Zulip Chat Archive
Stream: Machine Learning for Theorem Proving
Topic: LLMs for Mathematics
Anh Nguyễn (Feb 05 2025 at 07:11):
Could anyone please tell me about the recent LLMs for mathematics
Lars Ericson (Feb 05 2025 at 12:28):
https://blog.eleuther.ai/llemma/
https://research.google/blog/minerva-solving-quantitative-reasoning-problems-with-language-models/
https://toloka.ai/blog/u-math/
Notification Bot (Feb 06 2025 at 07:35):
A message was moved here from #Machine Learning for Theorem Proving > Simple but hard puzzler for LLMs by Jason Rute.
Notification Bot (Feb 06 2025 at 07:35):
A message was moved here from #Machine Learning for Theorem Proving > Simple but hard puzzler for LLMs by Jason Rute.
Jason Rute (Feb 06 2025 at 07:41):
@Anh Nguyễn This is much too vague a question. For one there is a lot of stuff out there. For another, the field is rapidly evolving. If you mean LLMs for formal math like Lean, Coq, Isabelle, you may want to see this survey article. https://arxiv.org/abs/2412.16075
For informal math, there are recent models like o1, o3, QWQ, DeepSeek-R1, and Gemini Flash Thinking. Many are free to use (or at least some versions are free to use).
Ralph Furman (Feb 13 2025 at 07:32):
To add to the informal side, you can try all of those models side by side for free at sugaku, eg: https://sugaku.net/qna/5afa266a-7fb5-4475-af9d-3d2b021d5c67/
Last updated: May 02 2025 at 03:31 UTC