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
46.81/100
前 10%
全站排名 #6,423
发表论文7 篇
平均评分
年均产出3.5 篇/年
Taco Cohen
研究方向
reinforcement learning · large language models · code generation · generative models · deep generative models · data compression · group theory · representation theory · equivariant networks · deep learning · representation learning · unsupervised learning · causality · causal representation learning
18
UMA: A Family of Universal Models for Atoms
NeurIPS 2025Spotlight
22
What Makes Large Language Models Reason in (Multi-Turn) Code Generation?
ICLR 2025Poster
28
The KoLMogorov Test: Compression by Code Generation
ICLR 2025Poster
通讯9
RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning
ICML 2025Spotlight
13
RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning
ICLR 2025Rejected
10
Does equivariance matter at scale?
ICLR 2025Rejected
通讯