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Single-Run Multi-Step Reasoning
This approach to multi-step reasoning involves prompting a Large Language Model to generate both a complete reasoning path and the final conclusion within a single execution. All intermediate steps are produced in one prediction, meaning the LLM is only run once for the entire task. Chain-of-Thought (CoT) is a well-known example of this method.
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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
Related
Direct Conclusion Generation with Hidden Reasoning
Single-Run Multi-Step Reasoning
Multi-Run Problem Decomposition for Complex Reasoning
Self-Refinement in LLMs
Predict-then-Verify Approaches in LLM Reasoning
Principle of Generating Longer Reasoning Paths
Modifying Decoding for Longer Reasoning Paths
Multi-Stage Generation for Incremental Reasoning
An engineer is building a system to solve complex logic puzzles. When a puzzle is submitted, the system sends a single, carefully crafted prompt to a large language model. The model's output is a complete, step-by-step explanation of how it solved the puzzle, followed by the final answer, all generated in one response. Which approach to multi-step reasoning does this system exemplify?
Prompting for a Reasoning Process to Mitigate Errors in Complex Tasks
Compositional Generalization in LLMs
Choosing a Reasoning Strategy for a Financial AI
You are designing systems that use a large language model to solve complex problems. Match each system description with the reasoning approach it employs.
Learn After
Chain-of-Thought (COT) Prompting
A user provides a language model with the following prompt: 'A bakery had 80 cookies at the start of the day. They sold 35 cookies in the morning and baked a fresh batch of 50 more. In the afternoon, they sold another 40 cookies. How many cookies are left?' Which of the following model responses best demonstrates an approach where a complete, multi-step reasoning path and the final conclusion are generated together in a single, continuous output?
Chatbot Reasoning Strategy Analysis
Evaluating a Reasoning Strategy for a Customer Support Chatbot