A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
W. Yeadon, Alex Peach, Craig P. Testrow
Evaluates ChatGPT variants on university-level physics coding assignments, finding students outperform AI and human evaluators detect AI work with 85.3% accuracy.
Alexandria Leto, Cecilia Aguerrebere, I. Bhati, et al.
This paper investigates how retrieval accuracy affects RAG pipeline performance for QA tasks, finding that lowering search accuracy minimally impacts downstream quality while improving speed and memory.
Zhengren Wang, Jiayang Yu, Dongsheng Ma, et al.
RARE decouples knowledge storage from reasoning by externalizing domain knowledge to retrievable sources and internalizing reasoning patterns, enabling lightweight models to surpass GPT-4 and DeepSeek-R1 by ~20% accuracy.
R. Doriguzzi-Corin, S. Millar, S. Scott-Hayward, et al.
Lucid is a lightweight CNN-based DDoS detection system that matches state-of-the-art accuracy with a 40x reduction in processing time, suitable for resource-constrained environments.
Joonho Lee, William J. Huggins, Martin Head‐Gordon, et al.
Introduces k-UpCCGSD, a sparse unitary coupled-cluster ansatz with O(kN) circuit depth for near-term quantum computers, achieving chemical accuracy at lower cost than UCCGSD and UCCSD.
Trevor E. Carlson, Wim Heirman, Stijn Eyerman, et al.
This paper evaluates high-level mechanistic core models, introducing the IW-centric model that balances simulation speed and accuracy for many-core processors.
Jessica Fridrich, Jan Kodovský
This paper introduces a novel strategy for building steganalysis detectors by assembling a rich model of noise residuals and using ensemble classifiers, achieving high detection accuracy against spatial-domain steganography.
Md Ekrim Hossin, Sulaiman M.N
This paper reviews evaluation metrics for classification, highlighting accuracy's weaknesses and proposing five aspects for constructing better discriminator metrics.
Vincent Le Guilloux, Peter Schmidtke, Pierre Tufféry
Fpocket is an open-source platform for protein pocket detection using Voronoi tessellation and alpha spheres, achieving high accuracy and speed.
Genc Hoxha, Farid Melgani, Begüm Demir
Proposes a remote sensing image retrieval system that generates and exploits textual captions to describe high-level semantic content, improving retrieval accuracy.
Feng Zhao, Xianghua Xie
This paper surveys interactive segmentation techniques for medical images, combining automatic methods with user guidance to improve accuracy and reduce manual effort.
Clément Farabet, Camille Couprie, Laurent Najman, et al.
Proposes a multiscale convolutional network trained from raw pixels for dense scene labeling, achieving record accuracy and real-time performance.