---
title: "Tri Dao — papers of 2024 — 3 papers, the most cited first"
description: "Tri Dao — papers of 2024: 3 papers on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/tri-dao/year/2024/"
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# Tri Dao — papers of 2024 — 3 papers, the most cited first

3 papers · [all years of Tri Dao](https://md.research.elamur.ai/free/en/authors/tri-dao/#years)

**[FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision](https://md.research.elamur.ai/free/en/papers/shah-2024-flashattention-3-fast-accurate-attention/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Jay Shah, Ganesh Bikshandi, Ying Zhang, et al.*2024 · 400 citations*

- [Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads arXiv:2401.10774](https://md.research.elamur.ai/free/en/papers/cai-2024-medusa-simple-llm-inference-acceleration/) — Tianle Cai, Yuhong Li, Zhengyang Geng, et al. · 2024 · 278 citations
- [An Empirical Study of Mamba-based Language Models arXiv:2406.07887](https://md.research.elamur.ai/free/en/papers/waleffe-2024-empirical-study-mamba-based-language/) — Roger Waleffe, Wonmin Byeon, Duncan Riach, et al. · 2024 · 67 citations