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Jiaqi Li

Jiaqi Li has 2 papers in our library, in 2023–2025, most of them on Language models & pretraining, Question answering, Knowledge graphs & ontologies; often with Bing Qin, Shijin Wang, Zilong Zheng.

2 papers in our library · 2023–2025

current affiliationHangzhou Normal University, Hangzhou, China; University of Chicago, Chicago, United States; Beihang University, Beijing, China

OpenAlex · ORCID · h-index 10 · 83 works · 336 citations OpenAlex, 2026-10-14

2 works in our library · 116 citations in our library · ⭐ Paper Star rank #3905

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

Affiliations

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 & pretraining2Question answering1Knowledge graphs & ontologies1

Works by year

2020s

20251 paper20231 paper

Papers

The most cited first (OpenAlex and our library).

  1. LooGLE: Can Long-Context Language Models Understand Long Contexts? (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 (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.

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 →.

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