2 papers
cs.CV2026
Towards Faithful Reasoning in Comics for Small MLLMs
Chengcheng Feng, Haojie Yin, Yucheng Jin +1
Comic understanding presents a significant challenge for Multimodal Large Language Models (MLLMs), as the intended meaning of a comic often emerges from the joint interpretation of…
cs.LG2026
SVIP: Towards Verifiable Inference of Open-source Large Language Models
Yifan Sun, Yuhang Li, Yue Zhang +2
The ever-increasing size of open-source Large Language Models (LLMs) renders local deployment impractical for individual users. Decentralized computing has emerged as a cost-effect…