FePySR: Efficient Neural Feature Extraction for Symbolic Regression
Discover FePySR, a neural feature extraction framework that enhances efficiency and accuracy in symbolic regression for complex data modeling.
MMCL-Bench: Benchmark for Multimodal Context Learning AI
Discover MMCL-Bench, a new benchmark advancing AI's ability to learn rules, procedures, and evidence from visual and multimodal data.
Ensuring Procedural Fairness in Credit Decision Models
Explore how Counterfactual Explanation Consistency improves procedural fairness in credit decision AI models, reducing hidden biases beyond outcome metrics...
Adaptive Node Classification for Heterophily in Multiplex Graphs
Discover an adaptive method for node classification in multiplex graphs that models heterophily and improves accuracy across diverse network types.
Agentic Interpretation: Lattice-Based LLM Program Analysis
Discover how agentic interpretation leverages lattice-structured evidence to enhance LLM-based program analysis for better transparency and dynamic insight...