Training large language models for chemistry is bottlenecked by one critical problem: there is no unified dataset that connects all chemical domains.

We're excited to present our posters today at the AI4Mat workshop at #ICLR25 #AI4Mat #Singapore

LAMA Lab at ICLR in Singapore! #iclr2025 #singapore #AI #ML #chemistry #iclr

we're ready for spring! team building is always more fun when it's outside ☀️

Day 1 of the Foundation Models workshop hosted by the ELLIS Winter School!

🚀ChemBench just leveled up! We’re thrilled to announce the latest release of ChemBench—now smarter and smoother! Dive into benchmarking any chemistry AI model with our revamped framework, designed for flexibility and ease. #ChemistryAI #MachineLearning #OpenScience #Innovation

🚀Our revised MaCBench paper is now on arxiv! arxiv.org/pdf/2411.16955 Key updates! 🌟Robust reproducibility: 5x experiment runs + error bars for statistical confidence 🌟Full dataset & leaderboard: Now live on HuggingFace with model comparisons huggingface.co/spaces/jablo...

Are Vision Language Models ready for scientific research? 🧑‍🔬🧪 We compared leading VLLMs on the three pillars of chemical and material science discovery: data extraction, lab experimentation and data interpretation. arxiv.org/abs/2411.16955