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cs.CV2026
ComplexityWorld: Benchmarking Vision-Language Models on Verifiable Visual Decision Making
Ningxin Pan, Hanyu Li, Yehui Tang
Vision-language models (VLMs) have made rapid progress in visual perception and increasingly support real-world tasks that depend on images. Many such tasks, however, require more…
cs.CV2026
FaithEyes: Towards Faithful Tool Use via Multi-Agent Process-Image Self-Verification
Haoqing Wang, Xingrun Xing, Wei Xia +3
Agentic vision-language models (VLMs), which interleave textual reasoning with explicit tool calls such as cropping and code-based image manipulation, have emerged as a compelling…