Agentic-imodels evolves scikit-learn regressors via an autoresearch loop to jointly boost predictive performance and LLM-simulatability, improving downstream agentic data science tasks by up to 73% on the BLADE benchmark.
Please stop explaining black box models for high stakes decisions
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
A new scale-aware diagnostic framework shows that unconstrained diffusion generative models exhibit structural freezing and instability instead of smooth physical responses under multiscale perturbations.
MedFormer-UR integrates evidential uncertainty from Dirichlet distributions and class-specific prototypes into a transformer to improve calibration and selective prediction on medical images across four modalities.
citing papers explorer
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Agentic-imodels: Evolving agentic interpretability tools via autoresearch
Agentic-imodels evolves scikit-learn regressors via an autoresearch loop to jointly boost predictive performance and LLM-simulatability, improving downstream agentic data science tasks by up to 73% on the BLADE benchmark.
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Scale-Aware Adversarial Analysis: A Diagnostic for Generative AI in Multiscale Complex Systems
A new scale-aware diagnostic framework shows that unconstrained diffusion generative models exhibit structural freezing and instability instead of smooth physical responses under multiscale perturbations.
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MedFormer-UR: Uncertainty-Routed Transformer for Medical Image Classification
MedFormer-UR integrates evidential uncertainty from Dirichlet distributions and class-specific prototypes into a transformer to improve calibration and selective prediction on medical images across four modalities.