Customer-obsessed science
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September 30, 2024From pricing estimation and regulatory compliance to inventory management and chatbot assistants, machine learning models help Amazon Pharmacy customers stay healthy and save time and money.
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September 19, 2024“Agentic workflows” that use multiple, fine-tuned smaller LLMs — rather than one large one — can improve efficiency.
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September 16, 2024A position paper presented at ACL proposes a framework for more-accurate human evaluation of LLMs.
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September 29 - October 4, 2024
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October 21 - 25, 2024
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September 25, 2024
Now open until November 6, Amazon Research Awards will be seeking proposals in the following research areas: AI for Information Security, Automated Reasoning, AWS AI, AWS Cryptography, and Sustainability.
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KDD 20232023Pre-trained language models (PLMs) such as BERT, RoBERTa, and DeBERTa have achieved state-of-the-art performance on various downstream tasks. The enormous sizes of PLMs hinder their deployment in resource-constrained scenarios, e.g., on edge and mobile devices. To address this issue, many model compression approaches have been proposed to reduce the number of model parameters. This paper focuses on compressing
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Interspeech 20232023Conformer-based end-to-end automatic speech recognition (ASR) models have gained popularity in recent years due to their exceptional performance at scale. However, there are significant computation, memory and latency costs associated with running inference on such models. With the aim of mitigating these issues, we evaluate the efficacy of pruning Conformer layers while fine-tuning only on 20% of the data
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KDD 2023 Workshop on Mining and Learning with Graphs2023The rise of online marketplaces has led to increased concerns regarding the presence of bad actors involved in counterfeit or engage in fraudulent activities. While efforts are being made by organizations to monitor and address these issues, bad actors persistently find new ways to engage in fraudulent behavior, including creating new accounts using different credentials, account hijacking etc. To combat
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ACL Findings 20232023Recommending a diversity of product types (PTs) is important for a good shopping experience when customers are looking for products around their high-level shopping interests (SIs) such as hiking. However, the SI-PT connection is typically absent in e-commerce product catalogs and expensive to construct manually due to the volume of potential SIs, which prevents us from establishing a recommender with easily
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KDD 2023 Workshop on Mining and Learning with Graphs2023Graph Neural Networks (GNNs) have gained popularity in various fields, such as recommendation systems, social network analysis and fraud detection. However, despite their effectiveness, the topological nature of GNNs makes it challenging for users to understand the model predictions. To address this challenge, we built a user-friendly UI to visualize the most important relationships for both homogeneous
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.