55 citations · 61 across the 30 of their papers we have counts for
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cs.CV2023
Good Questions Help Zero-Shot Image Reasoning
Kaiwen Yang, Tao Shen, Xinmei Tian +4
Aligning the recent large language models (LLMs) with computer vision models leads to large vision-language models (LVLMs), which have paved the way for zero-shot image reasoning t…
cs.CL2023
Merging Experts into One: Improving Computational Efficiency of Mixture of Experts
Shwai He, Run-Ze Fan, Liang Ding +3
Scaling the size of language models usually leads to remarkable advancements in NLP tasks. But it often comes with a price of growing computational cost. Although a sparse Mixture…
cs.CL2023★ 1 cited
Reflection-Tuning: Data Recycling Improves LLM Instruction-Tuning
Ming Li, Lichang Chen, Jiuhai Chen +4
Recent advancements in Large Language Models (LLMs) have expanded the horizons of natural language understanding and generation. Notably, the output control and alignment with the…