most citedScaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems

1 citations · 1 across the 4 of their papers we have counts for

collaborators
Showing cs.CLShow all

2 papers · 1 filter

cs.CL2026

Grounded Token Initialization for New Vocabulary in LMs for Generative Recommendation

Daiwei Chen, Zhoutong Fu, Chengming Jiang +12

Language models (LMs) are increasingly extended with new learnable vocabulary tokens for domain-specific tasks, such as Semantic-ID tokens in generative recommendation. The standar…

cs.CL2025

LANTERN: Scalable Distillation of Large Language Models for Job-Person Fit and Explanation

Zhoutong Fu, Yihan Cao, Yi-Lin Chen +16

Large language models (LLMs) have achieved strong performance across a wide range of natural language processing tasks. However, deploying LLMs at scale for domain specific applica…