most citedBIRD: A Trustworthy Bayesian Inference Framework for Large Language Models

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cs.CV2026

ERGeoBench:A Comprehensive Benchmark for Embodied Reasoning and Geo-localization in Multimodal Large Language Models

Kaiwen Xue, Tao Wei, Guoxin Zhang +5

Multimodal large language models (MLLMs) have shown strong potential as embodied agents, yet embodied geo-localization remains underexplored due to the lack of fine-grained evaluat…

cs.CV2024★ 1 cited

BLINK: Multimodal Large Language Models Can See but Not Perceive

Xingyu Fu, Yushi Hu, Bangzheng Li +7

We introduce Blink, a new benchmark for multimodal language models (LLMs) that focuses on core visual perception abilities not found in other evaluations. Most of the Blink tasks c…