Uncertainty based selection of compatible inputs
deep-learning pytorch remote-sensing uncertainty-estimation selective-prediction torchgeo geospatial-ai confidence-scoring
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Jun 14, 2026 - Python
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selective-prediction
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Behavioral Trust Clustering a thermodynamic governance layer that reduces LLM hallucination by 52% on HumanEval. Drop-in wrapper for any decoder. MIT.
abstention openai-api selective-prediction humaneval llm ollama qwen hallucination-mitigation trust-calibration regulated-ai behavioral-clustering
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May 4, 2026 - Python
Guardrails watch what AI says. REMORA governs what AI does. A pre-execution governance layer for AI agent tool calls: ACCEPT, VERIFY, ABSTAIN, ESCALATE, with policy, evidence, uncertainty, and an auditable DecisionEnvelope. Research-grade, open source.
mcp ml thermodynamics opa uncertainty-quantification ai-safety ai-agents audit-trail enterprise-architecture togaf conformal-prediction policy-as-code guardrails opentelemetry lyapunov-stability selective-prediction agentic-ai tool-calling llm-governance multi-oracle
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Jun 11, 2026 - Python
We show that a model owner can artificially introduce uncertainty into their model and provide a corresponding detection mechanism.
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Jun 2, 2025 - Jupyter Notebook
DegradeRisk-Seg: risk-controlled semantic segmentation under degraded multi-modal remote-sensing observations
pytorch calibration remote-sensing semantic-segmentation multimodal-learning risk-control selective-prediction degradation-benchmark
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Jun 4, 2026 - Python
Reliable medical QA with Mistral-7B, QLoRA, selective prediction, and learned abstention via warm-start SFT + DPO.
mistral peft dpo huggingface abstention medical-qa reliable-ai selective-prediction llm medqa qlora llm-safety
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May 31, 2026 - Python
Code and data release for the paper 'Cherry-pick Override: Unsafe Directional Commitment in LLM Judges under Mixed Evidence'
nlp reproducibility fact-checking multi-agent-systems ai-safety conformal-prediction fact-verification abstention selective-prediction llm llm-evaluation llm-as-judge
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Jun 5, 2026 - Python
Interpretable Tsetlin Machine control layer for LLM agents: it learns clause-based routing over frozen embeddings, escalates low-margin queries to a human, and emits a SAT-verifiable receipt for every decision.
propositional-logic intent-classification interpretable-machine-learning tsetlin-machine neuro-symbolic-ai selective-prediction ai-governance out-of-scope-detection llm-routing sat-verification
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Jun 14, 2026 - Python
Code for our paper analyzing the looseness of the upper bound on selective classification performance.
machine-learning uncertainty-quantification rejection abstention selective-classification selective-prediction
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Nov 18, 2025 - Jupyter Notebook
Tsetlin Machines with a certificate on every answer: the exact number of feature flips a prediction survives, computed per sample, with predict-or-abstain when the radius is too small.
research adversarial-attacks interpretable-ml tsetlin-machine adversarial-robustness abstention certified-robustness selective-prediction
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Jun 12, 2026 - Python
Investigation of how sampling strategies affect Selective Prediction performance in Multi Task Learning
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Jan 4, 2022 - Python
Experiments on whether disclosing logarithmic scoring rules reduces LLM overconfidence in multiple-choice QA.
calibration hallucination confidence-estimation abstention selective-prediction llm mmlu proper-scoring-rules mmlu-pro simpleqa
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Jun 13, 2026 - Python
Reproducible MEDAI deferral simulation (AIRI 2026). Synthetic research code.
python machine-learning reproducible-research monte-carlo-simulation decision-support medical-informatics human-in-the-loop fair-principles expert-in-the-loop research-software uncertainty-calibration selective-prediction learning-to-defer bootstrap-statistics
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May 20, 2026 - Python
A comprehensive library for uncertainty quantification in machine learning.
calibration uncertainty-quantification active-learning conformal-prediction out-of-distribution-detection distribution-shift selective-prediction llm
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May 17, 2026 - Python
Deepfake detection with Bayesian uncertainty quantification, selective prediction, and an interactive Streamlit demo.
computer-vision pytorch uncertainty-quantification deepfake-detection streamlit selective-prediction bayesian-ml trustworth-ai
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Mar 18, 2026 - Jupyter Notebook
Free confidence gate for LLM correctness — logistic regression on (generation length, mean logprob), with cascade routing and split-conformal certificates. The pinned topo-confidence result.
machine-learning calibration cascade uncertainty-quantification confidence conformal-prediction selective-prediction llm
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Jun 13, 2026 - Python
Code Repository for SCoRE paper
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Jun 10, 2026 - Jupyter Notebook
Trustworthy medical image classification: noise-robust ConvNeXt-Tiny with 83.5% accuracy, calibrated selective prediction, HAM10000 + ISIC 2019.
research computer-vision deep-learning pytorch medical-imaging calibration dermatology noisy-labels selective-prediction convnext
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Apr 17, 2026 - Python
Out-of-distribution detection and risk-calibrated confidence tiering for classifiers, scored in the model's own feature space.
scikit-learn uncertainty-estimation covariate-shift conformal-prediction faiss mlops anamoly-detection drift-detection qa-automation out-of-distribution model-monitoring ood-detection confidence-calibration selective-prediction faiss-vector-database
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Jun 11, 2026 - Python
A 3B model that knows when it's unsure and spends compute only where it pays. Reproducible, on a laptop. Built on SmolLM3.
machine-learning calibration uncertainty-quantification mlx confidence-estimation selective-prediction llm small-language-models smollm test-time-compute
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Jun 13, 2026 - Python
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