3 papers
cs.CL2026
Fine-Tuning Improves Information Conveyance in Language Models
Yuwei Cheng, Weiyi Tian, Haifeng Xu
Fine-tuning is often believed to reduce uncertainty and diversity in large language models, but existing analyses overlook output length, a key confounder, and therefore fail to ca…
cs.LG2025
Learning Personalized Ad Impact via Contextual Reinforcement Learning under Delayed Rewards
Yuwei Cheng, Zifeng Zhao, Haifeng Xu
Online advertising platforms use automated auctions to connect advertisers with potential customers, requiring effective bidding strategies to maximize profits. Accurate ad impact…
stat.ML2025
Escaping Model Collapse via Synthetic Data Verification: Near-term Improvements and Long-term Convergence
Bingji Yi, Qiyuan Liu, Yuwei Cheng +1
Synthetic data has been increasingly used to train frontier generative models. However, recent studies raise key concerns that iteratively retraining a generative model on its self…