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
71.85/100
前 2.3%
全站排名 #1,493
发表论文14 篇
平均评分
年均产出4.7 篇/年
Stella Biderman
研究方向
natural language processing · large language models · deep learning · geometric deep learning · manifold learning · computational social science · topic models · social network analysis · game theory · computational political science
9
Who Measures What Matters? An Analysis of Social Impact Evaluations in Foundation Model Reporting
ICLR 2026Desk Rejected
16
Deep Ignorance: Filtering Pretraining Data Builds Tamper-Resistant Safeguards into Open-Weight LLMs
ICLR 2026Poster
通讯6
When AI Co‑Scientists Fail: SPOT—a Benchmark for Automated Verification of Scientific Research
ICLR 2026Rejected
通讯20
Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon
ICLR 2025Poster
12
PolyPythias: Stability and Outliers across Fifty Language Model Pre-Training Runs
ICLR 2025Poster
通讯18
Bridging the Data Provenance Gap Across Text, Speech, and Video
ICLR 2025Poster
18
Explaining and Mitigating Crosslingual Tokenizer Inequities
NeurIPS 2025Poster
三作21
Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?
ICLR 2025Rejected
8
Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?
ICML 2025Poster