Customer-obsessed science

Enabling robots to grasp objects specified through natural language is essential for effective human–robot interaction, yet it remains a significant challenge. Existing approaches often struggle with open–form language expressions and typically assume unambiguous target objects without duplicates. Moreover, they frequently rely on costly, dense pixel–wise annotations for both object grounding and grasp

Personalization is a key requirement for most customer experiences in a music streaming service, such as landing page, station song sequencing, or search. A common approach is to develop dedicated personalization ML models, one for each experience, that directly integrate with all the personalization signals alongside experience-specific signals. However, this is not scalable as it is costly for each product

With the increasing size of datasets used for training neural networks, data pruning has gained traction in recent years. However, most current data pruning algorithms are limited in their ability to preserve accuracy compared to models trained on the full data, especially in high pruning regimes. In this paper we explore the application of data pruning while incorporating knowledge distillation (KD) when

In this work, we introduce long-video masked-embedding autoencoders (LV-MAE), a self-supervised learning framework for long video representation. Our approach treats short- and long-span dependencies as two separate tasks. Such decoupling allows for a more intuitive video processing where short-span spatiotemporal primitives are first encoded and are then used to capture long-range dependencies across consecutive

Large Language Models (LLMs) often suffer from mode collapse, repeatedly generating the same few completions even when many valid answers exist, limiting their diversity across a wide range of tasks. We introduce Group-Aware Policy Optimization (GAPO), a simple extension of the recent and popular Group Relative Policy Optimization (GRPO) that computes rewards over the group as a whole. GAPO enables learning