3 papers
cs.AI2026
PromptPack: Scaling LLM Annotation Agents for Online Recommendation
Sebastian Koralewski, Merwan Barlier, Yulia Stolin +1
Online recommendation platforms increasingly use Large Language Models (LLMs) to extract structured features from ad creatives. While deploying a single-call LLM annotation agent y…
cs.IR2025
Practical Multi-Task Learning for Rare Conversions in Ad Tech
Yuval Dishi, Ophir Friedler, Yonatan Karni +2
We present a Multi-Task Learning (MTL) approach for improving predictions for rare (e.g., <1%) conversion events in online advertising. The conversions are classified into "rare" o…
cs.IR2025
DCN^2: Interplay of Implicit Collision Weights and Explicit Cross Layers for Large-Scale Recommendation
Blaž Å krlj, Yonatan Karni, Grega GaÅ¡perÅ¡iÄ +8
The Deep and Cross architecture (DCNv2) is a robust production baseline and is integral to numerous real-life recommender systems. Its inherent efficiency and ability to model inte…