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20182023
most citedHybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning

302 citations · 558 across the 17 of their papers we have counts for

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cs.CL2023★ 5 cited

Tree-of-Mixed-Thought: Combining Fast and Slow Thinking for Multi-hop Visual Reasoning

Pengbo Hu, Ji Qi, Xingyu Li +5

There emerges a promising trend of using large language models (LLMs) to generate code-like plans for complex inference tasks such as visual reasoning. This paradigm, known as LLM-…

cs.CL2023

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Qinghao Ye, Haiyang Xu, Guohai Xu +15

Large language models (LLMs) have demonstrated impressive zero-shot abilities on a variety of open-ended tasks, while recent research has also explored the use of LLMs for multi-mo…