AI RESEARCH
AITP: Traffic Accident Responsibility Allocation via Multimodal Large Language Models
arXiv CS.LG
•
ArXi:2604.20878v1 Announce Type: cross Multimodal Large Language Models (MLLMs) have achieved remarkable progress in Traffic Accident Detection (TAD) and Traffic Accident Understanding (TAU). However, existing studies mainly focus on describing and interpreting accident videos, leaving room for deeper causal reasoning and integration of legal knowledge. Traffic Accident Responsibility Allocation (TARA) is a challenging task that requires multi-step reasoning grounded in traffic regulations. To address this, we