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cs.IR2025
RecoWorld: Building Simulated Environments for Agentic Recommender Systems
Fei Liu, Xinyu Lin, Hanchao Yu +12
We present RecoWorld, a blueprint for building simulated environments tailored to agentic recommender systems. Such environments give agents a proper training space where they can…
cs.CV2025
Inference Compute-Optimal Video Vision Language Models
Peiqi Wang, ShengYun Peng, Xuewen Zhang +5
This work investigates the optimal allocation of inference compute across three key scaling factors in video vision language models: language model size, frame count, and the numbe…
cs.IR2025
Towards An Efficient LLM Training Paradigm for CTR Prediction
Allen Lin, Renqin Cai, Yun He +5
Large Language Models (LLMs) have demonstrated tremendous potential as the next-generation ranking-based recommendation system. Many recent works have shown that LLMs can significa…