Abstract: Large language models (LLMs) have shown exceptional performance in code generation and understanding tasks, yet their high computational costs hinder broader adoption. One important factor ...
Physicist Richard Feynman turned a lunch dilemma into a math problem. Researchers finally cracked his notes and found people ...
Abstract: The Chain-of-Thought (CoT) prompting mechanism has effectively enhanced the performance of large language models (LLMs) across a variety of natural language processing (NLP) tasks, including ...
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