2 papers
cs.CL2025
KG-o1: Enhancing Multi-hop Question Answering in Large Language Models via Knowledge Graph Integration
Nan Wang, Yongqi Fan, yansha zhu +6
Large Language Models (LLMs) face challenges in knowledge-intensive reasoning tasks like classic multi-hop question and answering, which involves reasoning across multiple facts. T…
cs.CV2025
Can Multimodal Large Language Models Understand Spatial Relations?
Jingping Liu, Ziyan Liu, Zhedong Cen +5
Spatial relation reasoning is a crucial task for multimodal large language models (MLLMs) to understand the objective world. However, current benchmarks have issues like relying on…