Summary of Autobench-v: Can Large Vision-language Models Benchmark Themselves?, by Han Bao et al.
AutoBench-V: Can Large Vision-Language Models Benchmark Themselves?by Han Bao, Yue Huang, Yanbo Wang, Jiayi Ye,…
AutoBench-V: Can Large Vision-Language Models Benchmark Themselves?by Han Bao, Yue Huang, Yanbo Wang, Jiayi Ye,…
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GiVE: Guiding Visual Encoder to Perceive Overlooked Informationby Junjie Li, Jianghong Ma, Xiaofeng Zhang, Yuhang…
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Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and Reasoningby…
DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinationsby Aryo Pradipta Gema, Chen Jin, Ahmed…
Geometric Feature Enhanced Knowledge Graph Embedding and Spatial Reasoningby Lei Hu, Wenwen Li, Yunqiang ZhuFirst…
An Ontology-Enabled Approach For User-Centered and Knowledge-Enabled Explanations of AI Systemsby Shruthi ChariFirst submitted to…