Datasets:
dataset card
Browse files
README.md
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@@ -105,10 +105,10 @@ as-of filters of the citation tasks.
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**Baseline protocol caveat.** Fine-tuning on the training split with BM25 hard negatives mined across the whole
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archive (the pre-registered protocol) hurts (MRR@10 0.424 ± 0.008 over 3 seeds vs 0.490 zero-shot). Post-hoc
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controls: random negatives 0.666, random negatives within ±365 days 0.708, date-matched BM25
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addresses", 51% "partially"), plus a date signal. Avoid naive
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to be confirmed on the next test period. Best pre-registered baseline: RRF(BM25, BGE-M3), 0.588.
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Splits are temporal (train 2014–2021, dev 2022–2023, test 2024–2026); 2015 questions are dated from their XML
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header.
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**Baseline protocol caveat.** Fine-tuning on the training split with BM25 hard negatives mined across the whole
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| 107 |
archive (the pre-registered protocol) hurts (MRR@10 0.424 ± 0.008 over 3 seeds vs 0.490 zero-shot). Post-hoc
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controls: random negatives 0.666, random negatives within ±365 days 0.708 (one seed each), date-matched BM25
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negatives 0.637 (3 seeds). Why is not established; plausibly many mined negatives are relevant answers the qrels miss
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(LLM-judged test-query proxy: 18% "directly addresses", 51% "partially"), plus a date signal. Avoid naive
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hard-negative mining here; these results are post hoc, to be confirmed on the next test period. Best pre-registered baseline: RRF(BM25, BGE-M3), 0.588.
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Splits are temporal (train 2014–2021, dev 2022–2023, test 2024–2026); 2015 questions are dated from their XML
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header.
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