research Multi-Agent Claim Verification A multi-agent framework for automated fact-checking and claim verification at scale. Agentic AI for Crisis Response Leveraging agentic AI systems to support decision-making and coordination during crisis events. Fairness-Aware Federated Graph Learning Addressing fairness and bias in federated learning settings over graph-structured data. Compositional Reasoning in Vision-Language Models Assessing and probing the compositional reasoning capabilities of large vision-language models. Jailbreak Vulnerabilities in Large Reasoning Models Investigating adversarial robustness and jailbreak attacks targeting large reasoning-oriented language models. software