The field of fact-checking is moving towards addressing the challenges of multilingual settings and low-resource languages. Researchers are exploring innovative approaches to improve the accuracy and efficiency of fact-checking systems, including the use of multi-agent frameworks, evidence boosting, and synthetic data fine-tuning. Noteworthy papers in this area include UrduFactCheck, which introduces a comprehensive fact-checking framework for Urdu, and EMULATE, which proposes a novel claim verification system that emulates human actions. Additionally, VeriFastScore demonstrates a significant speedup in long-form factuality evaluation, achieving a 6.6x overall speedup over existing methods.