Author

A. Rastogi

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#artificial intelligence Preprint Oct 2026

Personalized LLM Recommendation with Semantic IDs: Autoregressive Beam Search vs. Multi-Token Prediction

The experiments show single-head beam search consistently beats MTP on most product-critical metrics: ranking and content QA, and trains at roughly 2.6x lower dollar cost on Qwen3-8B scale; MTP wins only on raw inference throughput.

Sejoon Oh, Fernando Amat Gil, Evan Smoth-ers et al. · 0 citations

Preprint Aug 2026

GenRec: An LLM-Backed Recommendation Ranker at Netflix

Results from a large-scale A/B test comparing GenRec against the current production ranker model are reported, where it is shown that a GenRec model trained with substantially fewer Phase-2 labeled training examples and input signals can achieve statistically significant gains in offline and online metrics.

Ying Li, Shradha Sehgal, A. Rao et al. · 0 citations