All Posts

MiniVLA: A Better VLA with a Smaller Footprint

Reducing OpenVLA's parameters 7x, and improving the input and output representation space.

Compiled by Ruhana Azam

All the great work from the Stanford AI Lab accepted at NeurIPS, all in one place.

How language model alignment impacts performance along three axes of global representation

All the great work from the Stanford AI Lab accepted at EMNLP 2024, all in one place.

Fine-tuning LLaMa-2, Gemma, Mixtral for Vietnamese and evaluation Vietnamese large language models across 10 tasks with 31 distinct metrics

All the great work from the Stanford AI Lab accepted at ICLR 2024, all in one place.

Compiled by Judy Hanwen Shen & John Hewitt

A list of our excellent students graduating roughly in summer 2024.

Clover paradigm checks consistencies among code, docstrings and annotations and enforces correctness in AI-generated code.

Compiled by Ruhana Azam

All the great work from the Stanford AI Lab accepted at NeurIPS, all in one place.

A new interpretability method for training neural networks with sparse, discrete, and controllable hidden states.