AI RESEARCH

Claim2Vec: Embedding Fact-Check Claims for Multilingual Similarity and Clustering

arXiv CS.CL

ArXi:2604.09812v1 Announce Type: new Recurrent claims present a major challenge for automated fact-checking systems designed to combat misinformation, especially in multilingual settings. While tasks such as claim matching and fact-checked claim retrieval aim to address this problem by linking claim pairs, the broader challenge of effectively representing groups of similar claims that can be resolved with the same fact-check via claim clustering remains relatively underexplored. To address this gap, we.