A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Baoguang Shi, Xiang Bai, Cong Yao
A novel end-to-end trainable neural network integrates feature extraction, sequence modeling, and transcription for scene text recognition without character segmentation.
John M. Dagdelen, Alexander Dunn, Sang‐Hoon Lee, et al.
Fine-tuning pretrained LLMs (GPT-3, Llama-2) enables joint named entity recognition and relation extraction from scientific text, producing structured records for materials chemistry.
Divneet Mandair, Jorge S. Reis-Filho, Alan Ashworth
This review examines recent deep learning applications in breast cancer histology that yield biological insights and novel biomarkers, spanning genomic extraction to stroma-based recurrence prediction.
Unknown
This paper proposes a Graph RAG-based fault diagnosis system for train bogies that integrates knowledge graphs with large language models to enable dynamic knowledge extraction and improved diagnostic accuracy.
Boyang Zhang, Adrian Lyjak, Eli Stewart, et al.
ExtractBench is a benchmark for schema-guided enterprise document extraction, evaluating value accuracy, record completeness, grounding, and cost across 370 documents.
Unknown
MemReader introduces a reasoning-driven, selective memory extraction approach for long-term agent memory, reducing noise and improving performance.
Liang Hong, Xiao Sun, Yunlei Sun, et al.
This review outlines deep learning methods for automatic text feature extraction, contrasting them with traditional handcrafted approaches.
Maryam M. Najafabadi, Flavio Villanustre, Taghi M. Khoshgoftaar, et al.
Explores how deep learning addresses big data analytics challenges like pattern extraction, semantic indexing, and scalability.
E. Bertin, S. Arnouts
SExtractor is a software tool for automated detection, deblending, measurement, and classification of astronomical sources using neural networks for star/galaxy separation.
Kefallinos, Dionysios, Alexandris, Georgios, Maras, Alexis, et al.
Proposes a framework for answering qualitative spatial questions using a geoparser, crisp reasoner, and answer extraction, with promising synthetic evaluation.
Unknown
NuExtract is a family of small language models fine-tuned on synthetic data to perform structured text-to-JSON extraction, rivaling GPT-4 in accuracy while being orders of magnitude smaller.
Unknown
LMDX adapts arbitrary LLMs for document information extraction with layout encoding and grounding to prevent hallucinations.