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EKT-Router: Expert-Evidence Alignment for Embodied Vision-Language Models
Not provided in the abstract
multimodalreasoningembodied AI
2610.33044
Builder Relevance
1h ago80%
Abstract
EKT-Router introduces a framework for selecting capability experts and evidence in embodied vision-language models to improve reasoning from partial observations.
Reality Card
Core Claim
EKT-Router achieves the highest mean score of 61.4 across 6 embodied QA benchmarks, outperforming other systems.
Method / Result
Achieves a mean score of 61.4 on embodied QA benchmarks and 74.7 on general vision-language benchmarks.
Limitations
The paper does not specify the authors or provide detailed implementation information, which may hinder reproducibility.
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