10 citations · 20 across the 16 of their papers we have counts for
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cs.CL2023
Filling the Image Information Gap for VQA: Prompting Large Language Models to Proactively Ask Questions
Ziyue Wang, Chi Chen, Peng Li +1
Large Language Models (LLMs) demonstrate impressive reasoning ability and the maintenance of world knowledge not only in natural language tasks, but also in some vision-language ta…
cs.CV2023★ 10 cited
Position-Enhanced Visual Instruction Tuning for Multimodal Large Language Models
Chi Chen, Ruoyu Qin, Fuwen Luo +4
Recently, Multimodal Large Language Models (MLLMs) that enable Large Language Models (LLMs) to interpret images through visual instruction tuning have achieved significant success.…
cs.CV2023
Weakly Supervised Vision-and-Language Pre-training with Relative Representations
Chi Chen, Peng Li, Maosong Sun +1
Weakly supervised vision-and-language pre-training (WVLP), which learns cross-modal representations with limited cross-modal supervision, has been shown to effectively reduce the d…