Commit History
3 days ago
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Retrained with fp32 master weights: 0.8908 mean nDCG@10 on the nine Korean tasks (was 0.8800)
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5 days ago
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HTML result tables, KURE rows in crimson
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Show usage unfolded, fold the per-dataset tables
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12 days ago
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Pin the figure legend to the plot's top-right corner
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Update evaluation: PublicHealthQA/Belebele re-evaluated on corrected BM25 pools
Verified signature- PublicHealthQA and BelebeleRetrieval were scored against another query's BM25 candidates (the benchmark's mteb 1.x pools used per-process query ids); both are re-evaluated for every model, Belebele on its kor_Hang-kor_Hang subset. - Tables, key numbers and the figure updated; KURE-Reranker models drawn as stars. - Model weights are unchanged.dd38901
23 days ago
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Update evaluation: official Qwen3-Reranker and KaLM-Reranker-V1-Large-R2 added, seq-cls variants and ettin removed
Verified signature- Tables now use the official Qwen/Qwen3-Reranker-{0.6B,4B,8B} instead of the tomaarsen seq-cls conversions, add KaLM-Embedding/KaLM-Reranker-V1-Large-R2, and drop cross-encoder/ettin-reranker-1b-v1 (not multilingual). - New figure; caption notes the non-uniform x-axis. - PPS note: same ~550 sampled pairs per task for every model; KaLM uses sdpa. - Model weights are unchanged.53e42a4
24 days ago
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Move the figure legend slightly left of the x=1000 tick
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Align the figure legend with the x=1000 tick
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Use full KURE-Reranker names in the figure and fix a missing space in the PPS note
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Update README.md
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Update KURE-Reranker-base weights (bf16), model card and assets
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Add new CrossEncoder model
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initial commit
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