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Arxiv
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Compressing Search with Language Models
- Millions of people turn to Google Search each day for information on various topics.
- A new approach, SLaM Compression, has been introduced to reduce the dimensionality of search data.
- SLaM Compression quantifies search terms using pre-trained language models to create a memory-efficient summary.
- CoSMo, a Constrained Search Model, is presented to estimate real-world events using only search data.
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