The Situated Interactive Multi-Modal Conversations (SIMMC) 2.0 aims to create virtual shopping assistants that can accept complex multi-modal inputs.

Jul 10, 2022 · For instance, a multi-modal dialog agent may help the user navigate a virtual clothing store and look for an object meeting the user's criteria.

Jan 16, 2022 · It consists of four subtasks, multi-modal disambiguation (MM-Disamb), multi-modal coreference resolution (MM-Coref), multi-modal dialog state ...

Once the user chooses the blue one, the system retrieves the information on the disambiguated object. The multi-modal context in this case would be M1 = 11l.

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The Situated Interactive Multi-Modal Conversations (SIMMC) 2. 0 aims to create virtual shopping assistants that can accept complex multi-modal inputs, i. e. ...

Existing multimodal conversation agents have shown impres- sive abilities to locate absolute positions or retrieve attributes.

3. BART-base. 29.4. Learning to Embed Multi-Modal Contexts for Situated Conversational Agents ; 4. MTN. 21.7. Multimodal Transformer Networks for End-to-End ...

Co-authors · Learning to embed multi-modal contexts for situated conversational agents · Korean alphabet level convolution neural network for text classification.

Jul 8, 2024 · In this paper, we explore the role of non-verbal conversational cues in identifying and recovering from errors while performing various assembly tasks.