seminars
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Predicting the Performance of Retrieval Augmented Generation
Abstract: Retrieval-augmented generation (RAG) enhances large language models (LLMs) by integrating external knowledge, yet the inclusion of irrelevant or distracting retrieved content can degrade text generation quality. This study focuses on the core task of text completion using LLMs with in-context learning, leveraging both traditional and novel query performance prediction methods to anticipate and improve… Continue Reading Predicting the Performance of Retrieval Augmented Generation
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The board of directors’ role in initiating innovation in the Classical Industry
This research focuses on the paradoxical roles of Boards of Directors: maintaining a focus on evaluation and risk management on the one hand and fostering innovation and entrepreneurial ventures within an organization on the other hand. While most existing research on organizational innovation primarily focuses on employee and top management team skills in adopting technology… Continue Reading The board of directors’ role in initiating innovation in the Classical Industry
