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Tri Dao — most-cited papers & profile · Large Language Models
← authors
·
overview
Tri Dao
17
papers ·
291
citations ·
17
h-index
Princeton University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
RedPajama: an Open Dataset for Training Large Language Models
2024 · 18 citations
The Mamba in the Llama: Distilling and Accelerating Hybrid Models
2024 · 2 citations
BitDelta: Your Fine-Tune May Only Be Worth One Bit
2024 · 1 citations
Introspective Diffusion Language Models
2026
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models
2025
SonicMoE: Accelerating MoE with IO and Tile-aware Optimizations
2025
StarCoder: may the source be with you!
2023
Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time
2023
Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads
2024
StarCoder 2 and The Stack v2: The Next Generation
2024
Top co-authors
Junxiong Wang
· 3
Mayank Mishra
· 3
Alexander M. Rush
· 2
Alex Gu
· 2
Arjun Guha
· 2
Armel Zebaze
· 2
Ben Athiwaratkun
· 2
Carlos Muñoz Ferrandis
· 2
Carolyn Jane Anderson
· 2
Ce Zhang
· 2
Chenghao Mou
· 2
Christopher Akiki
· 2
Topics
Efficiency
Training Techniques
Model Architecture
Code
Fine-Tuning
Large
Language
Models
LLMs
The