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Daking Rai

Daking Rai has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining, Interpretability; often with Yilun Zhou, Ziyu Yao, Abulhair Saparov.

2 papers in our library · 2024–2025

OpenAlex · ORCID · h-index 4 · 20 works · 44 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 54 times in our library · ⭐ Paper Stars ranking: #9286

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models (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 (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.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 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 →.

Updated

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