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From Retrieval to Typed Decisions: Calibrated System One Models from Biomedical Sentence Encoders

Biomedical retrieval encoders adapt to typed decision models via SBERT2S1, with retrieval pretraining helping residual heads but not cross-heads, and cross-entropy outperforming RLCD by 2.5, 3.0 points after fixing biased reward normalization.

Pritam Deka

Published Oct 1, 2026 · 0 citations · ▲ 11 on Hugging Face · Code

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Revisiting the Negative Data of Distantly Supervised Relation Extraction

Distantly supervised relation extraction treats unlabeled data as negative, but analysis reveals hidden positives and noisy labels cause false negatives. Cleaning negative data improves model training and extraction performance significantly.

Chenhao Xie, Jiaqing Liang, Jingping Liu, Chengsong Huang and 2 more

Published 2021 · 24 citations

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AI panel: 5 of 20 reviewers recommend it
lenient 1/5
medium 3/10
strict 1/5