Inference Headroom Ratio: Ensuring AI Stability Under Constraints
Discover how the Inference Headroom Ratio (IHR) improves AI inference stability and risk control in constrained environments for robust system performance.
Automated Dosing Error Detection in Clinical Trials Using LightGBM
Discover how LightGBM and multi-modal feature engineering improve automated detection of dosing errors in clinical trial narratives for enhanced patient sa...
ThermoQA: Benchmark for Thermodynamic Reasoning in LLMs
ThermoQA evaluates large language models' thermodynamic reasoning with 293 engineering problems across three tiers for accurate AI assessment.
Explainable AML Triage Using LLMs for Evidence & Checks
Discover how explainable AML triage with LLMs improves evidence retrieval, counterfactual checks, and compliance in transaction monitoring.
Data Augmentation for Transformer Models in NGSS AI Scoring
Improve AI scoring of NGSS scientific explanations using data augmentation and resampling to tackle class imbalance in transformer-based models.