A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Zhen Tan, Dawei Li, Song Wang, et al.
This survey uniquely focuses on LLMs for data annotation, covering generation, assessment, and utilization of LLM-generated annotations.
Kate Hone, Robert Graham
This paper reports the first stage in developing a valid, reliable questionnaire (SASSI) for subjectively evaluating speech recognition system interfaces.
Unknown
This paper critically reviews and assesses parameter-efficient fine-tuning methods for pretrained language models, highlighting their ability to reduce parameters and memory while maintaining performance.
Unknown
A survey evaluating large vision-language models through benchmark assessments, highlighting challenges and future directions.
Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, et al.
This review unifies deep and shallow anomaly detection methods, identifies common principles, and provides empirical assessment with explainability.
Marc Alier, Francisco José García‐Peñalvo, Jorge D. Camba
This paper explores the management, ethical considerations, and opportunities of integrating Generative AI in education, emphasizing its potential to augment teaching and assessment while addressing academic integrity challenges.