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
64.71/100
前 3.6%
全站排名 #2,337
发表论文15 篇
平均评分
年均产出5.0 篇/年
Nabeel Seedat
研究方向
large language models · data-centric AI · evaluations · uncertainty estimation
16
Tables2Traces: Distilling Tabular Data to Improve LLM Reasoning in Healthcare
ICLR 2026Rejected
二作18
Scales++: Compute Efficient Evaluation Subset selection with Cognitive Scales Embeddings
ICLR 2026Rejected
三作15
Structure Guided Equation Discovery with Influence-Based Feedback for Large Language Models
ICLR 2026Desk Rejected
三作10
Reasoning on auto-verifiable, scalable, multi-step synthetic tasks
ICLR 2026Desk Rejected
二作