Thrilled to announce that our team at @sisinflab had 2/2 papers accepted to #ACL2025 Main Conference! More details coming soon. See you in Vienna!

RT @alberto_mancino: The data preprocessing phase in recommender systems can be long and tedious. With 🧩DataRec, that’s no longer the case!….

RT @dersuchende_: New preprint alert! In “Ontology Generation using Large Language Models” (to be presented @#ESWC2025), we explore how LLM….

RT @dmalitesta: Ever wondered how out-of-the-box #KGE models would perform on #recommendation? In our (w/ @alberto_mancino @PMinervini @Tom….

RT @megamor2: In Hebrew, we have an idiom "one in the mouth, one in the heart" which means that there is a gap between what someone says ve….

RT @soheeyang_: Our paper "Do Large Language Models Latently Perform Multi-Hop Reasoning?" will be presented at #ACL2024 today. 📍 Mon 14:0….

Happy to share that our paper “PRONTO: Prompt-based Detection of Semantic Containment Patterns in MLMs”, w/ @walteranelli @TommasoDiNoia @DiSciascioEugen, has been accepted to ISWC 2024. #ISWC2024

RT @dmalitesta: "Do we really need to drop items with missing modalities in #multimodal #recsys?" Not at all! Our short paper at #CIKM2024….

RT @hoyeon_chang: 🚨 New paper 🚨.How Large Language Models Acquire Factual Knowledge During Pretraining?. I’m thrilled to announce the relea….

RT @helloiamleonie: “RAG is only as good as the retrieved documents’ relevance.”. But how do you quantify the relevance of a piece of conte….

RT @victorveitch: Fundamentally, high-level concepts group into categorical variables---mammal, reptile, fish, bird---with a semantic hiera….

RT @paolo_sorino: 1st Workshop on Wearable Devices.and Brain-Computer Interfaces for User Modelling at #UMAP2024 is calling! 🤙.ℹ️All inform….