Large language models can write informal proofs, translate them into formal ones, and achieve SoTA performance in proving competition-level maths problems!
LM-generated informal proofs are sometimes more useful than the human ground truth 🤯
Preprint: arxiv.org/abs/2210.12283
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Thrilled to announce @MistralAI's new formal math team following our $2B funding round.
AI for formal math researchers wanted. We offer:
- Work on creating the state-of-the-art prover, autoformalizer, and automatic proof agent all in one model
- World class team (with
Officially submitted my thesis very recently. Extremely grateful to @Mateja_Jamnik@WendaLi8 for the three years of excellent and patient supervision.
Just like how Cambridge terms work, each week in the PhD feels very long, but the entire thing feels like an incredibly short
Has been to one of the workshops on LLMs in Warsaw. Frankly it puts almost all the UK ones in shame. Open and deep exchange of bold ideas makes #IDEAS one of the best institutes to collaborate with. Do not destroy a powerhouse of European innovation.
Many high-quality AI4Maths papers were submitted to ICLR and NeurIPS workshop this year!
My first research project was in summer 2018 with @Yuhu_ai_@jimmybajimmyba and we saw reviews like "this is of limited novelty to a niche research field".
So damn encouraging.
Wrote a summary of my thoughts on the plane back from NeurIPS: albertqjiang.github.io/thoughts/
That's the serious stuff. Will do a thread of silly things later.
Introducing Multilingual Mathematical Autoformalization (MMA): arxiv.org/abs/2311.03755
A dataset of 332K formal-informal parallel datapoints from Isabelle AFP + Lean4 Mathlib4, informalised by GPT-4.
Dataset size and multilinguality help autoformalization a lot! See🧵:
We are announcing €600M in Series B funding for our first anniversary. We are grateful to our new and existing investors for their continued confidence and support for our global expansion. This will accelerate our roadmap as we continue to bring frontier AI into everyone’s
The Neurips Machine Learning for Theorem Proving tutorial is happening on Monday at 1:45 PM! …earning-for-theorem-proving.github.io
Come hear Kaiyu, Emily, and I give intro talks if you're a machine learning practitioner interested in maths. We also have a fantastic panel moderated by Zhangir!
