Customer-obsessed science
Research areas
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July 30, 20268 min readInstead of compromising among parameter updates dictated by different training objectives, ControlG allocates computational capacity to objectives sequentially and dynamically. -
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July 9, 202610 min read
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Featured news
The Build on Trainium program is a $110 million credit initiative supporting AI research at 30 universities including Stanford, UC Berkeley, UIUC, UCLA, CMU, and MIT, with a focus on Responsible AI.
The Antibody Developability Benchmark is powered by one of the most diverse antibody datasets in public literature, enabling transparent performance evaluation for AI-guided antibody design.
Challenge pushes teams to demonstrate measurable gains in secure-coding performance while building AI agents that advance real-world utility and reliability at scale.
Initiative will fund over 100 doctoral students researching machine learning, computer vision, and natural-language processing at nine universities.
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The Web Conference 20212021Query rewriting (QR), which aims to improve the shopping experience by reformulating ambiguous customer input queries into well-formed queries, is a critical component of modern e-commerce search engines. In this work, we present a practical deep learning solution, named as Query Understanding EnhancEd mechaNism (QUEEN), to the large-scale query rewriting problem in e-commerce search engines. QUEEN incorporates
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The Web Conference 2021 Workshop on Multilingual Search2021Query Language identification is an important part of a multilingual product search system. However, accurate language identification in product searches is difficult due to multiple reasons, including presence of noise in available datasets. In this work, we propose a learning framework that combines weak supervision with noisy label pruning. We use Convolutional Neural Networks (CNN) based models to carry
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NAACL 20212021Nowadays, with many e-commerce platforms conducting global business, e-commerce search systems are required to handle product retrieval under multilingual scenarios. Moreover, comparing with maintaining per-country specific e-commerce search systems, having a universal system across countries can further reduce the operational and computational costs, and facilitate business expansion to new countries.
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NAACL 20212021Frame-based state representation is widely used in modern task-oriented dialog systems to model user intentions and slot values. However, a fixed design of domain ontology makes it difficult to extend to new services and APIs. Recent work proposed to use natural language descriptions to define the domain ontology instead of tag names for each intent or slot, thus offering a dynamic set of schema. In this
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MIT Sloan School Sports Analytics Conference 20212021Defensive players in football have complex trajectory patterns that are hard to accurately model and evaluate. This is due to the defenders’ inherently reactive role, which requires them to dynamically respond to offensive strategies and on-the-spot decisions by the quarterback. Amongst defensive players, defensive backs are the most challenging to model. They often travel long distances during passing
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Gretchen Ertl
The program offers unrestricted funds and other resources to support research at academic institutions and non-profit organizations in areas that align with our mission.
A global university competition to drive secure innovation in generative AI technology, which focuses on responsible AI and large language model coding security.
Credit: Wolfram Scheible
We partner with particular academic organizations across the world for deep and sustained collaborations in multiple research areas of mutual interest.
Courtesy of Pai-Ling Yin
We hire world-class academics to work on large-scale technical challenges, while they continue to teach and conduct research at their universities.
