1 code implementation • 10 May 2024 • Ilia Kuznetsov, Osama Mohammed Afzal, Koen Dercksen, Nils Dycke, Alexander Goldberg, Tom Hope, Dirk Hovy, Jonathan K. Kummerfeld, Anne Lauscher, Kevin Leyton-Brown, Sheng Lu, Mausam, Margot Mieskes, Aurélie Névéol, Danish Pruthi, Lizhen Qu, Roy Schwartz, Noah A. Smith, Thamar Solorio, Jingyan Wang, Xiaodan Zhu, Anna Rogers, Nihar B. Shah, Iryna Gurevych
We hope that our work will help set the agenda for research in machine-assisted scientific quality control in the age of AI, within the NLP community and beyond.
1 code implementation • 24 Feb 2023 • Dennis Zyska, Nils Dycke, Jan Buchmann, Ilia Kuznetsov, Iryna Gurevych
Recent years have seen impressive progress in AI-assisted writing, yet the developments in AI-assisted reading are lacking.
1 code implementation • 12 Nov 2022 • Nils Dycke, Ilia Kuznetsov, Iryna Gurevych
Peer review constitutes a core component of scholarly publishing; yet it demands substantial expertise and training, and is susceptible to errors and biases.
1 code implementation • 27 Jan 2022 • Nils Dycke, Ilia Kuznetsov, Iryna Gurevych
The shift towards publicly available text sources has enabled language processing at unprecedented scale, yet leaves under-serviced the domains where public and openly licensed data is scarce.
no code implementations • 2 Sep 2021 • Nils Dycke, Edwin Simpson, Ilia Kuznetsov, Iryna Gurevych
Peer review is the primary means of quality control in academia; as an outcome of a peer review process, program and area chairs make acceptance decisions for each paper based on the review reports and scores they received.