Customer-obsessed science

Real-time bidding (RTB) in sponsored search advertising has been extensively studied, yet a critical gap remains: how should advertisers set optimal bids in Manual Targeting (MT) campaigns where bids must be specified upfront without real-time adjustment? Unlike Automated Targeting campaigns that dynamically modify bids based on auction context, MT campaigns, which account for nearly 30% of advertisers

Direct Preference Optimization (DPO) has emerged as a simple and effective approach for aligning models with human preferences. However, existing DPO-based methods suffer from 3 key drawbacks: they rely on only a single positive-negative preference pair per question, restricting the diversity and richness of feedback; they often emphasize minimizing negative preference scores while neglecting to strengthen

Modeling building thermal dynamics is essential for energy optimization, yet building heterogeneity and non-stationary dynamics demand per-building customization that typically requires expert intervention. Automated scientific discovery workflows powered by Large Language Models (LLM) could significantly decrease the human expertise requirements for generating custom thermal models at scale, but their

We show that the standard basis of transformer hidden states already provides a training-free, architecture-general feature basis. Individual dimensions encode semantic content via their signs (±1) and confidence via their magnitudes, functioning as independent binary registers. A feature is simply a subset of dimensions with a consistent sign pattern, readable by counting sign agreements with no learned

Multi-agent trajectory generation in team sports requires models that capture both the diversity of possible plays and realistic spatial coordination between players on plays. Standard generative approaches such as Conditional Variational Autoencoders (CVAE) and diffusion models struggle with this task, exhibiting posterior collapse or convergence to the dataset mean. Moreover, most trajectory prediction