external knowledge
677ccf45da6d04ac8e76600821bd05ce-Supplemental-Conference.pdf
Apart from linguistic transformations, synthesizing among statements usually requires specific synthesis rulesofstatements.
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Thrust: Adaptively Propels Large Language Models with External Knowledge
To address these challenges, we propose the instance-level adaptive propulsion of external knowledge (IAPEK), where we only conduct the retrieval when necessary.
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- Asia > Japan > Honshū > Kansai > Osaka Prefecture > Osaka (0.05)
- Asia > China > Liaoning Province > Dalian (0.04)
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- Information Technology > Artificial Intelligence > Representation & Reasoning (1.00)
- Information Technology > Artificial Intelligence > Natural Language > Large Language Model (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (1.00)
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ReFIR: GroundingLargeRestorationModels withRetrievalAugmentation
Recently, diffusion models [10, 11] have emerged as a promising alternative, delivering noteworthy results in real-world image restoration [12, 13, 14].
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- Europe > Switzerland > Zürich > Zürich (0.14)
- North America > United States > California > Santa Clara County > Palo Alto (0.04)
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Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning
Humans are great observers who can learn by aggregating external knowledge from various sources, including observations from others' policies of attempting a task.
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- North America > United States > California > Santa Barbara County > Santa Barbara (0.04)
- North America > United States > California > San Diego County > San Diego (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
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- North America > United States > California > Alameda County > Berkeley (0.04)
- Europe > Romania > Sud - Muntenia Development Region > Giurgiu County > Giurgiu (0.04)
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