Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning | HackerNoonThe THINK-AND-EXECUTE framework improves algorithmic reasoning in language models by separating logic discovery from execution.
Details of Think-and-Execute That You Don't Want to Miss | HackerNoonThe article discusses the components of pseudocode prompts vital for improving reasoning models in programming tasks.
What Is Think-and-Execute? | HackerNoonTHINK-AND-EXECUTE enables LLMs to improve reasoning by structuring tasks into pseudocode for consistent problem-solving.
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning | HackerNoonThe THINK-AND-EXECUTE framework improves algorithmic reasoning in language models by separating logic discovery from execution.
Details of Think-and-Execute That You Don't Want to Miss | HackerNoonThe article discusses the components of pseudocode prompts vital for improving reasoning models in programming tasks.
What Is Think-and-Execute? | HackerNoonTHINK-AND-EXECUTE enables LLMs to improve reasoning by structuring tasks into pseudocode for consistent problem-solving.
Our Analysis on Think-and-Execute and Pseudocode | HackerNoonTask-level pseudocode significantly improves reasoning performance compared to instance-specific logic.Pre-training on code corpora enhances the understanding of task-level logic.