  This paper presents our work on the Situated Interactive MultiModal
Conversations 2.0 challenge held at Dialog State Tracking Challenge 10. SIMMC
2.0 includes 4 subtasks, and we introduce our multimodal approaches for the
subtask \#1, \#2 and the generation of subtask \#4. SIMMC 2.0 dataset is a
multimodal dataset containing image and text information, which is more
challenging than the problem of only text-based conversations because it must
be solved by understanding the relationship between image and text. Therefore,
since there is a limit to solving only text models such as BERT or GPT2, we
propose a multimodal model combining image and text. We first pretrain the
multimodal model to understand the relationship between image and text, then
finetune our model for each task. We achieve the 3rd best performance in
subtask \#1, \#2 and a runner-up in the generation of subtask \#4. The source
code is available at https://github.com/rungjoo/simmc2.0.
