Round 1: Completed
Round 2: Completed
final-evaluations: Completed
#nlp
#llm
#predictive_modeling
#behavior_modeling
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| Δ | # | Participants | 🏆 Score | Secondary Score | 📝 Multiple Choice Score | 🧲 Retrieval Score | ✍️ Generation Score | 🥈 Ranking Score | Entries | Last Submission | Submission Trend | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
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01 |
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0.746 | 0.000 | 0.740 | 0.841 | 0.625 | 0.871 | 77 |
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02 |
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0.733 | 0.000 | 0.710 | 0.838 | 0.630 | 0.914 | 302 |
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03 |
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0.728 | 0.000 | 0.713 | 0.843 | 0.610 | 0.855 | 83 |
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04 |
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0.726 | 0.000 | 0.713 | 0.804 | 0.623 | 0.905 | 110 |
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05 |
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0.722 | 0.000 | 0.703 | 0.846 | 0.608 | 0.844 | 21 |
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06 |
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0.713 | 0.000 | 0.695 | 0.813 | 0.618 | 0.845 | 69 |
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06 |
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0.713 | 0.000 | 0.715 | 0.812 | 0.562 | 0.852 | 39 |
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08 |
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0.704 | 0.000 | 0.687 | 0.826 | 0.590 | 0.822 | 30 |
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09 |
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0.701 | 0.000 | 0.692 | 0.789 | 0.594 | 0.825 | 17 |
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10 |
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0.696 | 0.000 | 0.698 | 0.739 | 0.590 | 0.863 | 20 |
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11 |
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0.694 | 0.000 | 0.685 | 0.761 | 0.604 | 0.836 | 38 |
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12 |
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0.683 | 0.000 | 0.656 | 0.797 | 0.585 | 0.846 | 6 |
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13 |
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0.671 | 0.000 | 0.654 | 0.775 | 0.556 | 0.833 | 44 |
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13 |
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0.671 | 0.000 | 0.694 | 0.601 | 0.632 | 0.813 | 34 |
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15 |
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0.670 | 0.000 | 0.667 | 0.727 | 0.585 | 0.776 | 18 |
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16 |
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0.669 | 0.000 | 0.657 | 0.701 | 0.604 | 0.874 | 5 |
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17 |
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0.666 | 0.000 | 0.678 | 0.673 | 0.568 | 0.847 | 22 |
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18 |
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0.654 | 0.000 | 0.583 | 0.839 | 0.602 | 0.820 | 10 |
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19 |
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0.653 | 0.000 | 0.650 | 0.751 | 0.509 | 0.818 | 24 |
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20 |
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0.652 | 0.000 | 0.641 | 0.726 | 0.547 | 0.831 | 15 |
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21 |
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0.641 | 0.000 | 0.645 | 0.647 | 0.576 | 0.792 | 10 |
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22 |
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0.639 | 0.000 | 0.631 | 0.744 | 0.490 | 0.833 | 7 |
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23 |
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0.638 | 0.000 | 0.639 | 0.663 | 0.533 | 0.866 | 6 |
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24 |
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0.630 | 0.000 | 0.627 | 0.611 | 0.584 | 0.842 | 59 |
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25 |
xcc_forsaken
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0.627 | 0.000 | 0.667 | 0.692 | 0.497 | 0.508 | 21 |
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26 |
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0.624 | 0.000 | 0.628 | 0.580 | 0.586 | 0.838 | 30 |
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27 |
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0.616 | 0.000 | 0.624 | 0.583 | 0.563 | 0.805 | 9 |
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28 |
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0.613 | 0.000 | 0.588 | 0.663 | 0.552 | 0.840 | 17 |
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28 |
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0.613 | 0.000 | 0.596 | 0.616 | 0.592 | 0.795 | 25 |
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30 |
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0.608 | 0.000 | 0.581 | 0.623 | 0.588 | 0.838 | 5 |
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31 |
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0.607 | 0.000 | 0.607 | 0.606 | 0.531 | 0.832 | 2 |
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32 |
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0.603 | 0.000 | 0.589 | 0.596 | 0.582 | 0.800 | 20 |
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33 |
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0.589 | 0.000 | 0.585 | 0.614 | 0.491 | 0.841 | 5 |
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34 |
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0.585 | 0.000 | 0.585 | 0.544 | 0.558 | 0.781 | 26 |
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35 |
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0.583 | 0.000 | 0.563 | 0.624 | 0.588 | 0.600 | 9 |
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36 |
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0.575 | 0.000 | 0.546 | 0.597 | 0.569 | 0.761 | 1 |
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37 |
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0.571 | 0.000 | 0.580 | 0.596 | 0.458 | 0.772 | 1 |
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38 |
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0.567 | 0.000 | 0.551 | 0.531 | 0.552 | 0.852 | 16 |
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39 |
yihao1111
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0.561 | 0.000 | 0.578 | 0.558 | 0.466 | 0.719 | 1 |
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40 |
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0.436 | 0.000 | 0.361 | 0.495 | 0.464 | 0.771 | 1 |
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41 |
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0.375 | 0.000 | 0.407 | 0.238 | 0.343 | 0.619 | 1 |
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42 |
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0.229 | 0.000 | 0.257 | 0.135 | 0.230 | 0.285 | 22 |
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