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洞見 - Dialogue system
Effective Conversation Retrieval for Dialogue State Tracking using Implicit Text Summaries
Leveraging language model-based conversation summarization to enable effective and efficient retrieval of similar dialogues for few-shot dialogue state tracking.
Dynamic Retrieval and Cognitive Understanding for Empathetic Emotional Support Conversations
A novel approach that synergizes dynamic demonstration retrieval and cognitive-aspect situation understanding to enhance the quality of emotional support provided in conversational systems.
Hexa: A Self-Improving Approach for Knowledge-Grounded Dialogue Systems
Hexa is a self-improving method that can enhance the performance of modular dialogue systems by leveraging a novel bootstrapping scheme with guided prompts and a modified loss function to generate diverse and appropriate intermediate steps and final responses without access to ground truth data.
