--- title: "Adhiguna Kuncoro — author profile and papers in our library" description: "Adhiguna Kuncoro, Google DeepMind: 2 papers on Elamur Research (2018–2022), h-index 17 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/adhiguna-kuncoro/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/adhiguna-kuncoro/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Adhiguna Kuncoro # Adhiguna Kuncoro Adhiguna Kuncoro has 2 papers in our library, in 2018–2022, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Syntax & grammar formalisms](https://md.research.elamur.ai/free/en/topics/syntax-grammar/); often with [Chris Dyer](https://md.research.elamur.ai/free/en/authors/chris-dyer/), [Phil Blunsom](https://md.research.elamur.ai/free/en/authors/phil-blunsom/), [Dani Yogatama](https://md.research.elamur.ai/free/en/authors/dani-yogatama/). 2 papers in our library · 2018–2022 [OpenAlex](https://openalex.org/A5069646529) · [**h-index 17**](https://openalex.org/authors/A5069646529) · [42 works](https://openalex.org/works?filter=author.id:A5069646529) · [2,046 citations](https://openalex.org/works?filter=author.id:A5069646529&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/adhiguna-kuncoro/#papers) · [🔗 Cited 1,544 times in our library](https://md.research.elamur.ai/free/en/authors/adhiguna-kuncoro/cited-by/) · [7 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5103](https://md.research.elamur.ai/free/en/paper-stars/page/52/#star-5103) 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=Adhiguna+Kuncoro) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Adhiguna+Kuncoro) · [dblp](https://dblp.org/search?q=Adhiguna+Kuncoro) · [ACL Anthology](https://aclanthology.org/search/?q=Adhiguna+Kuncoro) ## Affiliations [🏢**Google DeepMind** London · United Kingdom 2019–2026 · 15 papers*current*](https://md.research.elamur.ai/free/en/companies/google-deepmind/) · [🎓**University of Oxford** Oxford · United Kingdom 2018–2022 · 10 papers](https://md.research.elamur.ai/free/en/universities/university-of-oxford/) · [🏢**Google** Mountain View · United States 2016–2021 · 7 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 2016–2017 · 6 papers](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🔬**Allen Institute for Artificial Intelligence** Seattle · United States 2021–2022 · 2 papers](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Syntax & grammar formalisms · 1 work](https://md.research.elamur.ai/free/en/topics/syntax-grammar/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/adhiguna-kuncoro/year/2022/) ### 2010s [**2018** 1 paper](https://md.research.elamur.ai/free/en/authors/adhiguna-kuncoro/year/2018/) ## Papers The most cited first (OpenAlex and our library). 1. **[LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better](https://md.research.elamur.ai/free/en/papers/kuncoro-2018-lstms-can-learn-syntax-sensitive/)** *(2018 · 208 citations)* Linzen et al. (2016) used subject–verb number agreement as a probe of syntactic competence. The hard cases contain intervening "attractor" nouns whose number differs from the subject. On that basis they argued that LSTM language models fail to capture long-range syntactic dependencies. Kuncoro et al. rerun this test… 2. **[Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale](https://md.research.elamur.ai/free/en/papers/sartran-2022-transformer-grammars-augmenting-transformer-language/)** *(2022 · 72 citations)* Large Transformer LMs perform strongly without any explicit model of hierarchical syntax. It was unclear whether recursive syntactic composition, which helped small LSTM-based RNNGs, still adds value for Transformers at larger scale. The authors introduce Transformer Grammars (TGs), built on Transformer-XL, which… ## All works 9 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[Scaling Language Models: Methods, Analysis & Insights from Training Gopher ↗](https://arxiv.org/abs/2112.11446) arXiv:2112.11446 · no summary yet**Jack W. Rae et al.*2021 · 928 citations* 2. **[Recurrent Neural Network Grammars ↗](https://aclanthology.org/N16-1024/) Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Chris Dyer et al.*2016 · 770 citations* 3. **[LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better](https://md.research.elamur.ai/free/en/papers/kuncoro-2018-lstms-can-learn-syntax-sensitive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Adhiguna Kuncoro, Chris Dyer, John Hale, et al.*2018 · 208 citations* 4. **[Finding syntax in human encephalography with beam search ↗](https://aclanthology.org/P18-1254/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**John Hale et al.*2018 · 182 citations* 5. **[Unsupervised Recurrent Neural Network Grammars ↗](https://aclanthology.org/N19-1114/) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yet**Yoon Kim et al.*2019 · 168 citations* 6. **[IndoNLG: Benchmark and Resources for Evaluating Indonesian Natural Language Generation ↗](https://aclanthology.org/2021.emnlp-main.699/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Samuel Cahyawijaya et al.*2021 · 150 citations* 7. **[What Do Recurrent Neural Network Grammars Learn About Syntax? ↗](https://arxiv.org/abs/1611.05774) arXiv:1611.05774 · no summary yet**Adhiguna Kuncoro et al.*2016 · 83 citations* 8. **[Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale](https://md.research.elamur.ai/free/en/papers/sartran-2022-transformer-grammars-augmenting-transformer-language/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Laurent Sartran, Samuel Barrett, Adhiguna Kuncoro, et al.*2022 · 72 citations* 9. **[Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser ↗](https://aclanthology.org/D16-1180/) Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yet**Adhiguna Kuncoro et al.*2016 · 57 citations* ## Co-authors here 7 co-authors with a page, the most papers together first. - [Chris Dyer](https://md.research.elamur.ai/free/en/authors/chris-dyer/) ×2 - [Phil Blunsom](https://md.research.elamur.ai/free/en/authors/phil-blunsom/) ×2 - [Dani Yogatama](https://md.research.elamur.ai/free/en/authors/dani-yogatama/) - [John Hale](https://md.research.elamur.ai/free/en/authors/john-hale/) - [Laurent Sartran](https://md.research.elamur.ai/free/en/authors/laurent-sartran/) - [Miloš Stanojević](https://md.research.elamur.ai/free/en/authors/milos-stanojevic/) - [Stephen Clark](https://md.research.elamur.ai/free/en/authors/stephen-clark/) ## 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/) ×2: [ACL 2018](https://md.research.elamur.ai/free/en/venues/acl/2018/) - Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ×2 - Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ×2 - [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/): [Transactions of the Association for Computational Linguistics (TACL) 2022](https://md.research.elamur.ai/free/en/venues/tacl/2022/) ## Cited by Papers of our library cite their works 1,544 times (of the 149,439 papers whose bibliographies we read); [308 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/adhiguna-kuncoro/cited-by/). Updated 30 October 2026