---
title: "Canberra — research institutions and their papers in our library"
description: "Canberra (Australia): 3 institutions with papers on Elamur Research — 1 university, 2 government research bodies — and 8,589 citations of…"
canonical: "https://research.elamur.ai/free/en/agglomerations/canberra/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/agglomerations/canberra/)

[home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [agglomerations](https://md.research.elamur.ai/free/en/agglomerations/) / Canberra

# Canberra

Agglomeration [Australia](https://md.research.elamur.ai/free/en/countries/australia/) · metro population 204,429 (the Belconnen functional urban area, GHSL 2015)

**3** institutions with a page**40** works in our library**8,589** citations of their works

## Institutions (3)

1 university, 2 government research bodies.

### 🎓 Universities (1)

1. **[Australian National University](https://md.research.elamur.ai/free/en/universities/australian-national-university/)**University · Canberra, [Australia](https://md.research.elamur.ai/free/en/countries/australia/)*24 works · 6,522 citations*

### 🏛️ Government research bodies (2)

1. **[Commonwealth Scientific and Industrial Research Organisation](https://md.research.elamur.ai/free/en/government/commonwealth-scientific-and-industrial-research-organisation/)**Government body · Canberra, [Australia](https://md.research.elamur.ai/free/en/countries/australia/)*17 works · 2,064 citations*
2. **[Defence Science and Technology Group](https://md.research.elamur.ai/free/en/government/defence-science-and-technology-group/)**Government body · Canberra, [Australia](https://md.research.elamur.ai/free/en/countries/australia/)*2 works · 3 citations*

## Works in our library (40)

Works of its institutions, the most cited first.

1. [**Embedding Entities and Relations for Learning and Inference in Knowledge Bases arXiv:1412.6575**Bishan Yang, Wen-tau Yih, Xiaodong He, et al.*2014 · 2,370 citations*](https://md.research.elamur.ai/free/en/papers/yang-2014-embedding-entities-relations-learning-inference/)
2. **[Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments](https://md.research.elamur.ai/free/en/papers/anderson-2017-vision-language-navigation-interpreting-visually/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Peter Anderson, Qi Wu, Damien Teney, et al.*2017 · 1,414 citations*
3. **[A Comprehensive Overview of Large Language Models](https://md.research.elamur.ai/free/en/papers/naveed-2023-comprehensive-overview-large-language-models/) [ACM Transactions on Intelligent Systems and Technology](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-intelligent-systems-and-technology/)**Humza Naveed, Asad Ullah Khan, Shi Qiu, et al.*2023 · 1,287 citations*
4. [**SPICE: Semantic Propositional Image Caption Evaluation arXiv:1607.08822**Peter Anderson, Basura Fernando, Mark Johnson, et al.*2016 · 289 citations*](https://md.research.elamur.ai/free/en/papers/anderson-2016-spice-semantic-propositional-image-caption/)
5. **[Guided Open Vocabulary Image Captioning with Constrained Beam Search](https://md.research.elamur.ai/free/en/papers/anderson-2017-guided-open-vocabulary-image-captioning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Peter Anderson, Basura Fernando, Mark Johnson, et al.*2017 · 286 citations*
6. **[Humanity's Last Exam](https://md.research.elamur.ai/free/en/papers/phan-2025-humanity-s-last-exam/) [Nature](https://md.research.elamur.ai/free/en/venues/nature/)**Long Phan, Alice Gatti, Ziwen Han, et al.*2025 · 256 citations*
7. [**Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and Toxicity arXiv:2301.12867**Terry Yue Zhuo, Yujin Huang, Chunyang Chen, et al.*2023 · 249 citations*](https://md.research.elamur.ai/free/en/papers/zhuo-2023-red-teaming-chatgpt-jailbreaking-bias/)
8. [**BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions arXiv:2406.15877**Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, et al.*2024 · 176 citations*](https://md.research.elamur.ai/free/en/papers/zhuo-2024-bigcodebench-benchmarking-code-generation-diverse/)
9. **[DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text](https://md.research.elamur.ai/free/en/papers/su-2023-detectllm-leveraging-log-rank-information/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jinyan Su, Terry Zhuo, Di Wang, et al.*2023 · 172 citations*
10. **[Cross-Target Stance Classification with Self-Attention Networks](https://md.research.elamur.ai/free/en/papers/xu-2018-cross-target-stance-classification-self/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chang Xu, Cecile Paris, Surya Nepal, et al.*2018 · 166 citations*
11. [**InternVideo: General Video Foundation Models via Generative and Discriminative Learning arXiv:2212.03191**Yi Wang, Kunchang Li, Yizhuo Li, et al.*2022 · 144 citations*](https://md.research.elamur.ai/free/en/papers/wang-2022-internvideo-general-video-foundation/)
12. **[NNE: A Dataset for Nested Named Entity Recognition in English Newswire](https://md.research.elamur.ai/free/en/papers/ringland-2019-nne-dataset-nested-named-entity/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Nicky Ringland, Xiang Dai, Ben Hachey, et al.*2019 · 87 citations*
13. [**UniMorph 4.0: Universal Morphology**Khuyagbaatar Batsuren, Omer Goldman, Salam Khalifa*2022 · 82 citations*](https://md.research.elamur.ai/free/en/papers/batsuren-2022-unimorph-4/)
14. [**Paths-over-Graph: Knowledge Graph Empowered Large Language Model Reasoning arXiv:2410.14211**Xingyu Tan, Xiaoyang Wang, Qing Liu, et al.*2024 · 80 citations*](https://md.research.elamur.ai/free/en/papers/tan-2024-paths-over-graph-knowledge-graph/)
15. **[The Devil in Linear Transformer](https://md.research.elamur.ai/free/en/papers/qin-2022-devil-linear-transformer/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhen Qin, Xiaodong Han, Weixuan Sun, et al.*2022 · 67 citations*
16. **[Classifying Speech Acts using Verbal Response Modes](https://md.research.elamur.ai/free/en/papers/lampert-2006-classifying-speech-acts-verbal-response/) [Annual Workshop of the Australasian Language Technology Association (ALTA)](https://md.research.elamur.ai/free/en/venues/alta/)**Andrew Lampert, Robert Dale, Cécile Paris*2006 · 32 citations*
17. **[CAMEL-Bench: A Comprehensive Arabic LMM Benchmark](https://md.research.elamur.ai/free/en/papers/ghaboura-2025-camel-bench-comprehensive-arabic-lmm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sara Ghaboura, Ahmed Heakl, Omkar Thawakar, et al.*2025 · 22 citations*
18. **[VISA: Retrieval Augmented Generation with Visual Source Attribution](https://md.research.elamur.ai/free/en/papers/ma-2025-visa-retrieval-augmented-generation-visual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xueguang Ma, Shengyao Zhuang, Bevan Koopman, et al.*2025 · 22 citations*
19. [**Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models arXiv:2401.00788**Terry Yue Zhuo, Armel Zebaze, Nitchakarn Suppattarachai, et al.*2024 · 21 citations*](https://md.research.elamur.ai/free/en/papers/zhuo-2024-astraios-parameter-efficient-instruction-tuning/)
20. **[Fann or Flop: A Multigenre, Multiera Benchmark for Arabic Poetry Understanding in LLMs](https://md.research.elamur.ai/free/en/papers/ghallabi-2025-fann-or-flop-multigenre-multiera/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wafa Al Ghallabi, Ritesh Thawkar, Sara Ghaboura, et al.*2025 · 16 citations*
21. [**Sparks of Science: Hypothesis Generation Using Structured Paper Data arXiv:2504.12976**Charles O'Neill, Tirthankar Ghosal, Roberta R\uaileanu, et al.*2025 · 16 citations*](https://md.research.elamur.ai/free/en/papers/o-neill-2025-sparks-science-hypothesis-generation-using/)
22. **[What Causes the Failure of Explicit to Implicit Discourse Relation Recognition?](https://md.research.elamur.ai/free/en/papers/liu-2024-what-causes-failure-explicit-implicit/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Wei Liu, Stephen Wan, Michael Strube*2024 · 12 citations*
23. [**Role-Play Paradox in Large Language Models: Reasoning Performance Gains and Ethical Dilemmas arXiv:2409.13979**Jinman Zhao, Zifan Qian, Linbo Cao, et al.*2024 · 9 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2024-role-play-paradox-large-language/)
24. **[Designing Speech Technologies for Australian Aboriginal English: Opportunities, Risks and Participation](https://md.research.elamur.ai/free/en/papers/hutchinson-2025-designing-speech-technologies-australian-aboriginal/) [ACM Conference on Fairness, Accountability, and Transparency (FAccT)](https://md.research.elamur.ai/free/en/venues/acm-conference-on-fairness-accountability-and-transparency-facct/)**Ben Hutchinson, Celeste Rodriguez Louro, Glenys Collard, et al.*2025 · 6 citations*
25. **[Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models](https://md.research.elamur.ai/free/en/papers/huang-2025-embedding-informed-adaptive-retrieval-augmented/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Chengkai Huang, Yu Xia, Rui Wang, et al.*2025 · 5 citations*

[See all 40 works in Canberra →](https://md.research.elamur.ai/free/en/agglomerations/canberra/works/)

## Works by year

### 2020s

[**2026** 11 papers](https://md.research.elamur.ai/free/en/agglomerations/canberra/year/2026/) · [**2025** 9 papers](https://md.research.elamur.ai/free/en/agglomerations/canberra/year/2025/) · [**2024** 5 papers](https://md.research.elamur.ai/free/en/agglomerations/canberra/year/2024/) · [**2023** 3 papers](https://md.research.elamur.ai/free/en/agglomerations/canberra/year/2023/) · [**2022** 3 papers](https://md.research.elamur.ai/free/en/agglomerations/canberra/year/2022/)

### 2010s

[**2019** 1 paper](https://md.research.elamur.ai/free/en/agglomerations/canberra/year/2019/) · [**2018** 1 paper](https://md.research.elamur.ai/free/en/agglomerations/canberra/year/2018/) · [**2017** 4 papers](https://md.research.elamur.ai/free/en/agglomerations/canberra/year/2017/) · [**2016** 1 paper](https://md.research.elamur.ai/free/en/agglomerations/canberra/year/2016/) · [**2014** 1 paper](https://md.research.elamur.ai/free/en/agglomerations/canberra/year/2014/)

### 2000s

[**2006** 1 paper](https://md.research.elamur.ai/free/en/agglomerations/canberra/year/2006/)

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 30 The field of science this work belongs to (OpenAlex fields).[Computer Science · 40 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 38 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 19 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Arts and Humanities · 31 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 31 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Control and Systems Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/control-and-systems-engineering/) · [Social Sciences · 4 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Safety Research · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Information Systems · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Software · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/software/) · [Biochemistry, Genetics and Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/) · [Philosophy · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/philosophy/)+15 more

🧭 Topics 19 Research subjects and languages the work is about.[Vision & language · 4 works](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Language models & pretraining · 8 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Knowledge graphs & ontologies · 3 works](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Bias, fairness & safety · 2 works](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [English · 5 works](https://md.research.elamur.ai/free/en/topics/english/) · [Information retrieval & search · 2 works](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Evaluation & benchmarks · 4 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Speech act theory · 1 work](https://md.research.elamur.ai/free/en/topics/speech-act-theory/) · [Named entity recognition · 1 work](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) · [Morphology · 1 work](https://md.research.elamur.ai/free/en/topics/morphology/) · [Semitic languages · 2 works](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Reasoning · 3 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Discourse analysis · 1 work](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [Speech & spoken language · 2 works](https://md.research.elamur.ai/free/en/topics/speech/)+4 more

💡 Concepts 4 Key ideas and methods explained on our concept pages.[Large language models · 1 work](https://md.research.elamur.ai/free/en/concepts/large-language-models/) · [Knowledge graph · 1 work](https://md.research.elamur.ai/free/en/concepts/knowledge-graph/) · [Knowledge representation and reasoning · 1 work](https://md.research.elamur.ai/free/en/concepts/knowledge-representation/) · [Natural language processing · 1 work](https://md.research.elamur.ai/free/en/concepts/natural-language-processing/)

Agglomerations: the GHSL Urban Centre Database 2025; populations: the GHSL functional urban areas 2015 (urban centre and commuting zone), else the urban centre, as each page says (European Commission, Joint Research Centre, CC BY 4.0). An institution belongs to the urban centre its coordinates (ROR, OpenAlex) fall in, or one within 5 km. Land: Natural Earth.

- [← back to](https://md.research.elamur.ai/free/en/countries/australia/) — Australia

Updated 2 November 2026