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. https://getnews.me/weak-supervision-method-improves-stability-of-in-context-learning/ #weaksupervision #incontextlearning
September 22, 2025 at 8:00 PM
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. https://getnews.me/weak-supervision-method-improves-stability-of-in-context-learning/ #weaksupervision #incontextlearning
A new ERM framework unifies N‑tuple comparisons with pointwise unlabeled data, providing an unbiased risk estimator that boosts benchmark performance. Read more: https://getnews.me/unified-empirical-risk-minimization-for-flexible-n-tuples-weak-supervision/ #weaksupervision #ntuples #erm
September 30, 2025 at 2:17 AM
A new ERM framework unifies N‑tuple comparisons with pointwise unlabeled data, providing an unbiased risk estimator that boosts benchmark performance. Read more: https://getnews.me/unified-empirical-risk-minimization-for-flexible-n-tuples-weak-supervision/ #weaksupervision #ntuples #erm
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: https://getnews.me/weak-supervision-detects-recreational-drug-effects-on-twitter/ #weaksupervision #drugmonitoring #publichealth
September 22, 2025 at 4:52 AM
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: https://getnews.me/weak-supervision-detects-recreational-drug-effects-on-twitter/ #weaksupervision #drugmonitoring #publichealth