New checkpoints and voting strategy#114
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Eval run succeeded! Link to run: link Here are the results of the submission(s): Zhuque AI Detection AssistantRelease date: 2026-04-14 I've committed detailed results of this detector's performance on the test set to this PR. On the RAID dataset as a whole (aggregated across all generation models, domains, decoding strategies, repetition penalties, and adversarial attacks), it achieved an AUROC of 99.83 and a TPR of 99.80% at FPR=5% and 98.33% at FPR=1%. If all looks well, a maintainer will come by soon to merge this PR and your entry/entries will appear on the leaderboard. If you need to make any changes, feel free to push new commits to this PR. Thanks for submitting to RAID! |
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Please merge my result, thank you. |
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@Seven178178 Sure thing! congrats on the strong performance again |
I have been fine-tuning the model and optimizing its decision strategy recently; this commit represents a new version of checkpoint and voting strategy.
I forgot to add the voting strategy to the previous pull request(#113), so I closed it and created a new one.