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Daniel Scott Smith

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Conference and Workshop Papers

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2023
[c1]
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  dblp key:
  - conf/acl/ZhangKSMMK23
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  - https://dblp.org/rec/conf/acl/ZhangKSMMK23
Raymond Zhang, Neha Nayak Kennard, Daniel Scott Smith, Daniel A. McFarland, Andrew McCallum, Katherine Keith:
Causal Matching with Text Embeddings: A Case Study in Estimating the Causal Effects of Peer Review Policies. ACL (Findings) 2023: 1284-1297

Informal and Other Publications

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2024
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  - journals/corr/abs-2402-05160
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  - https://dblp.org/rec/journals/corr/abs-2402-05160
Weixin Liang, Nazneen Rajani, Xinyu Yang, Ezinwanne Ozoani, Eric Wu, Yiqun Chen, Daniel Scott Smith, James Zou:
What's documented in AI? Systematic Analysis of 32K AI Model Cards. CoRR abs/2402.05160 (2024)
2023
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  - journals/corr/abs-2310-01783
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Weixin Liang, Yuhui Zhang, Hancheng Cao, Binglu Wang, Daisy Ding, Xinyu Yang, Kailas Vodrahalli, Siyu He, Daniel Scott Smith, Yian Yin, Daniel A. McFarland, James Zou:
Can large language models provide useful feedback on research papers? A large-scale empirical analysis. CoRR abs/2310.01783 (2023)

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