Co-FactChecker: A Framework for Human-AI Collaborative Claim Verification Using Large Reasoning Models

ArXi:2604.13706v1 Announce Type: new Professional fact-checkers rely on domain knowledge and deep contextual understanding to verify claims. Large language models (LLMs) and large reasoning models (LRMs) lack such grounding and primarily reason from available evidence alone, creating a mismatch between expert-led and fully automated claim verification. To mitigate this gap, we posit human-AI collaboration as a promising path forward, where expert feedback, grounded in real-world knowledge and domain expertise, guides the model's reasoning.