Evaluating Answer Selection Strategies
Analyze the two proposed system designs below for answering complex reasoning questions. Explain why Design B might produce more reliable answers than Design A, framing your explanation in terms of selecting an output that minimizes disagreement with other potential good answers.
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Ch.3 Prompting - Foundations of Large Language Models
Foundations of Large Language Models
Computing Sciences
Foundations of Large Language Models Course
Analysis in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
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Risk Function for Minimum Bayes Risk Decoding
Formula for the Risk of an Output in Minimum Bayes Risk Decoding
A system generates five potential answers to a question. The goal is to select the single best answer by choosing the one that minimizes the total expected cost when compared against all other generated answers. The cost of selecting answer 'y' over an alternative 'y_r' is defined as 0 if they are identical and 1 if they are different. Given the following set of generated answers, which one should be selected?
Generated Answers:
- 'Paris'
- 'Lyon'
- 'Paris'
- 'Paris'
- 'Marseille'
A developer implements a system where a language model generates 10 possible answers to a single prompt. The system then selects the most frequently occurring answer as the final output. Which of the following statements best analyzes this selection strategy from a theoretical perspective?
Evaluating Answer Selection Strategies