Unified Empirical Risk Minimization for Flexible N‑Tuples Weak Supervision

A new ERM framework unifies N‑tuple comparisons with pointwise unlabeled data, providing an unbiased risk estimator that boosts benchmark performance. Read more: getnews.me/unified-empirical-risk-m... #weaksupervision #ntuples #erm

Weak Supervision Method Improves Stability of In-Context Learning

A weak-supervision method adds a tiny adapter to capture demo effects, lowering inference time and stabilizing performance as prompts grow. Accepted at NeurIPS 2025. getnews.me/weak-supervision-method-... #weaksupervision #incontextlearning

Weak Supervision Detects Recreational Drug Effects on Twitter

A study used weak supervision to label over 92,000 tweets on ecstasy, GHB and 2C‑B, and an XGBoost model achieved an F1 score of 0.885 and AUPRC of 0.934. Read more: getnews.me/weak-supervision-detects... #weaksupervision #drugmonitoring #publichealth