A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Bo Liu, Qiang Liu
Maglev is a recurrent Transformer architecture with fixed-size memory that generalizes sliding-window attention, trains with a memory consistency loss, and improves validation loss and downstream benchmarks.
J. Jakeman, Lorena A. Barba, Joaquim R. R. A. Martins, et al.
This paper proposes a framework for verification and validation (V&V) of scientific machine learning models to enhance trustworthiness and reliability in scientific applications.
Unknown
MANTRA combines automated benchmark generation with SMT-based formal validation to enable scalable, reliable benchmarking of tool-using LLM agents.
Xiaoquan Chu, Tanlin Sun, Qian Li, et al.
PSPredictor uses machine learning on sequence features to predict liquid-liquid phase separating proteins, achieving 94.71% cross-validation accuracy.
Swen Hoelder, Paul A. Clarke, Paul Workman
This review outlines contemporary approaches to small molecule cancer drug discovery, emphasizing target validation, lead optimization, and biomarker-driven trials to reduce attrition and advance personalized medicine.
Tapas Kanungo, David M. Mount, Nathan S. Netanyahu, et al.
Presents a simple and efficient kd-tree-based filtering algorithm for Lloyd's k-means clustering with data-sensitive runtime analysis and empirical validation.
Paul C. D. Hawkins, A. Geoffrey Skillman, Gregory L. Warren, et al.
OMEGA is a systematic, knowledge-based conformer generator validated against high-quality PDB and CSD structures, showing strong performance in reproducing crystallographic conformations.