KDD 2026 Cycle 2 reviews drop, rebuttal begins

KDD's dual-cycle submission model continues to strain the peer-review system, with authors facing increasingly high bars for acceptance amidst a global surge in research volume.

• –The two-cycle system aims to reduce reviewer load but still faces criticism for significant variance in review quality and "noisy" feedback.
• –Author rebuttals have become a high-stakes specialized skill, requiring researchers to pivot from technical work to strategic advocacy within a 14-day window.
• –The introduction of specialized tracks like AI4Sciences reflects the conference's expansion into interdisciplinary AI applications, though reviewer matching remains a challenge.
• –Community sentiment on platforms like Reddit highlights a growing weariness with the stochastic nature of peer review in top-tier ML conferences.