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LLM Mapreduce-V2: Entropy-Driven Convolutional Test-Time Scaling For Generating Long-Form Articles From Extremely Long Resources by 隋辨 is a document available to read on EtoBox.

What is LLM Mapreduce-V2: Entropy-Driven Convolutional Test-Time Scaling For Generating Long-Form Articles From Extremely Long Resources about?

The document presents LLM×MapReduce-V2, a novel test-time scaling strategy aimed at enhancing long-form text generation from extensive resources using large language models (LLMs). It addresses challenges in long-to-long generation by integrating and analyzing relevant information through an entropy-driven convolutional approach, significantly improving the model

Author

隋辨

Language

EN