Comment on arXiv:2607.01233: Survivorship Bias in Published-Paper Baselines for Research-Idea Distributions
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Computer Science > Computation and Language
arXiv:2609.15996 (cs)
[Submitted on 9 Jul 2026]
Title:Comment on arXiv:2607.01233: Survivorship Bias in Published-Paper Baselines for Research-Idea Distributions
Authors:Fredrik A. Dahl
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Abstract:Chen, Zhao, and Cohan introduce a valuable distributional evaluation of LLM-generated research ideas. This comment raises a narrower identification concern: their human baseline consists of published papers, whereas the LLM baseline consists of one-shot proposals. If bridge-like or synthesis-like ideas are relatively easy to generate but relatively unlikely to survive publication, then the published human baseline will understate their prevalence in the unseen human idea pool. The observed human--LLM gap may therefore be partly, or even largely, a consequence of survivorship bias.
| Comments: | 2 pages, 1 figure. Comment on arXiv:2607.01233 |
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2609.15996 [cs.CL] |
| (or arXiv:2609.15996v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2609.15996
arXiv-issued DOI via DataCite
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View a PDF of the paper titled Comment on arXiv:2607.01233: Survivorship Bias in Published-Paper Baselines for Research-Idea Distributions, by Fredrik A. Dahl
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