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Found 4 papers, 1 papers with code
Mitigating the Impact of False Negatives in Dense Retrieval with Contrastive Confidence Regularization
Hard negative sampling, which is commonly used to improve contrastive learning, can introduce more noise in training.
Long Short-Term Planning for Conversational Recommendation Systems
Specifically, the recommendation predicts the long-term recommendation target based on the conversational context and the user history.
Coarse-to-Fine Knowledge Selection for Document Grounded Dialogs
Specifically, the former efficiently finds relevant passages in a retrieval-and-reranking process, whereas the latter effectively extracts finer-grain spans within those passages to incorporate into a parametric answer generation model (BART, T5).
Doc2Bot: Accessing Heterogeneous Documents via Conversational Bots
This paper introduces Doc2Bot, a novel dataset for building machines that help users seek information via conversations.
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