Author

Yi Wu

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#artificial intelligence Preprint Sep 2026

Lightweight Ranking Heads: Accelerating Multi-Task Experimentation in Production Recommender Systems

Modern production-scale recommender systems rely on complex, multi-task ranking models. Introducing new prediction tasks into these massive systems often causes bottlenecks - it risks negative task conflicts with existing tasks, and can lead to long development and experimentation cycles due to the expensive retraining...

Sanjay Surendranath Girija, Aniruddh Nath, Li Wei et al. · 0 citations

#machine learning Preprint Sep 2026

Code-to-Harness: Distilling Black-Box Optimizers from Self-Play

Can an agent learn a numerical search strategy through executable practice and then transfer that strategy as text? We study low-budget black-box optimization, where unaided language models remain well below strong classical optimizers. During development, an agent repeatedly writes and evaluates optimizer programs. It...

Yi Wu, Zheng Ren, Zhi-Yu Hu et al. · 0 citations