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EACL: Language processing at the dawn of the LLM era
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The general chair of this year’s meeting of the European Chapter of the Association for Computational Linguistics (EACL) is Alessandro Moschitti, a ...

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Amazon and Howard announce expansion of academic collaboration
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In February, in furtherance of an ongoing effort to create enduring pipelines of diverse science talent and differentiated research, Amazon announced a ...

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Nine teams advance to semifinals for the Alexa Prize SocialBot Grand Challenge
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In November, Amazon announced that nine teams from around the globe were selected to participate in the Alexa Prize SocialBot Grand Challenge 5 (SGC 5), a ...

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How we built Cedar with automated reasoning and differential testing
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Cedar is a new authorization-policy language used by the Amazon Verified Permissions and AWS Verified Access managed services, and we recently released it ...

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Differential privacy for deep learning at GPT scale
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Deep-learning models are data driven, and that data may contain sensitive information that requires privacy protection. Differential privacy (DP) is a ...

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Cracking the code of how diseases affect the body
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Early in her career, computer scientist Marinka Zitnik confronted a biomedical mystery: among 12,000 genes, which handful played a role in the response of a ...

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Physics-constrained machine learning for scientific computing
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Commercial applications of deep learning have been making headlines for years — never more so than this spring. More surprisingly, deep-learning methods ...

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Lihong Li wins 2023 Seoul Test of Time Award
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Lihong Li, a senior principal scientist in Amazon Ads, has won the 2023 Seoul Test of Time award for the 2010 paper “A Contextual-Bandit Approach to ...

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Making machine translation more robust, consistent, and stable
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Like many other machine learning applications, neural machine translation (NMT) benefits from overparameterized deep neural models — models so large that ...

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Using generative AI to improve extreme multilabel classification
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For years, Amazon researchers have been exploring the topic of extreme multilabel classification (XMC), or classifying inputs when the space of possible ...

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“Building a model that can save as many lives as possible”
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Sometimes, good luck wears bad luck's clothing — and that was certainly the case in 2015 for the young electrical and computer engineer Supreeth ...

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Computing on private data
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Many of today’s most innovative computation-based products and solutions are fueled by data. Where those data are private, it is essential to protect them ...

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