Llm As Continuous Chat A Hugging Face Space By Felixz Haarig: 46,158 videos. jungfrau, haarig solo, haarig deutsch, deutschland, fette und vieles mehr auf stalemoms .
Training A Chat Based Llm Training A Chat Based Llm Requires A Download Scientific Diagram
Evaluating Large Language Model Applications With Llm Augmented Feedback
Evaluating Large Language Model Applications With Llm Augmented Feedback
 have demonstrated great potential in Conversational Recommender Systems (CRS). However%2C the application of LLMs to CRS has exposed a notable discrepancy in behavior between LLM-based CRS and human recommenders: LLMs often appear inflexible and passive%2C frequently rushing to complete the recommendation task without sufficient inquiry.This behavior discrepancy can lead to decreased accuracy in recommendations and lower user satisfaction. Despite its importance%2C existing studies in CRS lack a study about how to measure such behavior discrepancy. To fill this gap%2C we propose Behavior Alignment%2C a new evaluation metric to measure how well the recommendation strategies made by a LLM-based CRS are consistent with human recommenders'. Our experiment results show that the new metric is better aligned with human preferences and can better differentiate how systems perform than existing evaluation metrics. As Behavior Alignment requires explicit and costly human annotations on the recommendation strategies%2C we also propose a classification-based method to implicitly measure the Behavior Alignment based on the responses. The evaluation results confirm the robustness of the method. "Behavior Alignment A New Perspective Of Evaluating Llm Based Conversational Recommendation")
Behavior Alignment A New Perspective Of Evaluating Llm Based Conversational Recommendation
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