Picture for Eric Wu

Eric Wu

FineTuneBench: How well do commercial fine-tuning APIs infuse knowledge into LLMs?

Add code
Nov 07, 2024
Viaarxiv icon

How faithful are RAG models? Quantifying the tug-of-war between RAG and LLMs' internal prior

Add code
Apr 16, 2024
Viaarxiv icon

What's documented in AI? Systematic Analysis of 32K AI Model Cards

Add code
Feb 07, 2024
Viaarxiv icon

How well do LLMs cite relevant medical references? An evaluation framework and analyses

Add code
Feb 03, 2024
Viaarxiv icon

DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models

Add code
Oct 02, 2023
Viaarxiv icon

GPT detectors are biased against non-native English writers

Add code
Apr 18, 2023
Viaarxiv icon

Explaining medical AI performance disparities across sites with confounder Shapley value analysis

Add code
Nov 12, 2021
Figure 1 for Explaining medical AI performance disparities across sites with confounder Shapley value analysis
Figure 2 for Explaining medical AI performance disparities across sites with confounder Shapley value analysis
Figure 3 for Explaining medical AI performance disparities across sites with confounder Shapley value analysis
Figure 4 for Explaining medical AI performance disparities across sites with confounder Shapley value analysis
Viaarxiv icon

Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms

Add code
May 29, 2020
Figure 1 for Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms
Figure 2 for Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms
Figure 3 for Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms
Figure 4 for Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms
Viaarxiv icon

Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach

Add code
Dec 27, 2019
Figure 1 for Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach
Figure 2 for Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach
Figure 3 for Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach
Figure 4 for Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach
Viaarxiv icon

Validation of a deep learning mammography model in a population with low screening rates

Add code
Nov 01, 2019
Figure 1 for Validation of a deep learning mammography model in a population with low screening rates
Figure 2 for Validation of a deep learning mammography model in a population with low screening rates
Figure 3 for Validation of a deep learning mammography model in a population with low screening rates
Viaarxiv icon