--- title: "Qing Liu — author profile and papers — Elamur Research" description: "Qing Liu, Commonwealth Scientific and Industrial Research Organisation: 3 papers on Elamur Research (2022–2026), h-index 15…" canonical: "https://research.elamur.ai/free/en/authors/qing-liu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/qing-liu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Qing Liu # Qing Liu Qing Liu has 3 papers in our library, in 2022–2026, 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/), [Knowledge graphs & ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/); often with [Daniel Simig](https://md.research.elamur.ai/free/en/authors/daniel-simig/), [Jiang Zhong](https://md.research.elamur.ai/free/en/authors/jiang-zhong/), [Jingwang Huang](https://md.research.elamur.ai/free/en/authors/jingwang-huang/). 3 papers in our library · 2022–2026 [OpenAlex](https://openalex.org/A5100345166) · [ORCID](https://orcid.org/0000-0001-7895-9551) · [**h-index 15**](https://openalex.org/authors/A5100345166) · [57 works](https://openalex.org/works?filter=author.id:A5100345166) · [920 citations](https://openalex.org/works?filter=author.id:A5100345166&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/qing-liu/#papers) · [🔗 Cited 181 times in our library](https://md.research.elamur.ai/free/en/authors/qing-liu/cited-by/) · [⭐ Paper Stars ranking: #5359](https://md.research.elamur.ai/free/en/paper-stars/page/54/#star-5359) 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=Qing+Liu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Qing+Liu) · [dblp](https://dblp.org/search?q=Qing+Liu) · [ACL Anthology](https://aclanthology.org/search/?q=Qing+Liu) ## Affiliations [🏛️**Commonwealth Scientific and Industrial Research Organisation** Canberra · Australia 2008–2026 · 39 papers*current*](https://md.research.elamur.ai/free/en/government/commonwealth-scientific-and-industrial-research-organisation/) · [🔬**Data61** Sydney · Australia 2005–2026 · 27 papers*current*](https://md.research.elamur.ai/free/en/labs/data61/) · [🎓**Tianjin Normal University** Tianjin · China 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/tianjin-normal-university/) · [🎓**Southwest Petroleum University** Chengdu · China 2023–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/southwest-petroleum-university/) · [🎓**UNSW Sydney** Sydney · Australia 2005–2006 · 2 papers](https://md.research.elamur.ai/free/en/universities/unsw-sydney/) 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 6 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/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 5 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Knowledge graphs & ontologies · 1 work](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/qing-liu/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/qing-liu/year/2024/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/qing-liu/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization](https://md.research.elamur.ai/free/en/papers/iyer-2022-opt-iml-scaling-language-model/)** *(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](https://md.research.elamur.ai/free/en/papers/tan-2024-paths-over-graph-knowledge-graph/)** *(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… 3. **[Chart-MRAG: Benchmarking Multimodal Retrieval Augmented Generation on Chart-based Documents](https://md.research.elamur.ai/free/en/papers/ymyang-2026-chart-mrag-benchmarking-multimodal-retrieval/)** *(2026)* Benchmarks for multimodal retrieval-augmented generation (MRAG) have mostly tested natural images or simple image-text combinations. ## Co-authors here 12 of 19 co-authors with a page, the most papers together first. - [Daniel Simig](https://md.research.elamur.ai/free/en/authors/daniel-simig/) - [Jiang Zhong](https://md.research.elamur.ai/free/en/authors/jiang-zhong/) - [Jingwang Huang](https://md.research.elamur.ai/free/en/authors/jingwang-huang/) - [Jingyuan Zhang](https://md.research.elamur.ai/free/en/authors/jingyuan-zhang/) - [Kaiwen Wei](https://md.research.elamur.ai/free/en/authors/kaiwen-wei/) - [Kurt Shuster](https://md.research.elamur.ai/free/en/authors/kurt-shuster/) - [Li Jin](https://md.research.elamur.ai/free/en/authors/li-jin/) - [Ping Yu](https://md.research.elamur.ai/free/en/authors/ping-yu/) - [Qin Lei](https://md.research.elamur.ai/free/en/authors/qin-lei/) - [Ramakanth Pasunuru](https://md.research.elamur.ai/free/en/authors/ramakanth-pasunuru/) - [Srinivasan Iyer](https://md.research.elamur.ai/free/en/authors/srinivasan-iyer/) - [Tianlu Wang](https://md.research.elamur.ai/free/en/authors/tianlu-wang/) ## 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 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ## Cited by Papers of our library cite their works 181 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/qing-liu/cited-by/). Updated 2 November 2026