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Multi-LLM Text Summarization

The paper introduces a novel framework called Multi-LLM for text summarization, which leverages multiple large language models (LLMs) to generate better summaries, especially for long documents. This framework is designed to overcome the limitations of using a single LLM, which might fail to captur

Attention Is All You Need - Summary

The paper proposes a new network architecture called Transformer that relies solely on attention mechanisms, dispensing with recurrence and convolutions entirely. The Transformer allows for significantly more parallelization and can reach a new state of the art in translation quality while requirin