Uncertainty based selection of compatible inputs

Behavioral Trust Clustering a thermodynamic governance layer that reduces LLM hallucination by 52% on HumanEval. Drop-in wrapper for any decoder. MIT.

We show that a model owner can artificially introduce uncertainty into their model and provide a corresponding detection mechanism.

Reproducible MEDAI deferral simulation (AIRI 2026). Synthetic research code.

Investigation of how sampling strategies affect Selective Prediction performance in Multi Task Learning

Framework for feature-space OOD detection, confidence tiering, and automated remediation.

Code Repository for SCoRE paper

Deepfake detection with Bayesian uncertainty quantification, selective prediction, and an interactive Streamlit demo.

Code for our paper analyzing the looseness of the upper bound on selective classification performance.

A leakage-controlled, paired-bootstrap-rigorous study of whether an LLM's internal TopK Sparse Autoencoder (SAE) feature spaces encode a difficulty-predictive routing signal. Benchmarked on HellaSwag (rigorous predictive null) and SQuAD continuous perplexity (positive Pareto cascade), with Platt recalibration and causal ablatings.

A comprehensive library for uncertainty quantification in machine learning.

Reproducible pipeline for silent-failure auditing in ECG accept-sets (MIT-BIH) with Newton–Puiseux onset scoring

Transform enrichment outputs into verifiable pathway claims via stability distillation, evidence modules, and mechanical PASS/ABSTAIN/FAIL audits.

BoundaryBench: Benchmark + tool-augmented method for boundary containment under GPS noise

Reliable medical QA with Mistral-7B, QLoRA, selective prediction, and learned abstention via warm-start SFT + DPO.

Trustworthy medical image classification: noise-robust ConvNeXt-Tiny with 83.5% accuracy, calibrated selective prediction, HAM10000 + ISIC 2019.