--- title: "Bryan Kian Hsiang Low — author profile and papers in our library" description: "Bryan Kian Hsiang Low, National University of Singapore: 2 papers on Elamur Research (2023–2026), h-index 17 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/bryan-kian-hsiang-low/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/bryan-kian-hsiang-low/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Bryan Kian Hsiang Low # Bryan Kian Hsiang Low Bryan Kian Hsiang Low has 2 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Finale Doshi-Velez](https://md.research.elamur.ai/free/en/authors/finale-doshi-velez/). 2 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5030304400) · [ORCID](https://orcid.org/0000-0003-2808-451X) · [**h-index 17**](https://openalex.org/authors/A5030304400) · [158 works](https://openalex.org/works?filter=author.id:A5030304400) · [792 citations](https://openalex.org/works?filter=author.id:A5030304400&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/bryan-kian-hsiang-low/#papers) · [🔗 Cited 97 times in our library](https://md.research.elamur.ai/free/en/authors/bryan-kian-hsiang-low/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8587](https://md.research.elamur.ai/free/en/paper-stars/page/86/#star-8587) 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=Bryan+Kian+Hsiang+Low) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Bryan+Kian+Hsiang+Low) · [dblp](https://dblp.org/search?q=Bryan+Kian+Hsiang+Low) · [ACL Anthology](https://aclanthology.org/search/?q=Bryan+Kian+Hsiang+Low) ## Affiliations [🎓**National University of Singapore** Singapore · Singapore 2013–2026 · 70 papers*current*](https://md.research.elamur.ai/free/en/universities/national-university-of-singapore/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## 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 1 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/bryan-kian-hsiang-low/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/bryan-kian-hsiang-low/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Goat: Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic Tasks](https://md.research.elamur.ai/free/en/papers/liu-2023-goat-fine-tuned-llama-outperforms/)** *(2023 · 65 citations)* Even strong large language models such as GPT-4 make frequent mistakes in elementary integer arithmetic. Their accuracy on multiplying or dividing large numbers falls close to zero. The authors build Goat by instruction-tuning LLaMA on about one million synthetic arithmetic examples generated with a Python script.… 2. **[Prompting the Unknown: Understanding Response Uncertainty in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-prompting-unknown-understanding-response-uncertainty/)** *(2026 · 3 citations)* LLM applications in sensitive fields such as medicine or finance rely on carefully designed prompts, but it is unclear how the content of a prompt affects how stable and trustworthy the model's answers are. ## All works 4 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. [**Goat: Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic Tasks arXiv:2305.14201**Tiedong Liu, Bryan Kian Hsiang Low*2023 · 65 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-goat-fine-tuned-llama-outperforms/) 2. **[ReasonIR: Training Retrievers for Reasoning Tasks ↗](https://arxiv.org/abs/2504.20595) arXiv (Cornell University) · no summary yet**Rulin Shao et al.*2025 · 41 citations* 3. **[CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery ↗](https://arxiv.org/abs/2604.01658) arXiv:2604.01658 · no summary yet**Ao Qu et al.*2026 · 9 citations* 4. **[Prompting the Unknown: Understanding Response Uncertainty in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-prompting-unknown-understanding-response-uncertainty/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ze Yu Zhang, Arun Verma, Finale Doshi-Velez, et al.*2026 · 3 citations* ## Co-authors here 1 co-author with a page, the most papers together first. - [Finale Doshi-Velez](https://md.research.elamur.ai/free/en/authors/finale-doshi-velez/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ## Cited by Papers of our library cite their works 97 times (of the 149,439 papers whose bibliographies we read); [21 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/bryan-kian-hsiang-low/cited-by/). Updated 2 November 2026