Gianluca Bonifazi

Modeling the evolution of text generation trajectories can dramatically enhance the accuracy of AI-generated text detection, outperforming conventional static approaches.

TIGRAG achieves superior multi-hop reasoning in LLMs by leveraging a token co-occurrence graph, cutting down both computational costs and hallucinations.