Yann LeCun

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.

A foundational computer-vision researcher whose work on representations and architectures still shapes modern pretraining and perception systems.

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.

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.

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.

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.