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## Recent Update
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- 👏🏻 2022.10.10: The repository `dstc11-simmc2.1-scut-bds-lab` for [DSTC11 Track1](https://github.com/facebookresearch/simmc2) is created.
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- 👏🏻 2022.10.28: The model is public on huggingface, see the link [https://huggingface.co/scutcyr/dstc11-simmc2.1-
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## Overview
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The [SIMMC2.1](https://github.com/facebookresearch/simmc2) challenge aims to lay the foundations for the real-world assistant agents that can handle multimodal inputs, and perform multimodal actions. It has 4 tasks: Ambiguous Candidate Identification, Multimodal Coreference Resolution, Multimodal Dialog State Tracking, Response Generation. We consider the joint input of textual context, tokenized objects and scene as multi-modal input, as well as compare the performance of single task training and multi task joint training.
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## Recent Update
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- 👏🏻 2022.10.10: The repository `dstc11-simmc2.1-scut-bds-lab` for [DSTC11 Track1](https://github.com/facebookresearch/simmc2) is created.
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- 👏🏻 2022.10.28: The model is public on huggingface, see the link [https://huggingface.co/scutcyr/dstc11-simmc2.1-scut-bds-lab](https://huggingface.co/scutcyr/dstc11-simmc2.1-scut-bds-lab) for detail.
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## Overview
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The [SIMMC2.1](https://github.com/facebookresearch/simmc2) challenge aims to lay the foundations for the real-world assistant agents that can handle multimodal inputs, and perform multimodal actions. It has 4 tasks: Ambiguous Candidate Identification, Multimodal Coreference Resolution, Multimodal Dialog State Tracking, Response Generation. We consider the joint input of textual context, tokenized objects and scene as multi-modal input, as well as compare the performance of single task training and multi task joint training.
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