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
50.07/100
前 8.5%
全站排名 #5,495
发表论文7 篇
平均评分
年均产出7.0 篇/年
Eric Zelikman
研究方向
reasoning · large language models · chain-of-thought · scratchpads · tool use · probabilistic / bayesian machine learning · uncertainty · reinforcement learning · intrinsic motivation · biologically plausible machine learning · representation learning · generative models · natural language processing
13
Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation
COLM 2024Poster
一作11
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
COLM 2024Poster
一作18
Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation
ICLR 2024Rejected
一作14
ContextRef: Evaluating Referenceless Metrics for Image Description Generation
ICLR 2024Poster
二作14
Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels
NeurIPS 2024Poster
二作16
Certified Deductive Reasoning with Language Models
ICLR 2024Rejected
三作21
Hypothesis Search: Inductive Reasoning with Language Models
ICLR 2024Poster
二作