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Found 4 papers, 1 papers with code
Learning to Embed Multi-Modal Contexts for Situated Conversational Agents
The Situated Interactive Multi-Modal Conversations (SIMMC) 2. 0 aims to create virtual shopping assistants that can accept complex multi-modal inputs, i. e. visual appearances of objects and user utterances.
Ranked #2 on
Response Generation
on SIMMC2.0
Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning
We argue that when we extract knowledge from source tasks via training source prompts, we need to consider this correlation among source tasks for better transfer to target tasks.
Re3val: Reinforced and Reranked Generative Retrieval
Subsequently, we extract and rerank contexts from the KILT database using the rerank page titles.
Augment & Valuate : A Data Enhancement Pipeline for Data-Centric AI
For this reason, data-centric approaches are crucial for the automation of machine learning operation pipeline.
