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Gricea's pitch for more reproducible AI research

A post promoting Gricea claims 97% of recent conference papers had replication issues, presenting the service as a way to address the problem.

Daniel Khashabi 🕊️DK
Nikhil Sharma ༗NS
2 Sources, 20d ago, first seen 20d ago

TLDR

A post argues that building cumulative knowledge about AI's impact on people requires reproducible studies and evaluations. It claims 97% of recent conference papers had replication issues, promotes Gricea as a solution and links to an arXiv paper.

Combined views

1.3K

2 Sources, first seen 20d ago

29 likes1 comments2 saves21 reposts

Combined views

1.3K

2 Sources, first seen 20d ago

29 likes1 comments2 saves21 reposts

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2 Sources

Nikhil Sharma ༗@nikhilsksharmaWe can't build cumulative knowledge about #AI's impact on humans if we can't reproduce studies and evals ‼️ 97% of recent conference papers had replication issues👇 http://gricea.com is built to solve this problem 📄 http://arxiv.org/pdf/2609.22039 #HCI #NLProc #OpenScience20d
Daniel Khashabi 🕊️@DanielKhashabiRT @nikhilsksharma: We can't build cumulative knowledge about #AI's impact on humans if we can't reproduce studies and evals ‼️ 97% of rec…20d
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    2 Sources

    Nikhil Sharma ༗@nikhilsksharmaWe can't build cumulative knowledge about #AI's impact on humans if we can't reproduce studies and evals ‼️ 97% of recent conference papers had replication issues👇 http://gricea.com is built to solve this problem 📄 http://arxiv.org/pdf/2609.22039 #HCI #NLProc #OpenScience20d
    Daniel Khashabi 🕊️@DanielKhashabiRT @nikhilsksharma: We can't build cumulative knowledge about #AI's impact on humans if we can't reproduce studies and evals ‼️ 97% of rec…20d
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