--- title: "Daking Rai — author profile and papers — Elamur Research" description: "Daking Rai: 2 papers on Elamur Research (2024–2025), h-index 4 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/daking-rai/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/daking-rai/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Daking Rai # Daking Rai Daking Rai has 2 papers in our library, in 2024–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Interpretability](https://md.research.elamur.ai/free/en/topics/interpretability/); often with [Yilun Zhou](https://md.research.elamur.ai/free/en/authors/yilun-zhou/), [Ziyu Yao](https://md.research.elamur.ai/free/en/authors/ziyu-yao/), [Abulhair Saparov](https://md.research.elamur.ai/free/en/authors/abulhair-saparov/). 2 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5033331273) · [ORCID](https://orcid.org/0009-0003-3769-4974) · [**h-index 4**](https://openalex.org/authors/A5033331273) · [20 works](https://openalex.org/works?filter=author.id:A5033331273) · [44 citations](https://openalex.org/works?filter=author.id:A5033331273&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/daking-rai/#papers) · [🔗 Cited 54 times in our library](https://md.research.elamur.ai/free/en/authors/daking-rai/cited-by/) · [⭐ Paper Stars ranking: #9286](https://md.research.elamur.ai/free/en/paper-stars/page/93/#star-9286) 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=Daking+Rai) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Daking+Rai) · [dblp](https://dblp.org/search?q=Daking+Rai) · [ACL Anthology](https://aclanthology.org/search/?q=Daking+Rai) ## Affiliations [🎓**George Mason University** Fairfax · United States 2022–2025 · 8 papers](https://md.research.elamur.ai/free/en/universities/george-mason-university/) 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 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Interpretability · 1 work](https://md.research.elamur.ai/free/en/topics/interpretability/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/daking-rai/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/daking-rai/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models](https://md.research.elamur.ai/free/en/papers/rai-2024-practical-review-mechanistic-interpretability-transformer/)** *(2024 · 58 citations)* This survey targets a gap in mechanistic interpretability (MI), the line of work that tries to explain transformer-based language models by reverse-engineering their internal computations into mechanisms people can understand. 2. **[All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From Other Tokens](https://md.research.elamur.ai/free/en/papers/mamidanna-2025-all-one-llms-solve-mental/)** *(2025 · 6 citations)* The paper asks how much of a transformer's theoretical capacity for cross-token communication LLMs actually use when they do "mental math": one-token answers to two- or three-operand arithmetic, with no chain-of-thought. ## Co-authors here 4 co-authors with a page, the most papers together first. - [Yilun Zhou](https://md.research.elamur.ai/free/en/authors/yilun-zhou/) ×2 - [Ziyu Yao](https://md.research.elamur.ai/free/en/authors/ziyu-yao/) ×2 - [Abulhair Saparov](https://md.research.elamur.ai/free/en/authors/abulhair-saparov/) - [Shi Feng](https://md.research.elamur.ai/free/en/authors/shi-feng/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) ## Cited by Papers of our library cite their works 54 times (of the 149,439 papers whose bibliographies we read); [20 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/daking-rai/cited-by/). Updated 3 November 2026