Response Generation On Simmc2 0

BLEU

Results

Performance results of various models on this benchmark

		Paper Title
PaCE	34.1	PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts
BART-large	33.1	Learning to Embed Multi-Modal Contexts for Situated Conversational Agents
BART-base	29.4	Learning to Embed Multi-Modal Contexts for Situated Conversational Agents
MTN	21.7	Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems
GPT-2	19.2	Language Models are Unsupervised Multitask Learners

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