Information Processing Apparatus Using Answer-Count-Guided Questions
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Solution Overview
Problem
When the amount of information input from a user is insufficient, chatbots often provide multiple options, making it difficult to output the most desirable answer.
Innovation Solution
An information processing apparatus determines the sufficiency of input information and, if insufficient, requests a large-scale language model to generate additional questions to gather more information, ensuring accurate responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the chatbot obtains answers from a large-scale language model based on user input, then it can provide diverse answer options, but when the input information is insufficient, a large number of options are obtained making it difficult to output the most desirable answer
Solution Approach 1:
The system performs preliminary assessment of input information sufficiency before generating answers. The determination unit evaluates whether the user's input contains sufficient information before the large-scale language model generates answer options, preventing generation of multiple ambiguous options when input is inadequate.
Solution Approach 2:
The system implements a feedback mechanism where the determination unit continuously assesses whether obtained answers meet the desired precision threshold. When multiple options are obtained indicating insufficient input information, the system feeds back a request for additional input to the user, and re-evaluates after receiving supplementary information.
2Measurement precision
If the chatbot requests additional information from the user to improve answer accuracy, then response precision improves, but the interaction process becomes more complex and time-consuming
Solution Approach 1:
The system performs preliminary determination of input sufficiency using automated analysis rather than requiring complex multi-turn dialogue. The determination unit assesses whether the current input contains sufficient information using predefined criteria, simplifying the interaction flow while maintaining accuracy requirements.
Solution Approach 2:
The system changes the parameter of information sufficiency determination from requiring extensive dialogue to using automated assessment based on answer option count. When the number of obtained answers exceeds a threshold, this parameter change triggers a simplified request for additional input rather than complex interaction sequences.
3Adaptability or versatility
If the chatbot uses a large-scale language model to generate answers, then it can handle various types of questions, but when input information is insufficient, it outputs multiple options rather than a definitive answer
Solution Approach 1:
The determination unit acts as an intermediary between the large-scale language model and the user. It receives multiple answer options from the model, evaluates whether they indicate insufficient input information, and mediates by either selecting the best option when input is sufficient or requesting additional input when it is not, ensuring definitive answers are only provided when appropriate.
Solution Approach 2:
The system replaces the mechanical approach of directly outputting all model-generated options with an automated determination mechanism. The determination unit substitutes manual judgment with algorithmic assessment of answer option counts and characteristics, automatically deciding whether to present multiple options or request additional input to achieve a definitive answer.
Data Source
AI summary
An information processing apparatus includes circuitry that receives input question data from a terminal apparatus, determines whether a number of answer data obtained based on a question indicated by the input question data is equal to or greater than a predetermined number, outputs to the terminal apparatus answer data, based on a determination that the number of answer data obtained is less than the predetermined number, and requests a large-scale language model to generate a question for obtaining additional input question data and output to the terminal apparatus the question for obtaining the additional input question data output from the large-scale language model, based on a determination that the number of answer data obtained is equal to or greater than the predetermined number.