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AsymVerify is a confidence-gated verification system for political evasion detection, achieving 2nd place at SemEval-2026 Task 6 with 0.85 Macro F1. It uses an asymmetric two-verifier design to correct low-confidence predictions, improving over single-pass classification.
Competence Gate is a LoRA adapter for Qwen3.5-4B that uses internal confidence signals to gate tool use (answer, web search, local retrieval), improving error detection and privacy.
This paper identifies structural failure modes in tabular fair semi-supervised learning under confidence gating and proposes Online Primal-Dual Allocation (OPDA) to mitigate them without per-dataset tuning.