang-university/) · [🎓**Kean University** Union · United States 2014–2025 · 39 papers](https://ror.org/04wzzqn13) · [🎓**Washington University in St. Louis** St Louis · United States 2024–2025 · 5 papers](https://md.research.elamur.ai/free/en/universities/washington-university-in-st-louis/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2010–2025 · 2 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**Soochow University** Suzhou · China 2018 · 2 papers](https://md.research.elamur.ai/free/en/universities/soochow-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 18 more institutions on single bylines are not listed. ## Topics [Language models & pretraining (2)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Question answering (1)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Knowledge graphs & ontologies (1)](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/papers/liu-2025-ontology-guided-reverse-thinking-makes/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/papers/li-2023-loogle-long-context-language-models/) ## Papers The most cited first (OpenAlex and our library). 1. **[LooGLE: Can Long-Context Language Models Understand Long Contexts?](https://md.research.elamur.ai/free/en/papers/li-2023-loogle-long-context-language-models/)** *(2023 · 162 citations)* Existing long-context benchmarks tend to use texts much shorter than current LLM context windows. They also recycle older documents that models may have seen during pre-training, and they mostly test whether a model can find an answer in a single passage. LooGLE addresses these gaps with 776 documents published after… 2. **[Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering](https://md.research.elamur.ai/free/en/papers/liu-2025-ontology-guided-reverse-thinking-makes/)** *(2025 · 15 citations)* Approaches that couple large language models with knowledge graphs for question answering (KGQA) typically locate relevant facts through entity embeddings and graph search. ## Co-authors here 3 co-authors with a page, the most papers together first. - [Bing Qin](https://md.research.elamur.ai/free/en/authors/bing-qin/) - [Shijin Wang](https://md.research.elamur.ai/free/en/authors/shijin-wang/) - [Zilong Zheng](https://md.research.elamur.ai/free/en/authors/zilong-zheng/) ## Cited by Papers of our library cite their works 116 times (of the 140,884 papers whose bibliographies we read); [6 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jiaqi-li/cited-by/).