🚨 #Benchmark paper alert! 🚨

@andreniyongabo.bsky.social, Kangming Li, @adjiboussodieng.bsky.social and @jae3goals.bsky.social pave the way for #benchmarking #LLMs for materials property prediction with their LLM4Mat-Bench #MachineLearningScienceandTechnology
Read the paper here: bit.ly/43nxfnW

I'm excited to share that I’m starting a new position as a Research Scientist Intern at IBM Research AI, where I will spend the summer working on Large-scale Language Modeling! Looking forward to this exciting journey 🙏

#NewPaper We revisit Shannon's mutual information, highlight its shortcomings, and propose a novel alternative to it, called the Vendi Information Gain (VIG), using the Vendi Score. #InformationTheory #Diversity
By: Quan Nguyen & @adjiboussodieng.bsky.social
Link to paper: arxiv.org/abs/2505.09007

I couldn't think of a greater way to start the week: "LLM4Mat-Bench: Benchmarking Large Language Models for Materials Property Prediction" (@adjiboussodieng.bsky.social and @jae3goals.bsky.social) is out in #MachineLearningScienceandTechnology 🤩 #EditorsLife
iopscience.iop.org/article/10.1...

Our paper probing out-of-distribution generalization in machine learning for materials discovery is now published at Communications Materials (@NaturePortfolio) #MatSci #AI4Science #Chemsky #Vertaix

📓Link: nature.com/articles/s43...

One of the awesome things about the AI4Mat workshop at NeurIPS 2024 (sites.google.com/view/ai4mat) is that it brings together people doing things like graph neural networks and large language models with others into electron microscopy and materials synthesis #ALDep

Our
@andreniyongabo.bsky.social will be @neuripsconf.bsky.social presenting LLM4Mat-Bench at the AI4Mat Workshop ✨ LLM4Mat-Bench is the largest text benchmark for training LLMs for materials property prediction. #NLP4Science

🖇️Paper: arxiv.org/abs/2411.00177
💻Code: github.com/vertaix/LLM4...

We are hiring (resharing appreciated)!

Given recent successful grant applications (I got my SNSF Starting Grant 🚀), we are extending the LIAC team with multiple openings (PhD/postdoc) for 2025.

Apply now (deadline: December 20th) by filling in this form: forms.fillout.com/t/eq5ADAw3kkus.
#ChemSky

Exciting news! 🔥🤩
The second LLM Hackathon for Applications in Materials Science and Chemistry has resulted in a preprint! 🔥🚀

Check out the paper here arxiv.org/abs/2411.15221 and a short version of all the projects in this Twitter thread twitter.com/BenBlaiszik/...

#AI #AI4Materials #AI4Chem

Reposting two starter packs with researchers working on AI4Science for those who are newly joining 🦋.

So many wonderful folks on these lists, help me add more by sending names (including your own 😊).

Starter Pack 2: go.bsky.app/GnFTUM6
Starter Pack 1: go.bsky.app/JeFdryY

Meet my sister, the winner of UESTC's Most Outstanding PhD Student Award! Her PhD focuses on fuzzy-inspired frameworks for medical diagnosis and signal processing, tackling challenging Neuroscience problems. She’s now seeking a post-doc position in a related field!
scholar.google.com/citations?us...

Intro to Machine Learning for Materials Science: from ontologies and NLP to causality and decision making

www.linkedin.com/posts/sergei...

A very cool article about our ChemBench benchmark (arxiv.org/abs/2404.01475).

Have you been wondering how your favorite LLM, e.g. Llama, Mistral, or Gemma performs on materials property prediction? We have just released LLM4Mat-Bench, the largest benchmark for materials property prediction with LLMs! #ChemSky

Paper: arxiv.org/abs/2411.00177
Code: github.com/vertaix/LLM4...

If you're interested in foundation models for materials and molecules, check out our repo: github.com/IBM/materials

We have three models released based on SMILES, SELFIES and molecular graphs.

More to come shortly - we aim to have a unified collection of state-of art models across all modalities.