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.
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
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Fields, topics and concepts
📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksInterpretability · 1 work
Works by year
2020s
Papers
- 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. - 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.
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