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University of British, Columbia University of Copenhagen, Carleton University University of Copenhagen Vector Institute Vector Institute, Taylor Geospatial University of Copenhagen University of British Columbia Vector Institute
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Earth observation streams and foundation model embeddings can be compressed 1,800脳 into continuous neural fields while retaining 90%+ downstream performance and cutting data retrieval latency tenfold.
GenRec shows that LLM-backed recommenders can outperform traditional models with significantly less training data, revolutionizing the recommendation landscape.
Forget rigid templates: RL-optimized verbalization of user logs boosts LLM-based recommendation accuracy by up to 93%.
