Customer-obsessed science
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March 25, 2024Automated method that uses gradients to identify salient layers prevents regression on previously seen data.
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March 18, 2024Tokenizing time series data and treating it like a language enables a model whose zero-shot performance matches or exceeds that of purpose-built models.
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March 14, 2024Diffusion modeling within the representational space of a variational autoencoder enables state-of-the-art results.
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March 07, 2024DocFormerV2 makes sense of documents using local features, outperforming much bigger models.
March 27, 2024
The submission period for proposals for the AI for Information Security and Sustainability research areas is open now and closes on May 7.
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EACL 2024 Workshop on Natural Language Processing for Human Resources2024Recent advancements in Large Language Models (LLMs) have been reshaping Natural Language Processing (NLP) task in several domains. Their use in the field of Human Resources (HR) has still room for expansions and could be beneficial for several time consuming tasks. Examples such as time-off submissions, medical claims filing, and access requests are noteworthy, but they are by no means the sole instances
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WSDM 2024 Workshop on Interactive and Scalable Information Retrieval Methods for E-Commerce2024Query Autocomplete (QAC) systems predict the best query suggestions based on customer typed prefix and other contextual signals. Conventional techniques employ the Most Popular Completion (MPC) method, where query suggestions that are popular and begin with the prefix (prefix aware) are retrieved from a pre-computed index. To account for contextual signals like past search activity of the user in the session
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EACL 20242024In this work, We present Unified Embeddings for Multimodal Retrieval (UNIMUR), a simple but effective approach that embeds multimodal inputs and retrieves visual and textual outputs via frozen Large Language Models (LLMs). Specifically, UNIMUR jointly retrieves multimodal outputs via unified multimodal embedding and applies dual alignment training to account for both visual and textual semantics. Thus,
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March 21, 2024The principal economist and his team address unique challenges using techniques at the intersection of microeconomics, statistics, and machine learning.
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March 13, 2024Amazon Health Services' Sunita Mishra and Columbia University’s Katrina Armstrong discuss technology's potential role in medical settings.
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February 14, 2024Derek Chibuzor utilized his SURE experience to gain "exposure to an aerospace research project in a professional research environment."