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2024 ICML ICML 2024

Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

Authors

Thomas Merth, Qichen Fu, Mohammad Rastegari, Mahyar Najibi

Topics

Machine Learning > Application Areas > Efficient Computing Natural Language Processing > Applications > Question Answering Artificial Intelligence > Core AI > Large Language Models

Keywords

retrieval-augmented generation large language model compute time reduction distraction phenomenon parallel prompt paths superposition prompting
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