3 sources
A strong person to follow if you care about open-weight language models and retrieval-heavy NLP systems, especially the line from RoBERTa and RAG into LLaMA-era model development.
Start HereThinking Machines Lab
Researcher Profile
Editor reviewedGautier Izacard
Open-weight foundation models (LLaMA)
Researcher across retrieval-augmented generation and the LLaMA model line, now at Microsoft AI
A stronger page than the old stub because his work cuts across two important threads in modern language models: early retrieval-augmented generation systems like Atlas and the later LLaMA open-weight model line.
Organizations
Microsoft AIMeta
Labs
About This Page
This profile is meant to help you get oriented quickly: why this researcher matters, what to read first, and where to explore next.
Known For
The ideas, systems, and research directions that make this person worth knowing.
01
Retrieval-augmented generation
02
Atlas
03
LLaMA
04
Open-weight foundation models (LLaMA)
05
LLaMA: Open and Efficient Foundation Language Models
06
Meta
Start Here
Canonical papers, project pages, or repositories that anchor this profile.
Related Researchers
People worth exploring next because they share topics, labs, or source material with this profile.
3 sources
One of the cleaner bridge figures between the vision-transformer era and the open-weight LLaMA era: his public paper trail runs from influential self-supervised vision work into the first LLaMA release, Llama 2, and Code Llama.
Start HereHugo Touvron at Meta
4 sources
A strong page to keep because he sits on both sides of a major shift in open models: he appears on Meta's LLaMA 2 paper and then on Mistral 7B and Mixtral, which makes him part of the early handoff from the first LLaMA wave into Mistral's open-weight model line.
Start HereMistral AI
3 sources
Worth upgrading because he is present across multiple major generations of the LLaMA family, which makes his page more useful as a stable thread through Meta's open-model program than as a one-paper author stub.
3 sources
Important for the open-weight frontier-model story because her paper trail runs through both the original LLaMA releases and the early Mistral efficiency push.
3 sources
Important for the code-model side of the open-weight ecosystem, especially where general-purpose LLaMA work turns into stronger coding systems.