๐ Introducing MA-LoT Theorem Framework: An open-source multi-agent framework utilizing the Long Chain-of-Thought to boost automated theorem-proving๐
โ Achieving 61.07% accuracy rate under pass@32 on MiniF2F-Test outperforming Goedel-Prover, Lean_STP and DeepSeek-Prover-V1.5
๐ฅ Proposing LoT-TL training-inference framework to train LLMs with field-specific Long CoT ability.
๐ค Composing the multi-agent system that combines the advantage of both whole-proof generation and tree-search.
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Paper: https://t.co/J9m5i4lNf6
Website: https://t.co/OjQ9P0fYAN
Huggingface: https://t.co/tXsLlxnfvb
Github repo: https://t.co/PZZqk9wAo2
Wonderful collaborators: @rui4research@TheTallEric@shizhediao@RenjiePi@mircale2003@JunjieHu12
Presenting our LISA paper at NeurIPS 2024๐
- Dec. 13 at 4:30 pm (Friday afternoon)
- West Ballroom A-D #5708
Fine-tuning 7B in a single GPUโ Randomly freezing ~90% self-attention layers every 5-20 iterations allows that!๐It is
- 3x Fast
- Memory-efficient
- Good at memorization, even better than full-parameter training
paper: https://t.co/06FVecNMYL
BREAKING NEWS
The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton โfor foundational discoveries and inventions that enable machine learning with artificial neural networks.โ
๐ Excited to introduce TheoremLlama!
๐ Our new framework transforms general-purpose LLMs into Lean4 experts. Achieving 36.48% and 33.61% on MiniF2F-Valid and Test, surpassing the GPT-4 baseline of 22.95% and 25.41%.
๐ Check out our open-sourced Open Boostrapped Theorems (OBT) ๐๐dataset and model checkpoints. Dive into the future of formal theorem proving!
#AI #MachineLearning #Lean4 #TheoremProving #Llama
๐Paper: https://t.co/nkoqGRkZdg
๐ Learn more:
GitRepo: https://t.co/53YH8dQFJT
Model Ckpt: https://t.co/jRTATXQ9F8
OBT Dataset: https://t.co/57vR5tn4ya
it's 1:28AM and I just finished this abomination. fully illustrated toy calculation of 1 transformer layer.
why would I make this? idk ask my thesis advisor, "not everyone knows how a transformer works, you have to give an example"