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SIGIR Reproducibility Guidelines

sigir-reproducibility

brycewang-stanford/Awesome-Journal-Skills

A comprehensive guide for ensuring the reproducibility of Information Retrieval (IR) research, essential for SIGIR submissions. It details best practices for pinning data collection versions, index settings, neural model hyperparameters, and managing non-determinism. It helps researchers document artifacts—not just promises—to validate reported gains.

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