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RocketQA: cross-device negatives and denoised retrieval training

Contribution grade

Dense retrieval training · Human-designed research method or resource

Reference score110,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Combined negatives across GPU batches, filtered likely false negatives with a cross-encoder and used high-confidence pseudo-labeled question/passage pairs in a staged dual-encoder training pipeline.

Scientific scope

Combined negatives across GPU batches, filtered likely false negatives with a cross-encoder and used high-confidence pseudo-labeled question/passage pairs in a staged dual-encoder training pipeline. Teacher scores are imperfect relevance estimates, not certified clean labels. Cross-device communication, teacher inference and staged retraining have costs. Snapshot leaderboard claims do not establish present ranking or all-domain superiority.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Teacher scores are imperfect relevance estimates, not certified clean labels. Cross-device communication, teacher inference and staged retraining have costs. Snapshot leaderboard claims do not establish present ranking or all-domain superiority.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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