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https://www.businesswire.com/news/home/20210824005063/en/Global-Leader-in-Active-Alignment-Kasalis-Announces-New-Branding-and-Website Global Leader in Active Alignment, Kasalis, Announces New Branding and Website Kasalis (www.kasalis.com), a proven market leader of global solutions for the active alignment, assembly and test of optical devices, announced today the re-... global leader active alignment new branding https://www.michigan.gov/mde/services/ed-serv/ed-cert/educator-preparation-providers/specialty-program-standards/active-endorsements-mttc Active Endorsements and MTTC Alignment active endorsements mttc alignment https://www.bu.edu/pardeeschool/2022/09/14/heine-joins-webinar-on-active-non-alignment-doctrine/ Heine Joins Webinar on Active Non-Alignment Doctrine | The Frederick S. Pardee School of Global... https://www.securitymagazine.com/articles/82606-business-evolution-requires-active-security-alignment Business Evolution Requires Active Security Alignment | 2011-12-01 | Security Magazine Business continues to change, and if the next generation of security leaders hopes to succeed, they must be prepared to change with it, says Dick Lefler,... business evolution 2011 12 requires active security https://easychair.org/publications/preprint/2Pks/english More Precise SLAM Using Controlled Filter Augmented with Active Alignment precise slam using controlled filter https://arxiv.org/abs/2404.07604 [2404.07604] Novel Active Sensing and Inference for mmWave Beam Alignment Using Single RF Chain... Abstract page for arXiv paper 2404.07604: Novel Active Sensing and Inference for mmWave Beam Alignment Using Single RF Chain Systems https://openreview.net/forum?id=GSyX4amBFR Active Reward Modeling: Adaptive Preference Labeling for Large Language Model Alignment | OpenReview Building neural reward models from human preferences is a pivotal component in reinforcement learning from human feedback (RLHF) and large language model... large language model reward modeling https://arxiv.org/abs/2312.00267 [2312.00267] Sample Efficient Preference Alignment in LLMs via Active Exploration Abstract page for arXiv paper 2312.00267: Sample Efficient Preference Alignment in LLMs via Active Exploration 2312 00267 sample efficient preference