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What Factors Should Paper-Reviewer Assignments Rely On? Community Perspectives on Issues and Ideals in Conference Peer-Review
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“These factors lead even the NLP community itself to accord low trust to similarity scores as an assignment criterion (Thorn Jakobsen and Rogers, 2022).”
From What Can Natural Language Processing Do for Peer Review? (2024) · cites this paper as Thorn Jakobsen and Rogers, 2022
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Aczel, B., Szaszi, B., & Holcombe, A. O. (2021) · Research Integrity and Peer Review · doi:10.1186/s41073-021-00118-2 · Cited by 306
Geva, M., Goldberg, Y., & Berant, J. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · doi:10.18653/v1/d19-1107 · Cited by 284
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Collins, A., Tkaczyk, D., Aizawa, A., & Beel, J. (2018) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-78105-1_37 · Cited by 44
Inconsistency in Conference Peer Review: Revisiting the 2014 NeurIPS Experiment
Cortes, C., & Lawrence, N. D. (2021) · arXiv · doi:10.48550/arxiv.2109.09774 · Cited by 15
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What Can Natural Language Processing Do for Peer Review?
Kuznetsov, I., Afzal, O. M., Dercksen, K., Dycke, N., Goldberg, A., Hope, T., Hovy, D., Kummerfeld, J. K., Lauscher, A., Leyton-Brown, K., et al. (2024) · arXiv · doi:10.48550/arxiv.2405.06563 · Cited by 6
Self-citationCo-Reviewer: can AI review like a human? An agentic framework for LLM-human alignment in peer review
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Metadata
- Authors
- Thorn Jakobsen, T., & Rogers, A.
- Venue
- Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Published
- 2022
- Pages
- 4810-4823
- Cited by
- 1
- References
- 5
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