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Improving QA Model Performance with Cartographic Inoculation

QA models are faced with complex and open-ended contextual reasoning problems, but can often learn well-performing solution heuristics by exploiting dataset-specific patterns in their training data. These patterns, or "dataset artifacts", reduce the

Externí odkaz: http://arxiv.org/abs/2401.17498

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High-precision Voice Search Query Correction via Retrievable Speech-text Embedings

Autor: Li, Christopher, Wang, Gary, Kastner, Kyle, Su, Heng, Chen, Allen, Rosenberg, Andrew, Chen, Zhehuai, Wu, Zelin, Velikovich, Leonid, Rondon, Pat, Caseiro, Diamantino, Aleksic, Petar

Automatic speech recognition (ASR) systems can suffer from poor recall for various reasons, such as noisy audio, lack of sufficient training data, etc. Previous work has shown that recall can be improved by retrieving rewrite candidates from a large

Externí odkaz: http://arxiv.org/abs/2401.04235

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Dissertation/ Thesis

Occupancy detection and prediction with sensors and online machine learning : Case study of the Elmia exhibition building in Jönköping

Autor: Chen, Allen

Buildings account for approximately 40% of energy consumption in the EU, and despite drastic increasing measures for energy efficient operation, the net value of energy consumption is expected to continue increasing because ofincreasing urbanization.

Externí odkaz: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-315388

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