2 papers
cs.CV2025
Reasoning in the Dark: Interleaved Vision-Text Reasoning in Latent Space
Chao Chen, Zhixin Ma, Yongqi Li +4
Multimodal reasoning aims to enhance the capabilities of MLLMs by incorporating intermediate reasoning steps before reaching the final answer. It has evolved from text-only reasoni…
cs.CL2025
MIST: Towards Multi-dimensional Implicit BiaS Evaluation of LLMs for Theory of Mind
Yanlin Li, Hao Liu, Huimin Liu +3
Theory of Mind (ToM) in Large Language Models (LLMs) refers to the model's ability to infer the mental states of others, with failures in this ability often manifesting as systemic…