Jablonka Lab (Lab for AI for Materials) @jablonkagroup.bsky.social · 20/05/2025Training large language models for chemistry is bottlenecked by one critical problem: there is no unified dataset that connects all chemical domains. 131
Jablonka Lab (Lab for AI for Materials) @jablonkagroup.bsky.social · 28/04/2025We're excited to present our posters today at the AI4Mat workshop at #ICLR25 #AI4Mat #Singapore 000
Jablonka Lab (Lab for AI for Materials) @jablonkagroup.bsky.social · 25/04/2025LAMA Lab at ICLR in Singapore! #iclr2025 #singapore #AI #ML #chemistry #iclr 120
Jablonka Lab (Lab for AI for Materials) @jablonkagroup.bsky.social · 21/04/2025we're ready for spring! team building is always more fun when it's outside ☀️ 010
Jablonka Lab (Lab for AI for Materials) @jablonkagroup.bsky.social · 18/03/2025Day 1 of the Foundation Models workshop hosted by the ELLIS Winter School! 000
Jablonka Lab (Lab for AI for Materials) @jablonkagroup.bsky.social · 11/03/2025🚀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 111
Jablonka Lab (Lab for AI for Materials) @jablonkagroup.bsky.social · 06/03/2025🚀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... 110
Jablonka Lab (Lab for AI for Materials) @jablonkagroup.bsky.social · 27/11/2024Are 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 1114