From the 1 of 4 linked papers with an AI index.
4 papers
Taming Scope Extrusion in Gradual Imperative Metaprogramming
Tianyu Chen, Darshal Shetty, Jeremy G. Siek +4
The paper introduces a gradual metaprogramming language that supports mutable references while guaranteeing scope safety, using dynamic enforcement of environment classifiers via a…
Intelligent Elastic Feature Fading: Enabling Model Retrain-Free Feature Efficiency Rollouts at Scale
Jieming Di, Xiaoyu Chen, Ying She +21
Large-scale ranking systems depend on thousands of features derived from user behavior across multiple time horizons. Typically requires model retraining -- resulting in long itera…
Gradual Metaprogramming
Tianyu Chen, Darshal Shetty, Jeremy G. Siek +4
Data engineers increasingly use domain-specific languages (DSLs) to generate the code for data pipelines. Such DSLs are often embedded in Python. Unfortunately, there are challenge…
External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation
Mingfu Liang, Xi Liu, Rong Jin +104
Ads recommendation is a prominent service of online advertising systems and has been actively studied. Recent studies indicate that scaling-up and advanced design of the recommenda…