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This is the repository for the paper "Learning from Implicit User Feedback, Emotions and Demographic Information in Task-Oriented and Document-Grounded Dialogues", which appears in EMNLP 2024 Findings.
PICK: Polished & Informed Candidate Scoring for Knowledge-Grounded Dialogue Systems. This approach reduces hallucination and improves relevance by re-scoring responses, enhancing faithfulness and relevance without extra data or model tuning.