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cs.CV2026
TRIP-Evaluate: An Open Multimodal Benchmark for Evaluating Large Models in Transportation
Han Gong, Zhen Zhou, Yunyang Shi +4
Large language models (LLMs) and multimodal large models (MLLMs) are increasingly used for transportation tasks such as regulation question answering, traffic management support, e…
cs.CV2026
Test-Time Computing for Referring Multimodal Large Language Models
Mingrui Wu, Hao Chen, Jiayi Ji +5
We propose ControlMLLM++, a novel test-time adaptation framework that injects learnable visual prompts into frozen multimodal large language models (MLLMs) to enable fine-grained r…