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Tay and colleagues: Long Range Arena sequence-model benchmark

Contribution grade

Long-context evaluation · Evaluation resource design

Reference score95,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Introduced a shared long-sequence test suite across text, images and mathematical expressions to compare efficient Transformer designs.

Scientific scope

Introduced a shared long-sequence test suite across text, images and mathematical expressions to compare efficient Transformer designs. Suite-specific model quality and efficiency are not proof of generally useful long-context reasoning. Record concerns benchmark construction, not a current leaderboard.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Suite-specific model quality and efficiency are not proof of generally useful long-context reasoning. Record concerns benchmark construction, not a current leaderboard.

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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