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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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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2025Large Language Models (LLMs) have shown promise in structured prediction tasks, including regression, but existing approaches primarily focus on point estimates and lack systematic comparison across different methods. We investigate probabilistic regression using LLMs for unstructured inputs, addressing challenging text-to-distribution prediction tasks such as price estimation where both nuanced text understanding
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WSC 20252025Material flow simulation and emulation are essential tools used in warehouse automation design and commissioning, to create warehouse digital twin and validate equipment control logic. The current suite of emulation platforms lack internal computer vision (CV) toolkit that poses a challenge for emulating vision-based control system behavior which requires real-time image processing capability. This paper
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2025Benchmark design plays a critical role in advancing large language models (LLMs) by providing systematic frameworks to measure, compare, and improve their capabilities across diverse tasks. While existing benchmarks have driven progress in areas such as factual question answering, code synthesis, and scientific problem solving, there remains a notable lack of benchmarks tailored to evaluate LLMs in real-world
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ACSAC Workshop on AI for Cyber Threat Intelligence (WAITI) 20252025Cloud technology adoption has intensified the impact of server-side script attacks, exposing organizations to greater risks against system and data integrity. These server-side scripts in languages like Python, Perl and Bash that operate on server runtime environments can steal data, compromise credentials, and disrupt operations. Unlike executables with standardized formats (e.g., ELF, PE), scripts are
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ICML 2025 Workshop on Foundation Models for Structured Data2025We propose AdaRec, a few-shot in-context learning framework that leverages Large Language Models (LLMs) for an adaptive personalized recommendation. AdaRec introduces narrative profiling, transforming user-item interactions into natural language representations to enable unified task handling and enhance human readability. Centered on a bivariate reasoning paradigm, AdaRec employs a dual-channel architecture
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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.
