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Found 4 papers, 1 papers with code
Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset
Our experimental results demonstrate that utterances in PEARL include more specific user preferences, show expertise in the target domain, and provide recommendations more relevant to the dialogue context than those in prior datasets.
Commonsense-augmented Memory Construction and Management in Long-term Conversations via Context-aware Persona Refinement
As the pioneer of persona expansion in multi-session settings, our framework facilitates better response generation via human-like persona refinement.
Evidence-empowered Transfer Learning for Alzheimer's Disease
To address this, we present evidence-empowered transfer learning for AD diagnosis.
CUD-NET: Color Universal Design Neural Filter for the Color Weakness
Finally, we suggest a deformable loss function by the composition of the predicted image through the model to avoid the one-to-many problems of the dataset.
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