Providing answers to questions using logical synthesis of candidate answers

This system answers questions by first breaking a main question into several smaller ones. For each small question, it finds a specific piece of information of a particular kind. Then, it combines these specific pieces of information, using a method decided by the original question, to build the final answer.

Why it matters: Filed before large language models became prevalent. Modern LLMs can now perform the query decomposition, answer extraction, and logical synthesis steps described, making the implementation significantly more feasible and powerful.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, natural language processing

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