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This invention describes a computer system that answers questions. It works by first searching for many possible answers to a question, then using several different ways to score how good each possible answer is. Based on information about the question or the answers themselves, the system picks the best method to rank these scores, and then chooses the most suitable answers to present. The claims specifically describe a system that compares the query and passages to score candidate answers, often based on how well the text aligns.
Why it matters: Filed before the widespread adoption of Large Language Models (LLMs), this invention's modular approach to scoring and ranking answers using multiple models could now be significantly enhanced or simplified by integrating LLM-based components. LLMs could act as powerful individual scoring models, or even as the mechanism for selecting the optimal ranking function, making the system more robust and effective than previously possible.
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