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
53.3/100
前 7%
全站排名 #4,513
发表论文7 篇
平均评分
年均产出2.3 篇/年
Parshin Shojaee
研究方向
Neuro-symbolic Learning · Scientific Discovery · Program Synthesis · Reasoning · Open-endedness · Large Language Models
16
DecAEvolve: Decompose, Adapt, and Evolve, or Three Pillars of Effective LLM-based Scientific Equation Discovery
ICLR 2026Rejected
二作5
LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers
ICLR 2026Withdrawn
二作-1
SurfaceBench: Can Self-Evolving LLMs Find the Equations of 3D Scientific Surfaces?
ICLR 2026Withdrawn
三作27
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
ICLR 2025Oral
一作11
LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models
ICML 2025Oral
一作24
The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
NeurIPS 2025Poster
一作