6 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 6 cited
Evaluation and Enhancement of Semantic Grounding in Large Vision-Language Models
Jiaying Lu, Jinmeng Rao, Kezhen Chen +5
Large Vision-Language Models (LVLMs) offer remarkable benefits for a variety of vision-language tasks. However, a challenge hindering their application in real-world scenarios, par…
cs.CL2023★ 1 cited
Tackling Vision Language Tasks Through Learning Inner Monologues
Diji Yang, Kezhen Chen, Jinmeng Rao +4
Visual language tasks require AI models to comprehend and reason with both visual and textual content. Driven by the power of Large Language Models (LLMs), two prominent methods ha…