Weixin Liang

Advances, challenges and opportunities in creating data for trustworthy AI

2022 · 477 Zit. · Nature Machine Intelligence

GPT detectors are biased against non-native English writers

2023 · 377 Zit. · Patterns

Can Large Language Models Provide Useful Feedback on Research Papers? A Large-Scale Empirical Analysis

2024 · 143 Zit. · NEJM AI

Characterizing the Clinical Adoption of Medical AI Devices through U.S. Insurance Claims

2023 · 80 Zit. · NEJM AI

Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews

2024 · 63 Zit. · arXiv (Cornell University)

Can large language models provide useful feedback on research papers? A large-scale empirical analysis

2023 · 42 Zit. · arXiv (Cornell University)

Systematic analysis of 32,111 AI model cards characterizes documentation practice in AI

2024 · 10 Zit. · Nature Machine Intelligence

Author Correction: Advances, challenges and opportunities in creating data for trustworthy AI

2022 · 5 Zit. · Nature Machine Intelligence

Characterizing the clinical adoption of medical AI through U.S. insurance claims

2023 · 4 Zit. · medRxiv