Our Moritz Plenz from Heidelberg University NLP Group in front of numerous visitors of his poster, presenting his new work on Graph Language Models 🕸️🗣️ at #ACL2024NLP. GLMs unify the advantages of LLMs and GNNs on structure-based tasks. Hold on, Moritz, to the end of the session! 😅🤩

🤗Our models are now on Huggingface and can be run with only a couple of lines of code: huggingface.co/models?other=g…

How to make powerful LLMs understand graphs and their structure?🕸️ With Graph Language Models! Take a pre-trained LLM and fit it with the ability to process graphs. Watch if you're curious how:👇 📺 youtu.be/JcHeaONGbmQ (Hint: it's about position embeddings, as Moritz Plenz

✨New Paper✨ The Mystery of Compositional Generalization in Graph-based Generative Commonsense Reasoning #EMNLP2024 📜 aclanthology.org/2024.findings-… 🖼️ Poster Session F (Riverfront Hall), Nov 14 @ 10:30

How and when do multilingual LMs achieve cross-lingual generalization during pre-training? And why do later, supposedly more advanced checkpoints, lose some language identification abilities in the process? Our #ACL2025 paper investigates.