Causal Matching with Text Embeddings: A Case Study in Estimating the Causal Effects of Peer Review Policies. - Raymond Zhang; Neha Nayak Kennard; Daniel Scott Smith; Daniel A. McFarland; Andrew McCallum; Katherine Keith (ACL (Findings), 2023)

Can large language models provide useful feedback on research papers? A large-scale empirical analysis. - Weixin Liang; Yuhui Zhang; Hancheng Cao; Binglu Wang; Daisy Ding; Xinyu Yang 002; Kailas Vodrahalli; Siyu He; Daniel Scott Smith; Yian Yin; Daniel A. McFarland; James Zou 001 (CoRR, 2023)

What's documented in AI? Systematic Analysis of 32K AI Model Cards. - Weixin Liang; Nazneen Rajani; Xinyu Yang 002; Ezinwanne Ozoani; Eric Wu; Yiqun Chen 001; Daniel Scott Smith; James Zou 001 (CoRR, 2024)

Systematic analysis of 32,111 AI model cards characterizes documentation practice in AI. - Weixin Liang; Nazneen Rajani; Xinyu Yang 002; Ezinwanne Ozoani; Eric Wu; Yiqun Chen 001; Daniel Scott Smith; James Zou 001 (Nat. Mac. Intell., 2024)

"You Cannot Sound Like GPT": Signs of language discrimination and resistance in computer science publishing. - Haley Lepp; Daniel Scott Smith (FAccT, 2025)