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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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Initiative will fund over 100 doctoral students researching machine learning, computer vision, and natural-language processing at nine universities.
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2025In real-world NLP applications, Large Language Models (LLMs) offer promising solutions due to their extensive training on vast datasets. However, the large size and high computation demands of LLMs limit their practicality in many applications, especially when further fine-tuning is required. To address these limitations, smaller models are typically preferred for deployment. However, their training is
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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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Gretchen Ertl
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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
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Courtesy of Pai-Ling Yin
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