Customer-obsessed science
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July 22, 2024“Best-fit packing” adapts bin-packing to avoid unnecessary truncation of training documents, improving LLM performance across a wide range of tasks and reducing hallucination.
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July 19, 2024In his keynote address at CVPR, Swami Sivasubramanian considers the many ways that Amazon incorporates computer vision technology into its products and makes it directly available to Amazon Web Services’ customers.
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July 17, 2024Learning algorithms and reinforcement learning are areas of focus, while LLM-related research — on topics such as continual learning, hallucination mitigation, and privacy — remains well represented.
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August 11 - 16, 2024
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August 25 - 29, 2024
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September 1 - 5, 2024
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July 08, 2024
University students will compete for cash prizes in a competition to securely advance LLMs that code. To apply, submit your application before the deadline on September 1, 2024.
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CIKM 20242024A complementary item is an item that pairs well with another item when consumed together. In the context of e-commerce, providing recommendations for complementary items is essential for both customers and stores. Current models for suggesting complementary items often rely heavily on user behavior data, such as co-purchase relationships. However, just because two items are frequently bought together does
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2024Handling drafty partial code remains a notable challenge in real-time code suggestion applications. Previous work has demonstrated shortcomings of large language models of code (CodeLLMs) in completing partial code with potential bugs. In this study, we view partial code as implementation hints and fine-tune CodeLLMs to jointly rewrite and complete partial code into functional full programs. We explore
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We investigate the use of in-context learning and prompt engineering to estimate the contributions of training data in the outputs of instruction-tuned large language models (LLMs). We propose two novel approaches: (1) a similarity-based approach that measures the difference between LLM out-puts with and without provided context, and (2) a mixture distribution model approach that frames the problem of identifying
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ECCV 20242024Recent advancements in audio-visual generative modeling have been propelled by progress in deep learning and the availability of data-rich benchmarks. However, the growth is not attributed solely to models and benchmarks. Universally accepted evaluation metrics also play an important role in advancing the field. While there are many metrics available to evaluate audio and visual content separately, there
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ECCV 20242024In recent years, notable advancements have been made in the domain of visual document understanding, with the prevailing architecture comprising a cascade of vision and language models. The text component can either be extracted explicitly with the use of external OCR models in OCR-based approaches, or alternatively, the vision model can be endowed with reading capabilities in OCR-free approaches. Typically
July 24, 2024
Program empowers uniquely merited scholars from backgrounds historically underrepresented in STEM to become industry leaders through scholarship, research, and career opportunities.
Resources
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We look for talent from around the world for applied scientists, data scientists, economists, research scientists, scholars, academics, PhDs, and interns.
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We collaborate with leading academic organizations to drive innovation and to ensure that research is creating solutions whose benefits are shared broadly.
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Learn more about the awards and recognitions that Amazon researches from around the world have been honored with during their tenure.