1 citations · 1 across the 4 of their papers we have counts for
5 papers
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…
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…
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…
Can LLMs Address Mental Health Questions? A Comparison with Human Therapists
Synthia Wang, Yuwei Cheng, Austin Song +3
Limited access to mental health care has motivated the use of digital tools and conversational agents powered by large language models (LLMs), yet their quality and reception remai…
Learning from Imperfect Human Feedback: a Tale from Corruption-Robust Dueling
Yuwei Cheng, Fan Yao, Xuefeng Liu +1
This paper studies Learning from Imperfect Human Feedback (LIHF), addressing the potential irrationality or imperfect perception when learning from comparative human feedback. Buil…