影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
62.67/100
前 4.1%
全站排名 #2,644
发表论文8 篇
平均评分
年均产出2.7 篇/年
Yunzhen Feng
研究方向
Reinforcement Learning · Large Language Model · Data Curation (Data Pruning · Data Distillation) · Probabilistic Machine Learning · Adversarial Robsutness · High Dimensional Statistics
22
Strong Model Collapse
ICLR 2025Spotlight
二作21
Spend Wisely: Maximizing Post-Training Gains in Iterative Synthetic Data Bootstrapping
NeurIPS 2025Spotlight
二作18
Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification
ICLR 2025Poster
一作11
PILAF: Optimal Human Preference Sampling for Reward Modeling
ICML 2025Poster
一作