33 citations · 41 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 8 cited
Making LLaMA SEE and Draw with SEED Tokenizer
Yuying Ge, Sijie Zhao, Ziyun Zeng +4
The great success of Large Language Models (LLMs) has expanded the potential of multimodality, contributing to the gradual evolution of General Artificial Intelligence (AGI). A tru…
cs.CV2023★ 33 cited
GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction
Rui Yang, Lin Song, Yanwei Li +4
This paper aims to efficiently enable Large Language Models (LLMs) to use multimodal tools. Advanced proprietary LLMs, such as ChatGPT and GPT-4, have shown great potential for too…