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
81.15/100
前 1.3%
全站排名 #821
发表论文19 篇
平均评分
年均产出6.3 篇/年
Ludwig Schmidt
研究方向
language models · datasets · foundation models · large pre-trained models · CLIP · image-text models · distribution shift · evaluation · deep learning · robustness · adversarial examples · loss functions · softmax · approximate nearest neighbor · locality sensitive hashing · compressive sensing · sparse recovery · sparse linear regression · high-dimensional statistics
10
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
ICLR 2026Poster
通讯13
OpenThoughts: Data Recipes for Reasoning Models
ICLR 2026Oral
通讯12
Reusing Pre-Training Data at Test Time is a Compute Multiplier
ICLR 2026Poster
24
PRISM-Physics: Causal DAG-Based Process Evaluation for Physics Reasoning
ICLR 2026Poster
16
Closing the Modality Gap for Mixed Modality Search
ICLR 2026Rejected
6
Understanding the Fine-Grained Knowledge Capabilities of Vision-Language Models
ICLR 2026Rejected
三作6
Concept-Aware Batch Sampling Improves Language-Image Pretraining
ICLR 2026Withdrawn
17
Datasets, Documents, and Repetitions: The Practicalities of Unequal Data Quality
NeurIPS 2025Poster
14
Language models scale reliably with over-training and on downstream tasks
ICLR 2025Poster
通讯20
Recycling the Web: A Method to Enhance Pre-training Data Quality and Quantity for Language Models
COLM 2025Poster
27
Should VLMs be Pre-trained with Image Data?
ICLR 2025Poster