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Example of Multi-hop Question Answering: Albert Einstein's Birth Country
To answer a complex question like 'What is the capital of the country where Albert Einstein was born?', a system must decompose it into simpler, solvable steps. This involves first identifying the birth country through the sub-question 'Where was Albert Einstein born?' and then determining its capital with a second sub-question, 'What is the capital of Germany?'.
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Ch.3 Prompting - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
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Example of Multi-hop Question Answering
Non-LLM Methods for Problem Decomposition in Question Answering
Example of Multi-hop Question Answering: Albert Einstein's Birth Country
An automated question-answering system is given the following query: 'Who directed the movie that won the Best Picture Oscar in the year the first person walked on the moon?' To answer this, the system must find and combine information from different sources. Which of the following sets of sub-questions correctly breaks down the original query into the logical steps needed to find the final answer?
Example of Multi-hop Question Answering Decomposition
An automated system needs to answer the complex question: 'What is the official language of the country where the inventor of the telephone was born?' Arrange the following steps into the correct logical sequence that the system must follow to find the final answer.
Decomposing a Complex Query
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To answer the question, 'What is the official currency of the country where the Eiffel Tower is located?', a system needs to break it down into smaller, sequential steps. Arrange the following sub-questions into the correct logical order that a system must follow to arrive at the final answer.
A user asks an information retrieval system: 'What is the primary language spoken in the country that hosted the 2016 Summer Olympics?'. To answer this, the system must break the query into a series of simpler, connected questions. Which of the following sets of sub-questions represents the most logical and efficient path to find the correct answer?
Deconstructing a Complex Query