Elamur Research⌕
☰
home / authors / Qing Liu

Qing Liu

Qing Liu has 2 papers in our library, in 2022–2024, most of them on Language models & pretraining, Reasoning, Knowledge graphs & ontologies; often with Daniel Simig, Kurt Shuster, Ping Yu.

2 papers in our library · 2022–2024

OpenAlex · ORCID · h-index 15 · 57 works · 920 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 181 times in our library · ⭐ Paper Stars ranking: #4804

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

🏛️Commonwealth Scientific and Industrial Research OrganisationCanberra · Australia2008–2026 · 39 paperscurrent🔬Data61Sydney · Australia2005–2026 · 27 paperscurrent🎓Tianjin Normal UniversityTianjin · China2025–2026 · 2 paperscurrent🎓Southwest Petroleum UniversityChengdu · China2023–2025 · 3 papers🎓UNSW SydneySydney · Australia2005–2006 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 2 worksKnowledge graphs & ontologies · 1 workReasoning · 1 work

 Works by year

2020s

20241 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization (2022 · 244 citations)
    Instruction-tuning means fine-tuning a large language model on many tasks phrased as instructions. It is known to help zero- and few-shot transfer, but it was unclear how individual design choices affect results. The authors examine these choices at scale. They merged 8 existing task collections into OPT-IML Bench…
  2. Paths-over-Graph: Knowledge Graph Empowered Large Language Model Reasoning (2024 · 80 citations)
    LLMs often hallucinate or lack facts when questions need several reasoning steps. Existing KG-augmented methods such as ToG and MindMap struggle with three things: multi-hop chains, questions that mention several entities, and the structure of the graph itself. The authors propose Paths-over-Graph (PoG), a…

 Co-authors here

11 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 181 times (of the 149,439 papers whose bibliographies we read); 63 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/qing-liu/