Summary
The AI/ML academic community is expressing significant concerns over the declining quality and increasing randomness of conference and journal review processes. Researchers frequently encounter reviewers who reject papers based on misunderstandings or arbitrary citation demands, with meta-reviewers often failing to intervene. This discussion highlights a critical challenge within academic publishing and seeks to identify venues with more reliable and fair review systems.
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[r/ML] [D] MYTHOS-INVERSION STRUCTURAL AUDIT
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