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
2.22/100
超过 6.2%
全站排名 #60,407
发表论文8 篇
平均评分
年均产出2.7 篇/年
Tejaswini Pedapati
研究方向
Model compression · Efficient Fine-tuning · Neural Architecture Search
23
Large Language Models can Become Strong Self-Detoxifiers
ICLR 2025Poster
26
Large Language Model Confidence Estimation via Black-Box Access
ICLR 2025Rejected
一作30
ADAPT: Adaptive Prompt Tuning for Pre-Trained Vision-Language Models
ICLR 2025Rejected
二作17
Sparse Gradient Compression for Fine-Tuning Large Language Models
ICLR 2025Withdrawn
三作