Tag: causal machine learning
Browse our exclusive articles!
Feature Attribution Stability Suite: Evaluating Post-Hoc Methods
Discover how the Feature Attribution Stability Suite benchmarks post-hoc attribution methods for stability across perturbations with prediction-invariance...
Evaluating LLM-Initialized Bandits: Warm-Start vs Cold-Start
Explore how LLM-initialized bandits perform under noise and misalignment, revealing when warm-starting improves or harms algorithm efficiency.
Enhancing Social Meaning in Large Language Models
Explore how pragmatic prompting improves social reasoning and calibration in large language models for better human-like understanding.
Malware Family Classification with Weighted LLM Ensembles
Discover a novel weighted hierarchical ensemble of large language models for accurate, zero-label malware family classification in evolving cybersecurity t...
Vision Transformer Framework for Fluid Flow Prediction
Discover a novel Vision Transformer model that predicts fluid flows in energy systems, reducing CFD costs with high accuracy and multimodal data integratio...