Futurism

New AI Trained Only on Pre-1930 Data Speaks Like the Most Old-Timey Guy Imaginable

Add Futurism (opens in a new tab) More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Tired ...
IEEE

Graph-Enhanced Visual Prompting for Pre-Trained Models Adaptation in Medical Imaging Classification

Abstract: Adapting Vision Transformers (ViTs) for medical imaging is constrained by the scarcity of data and high-quality annotations, hindering effective training and robust generalization. Visual ...
BioSpace

Xaira Therapeutics Launches X-Cell, Its First Virtual Cell Model, Trained on the Largest-Ever Genome-Wide Perturbation Dataset, X-Atlas/Pisces

State-of-the-art AI model accurately predicting unseen biological experiments X-Cell is trained on X-Atlas/Pisces, the largest and most context-diverse genome-wide perturbation dataset ever reported ...
IEEE

Fine-Tuning Pre-trained Transformer-Based Models for Sentence-Level Medical Text Classification

Abstract: This paper presents the development of sentence-level medical text classifiers by fine-tuning eight pre-trained transformer-based models on the PubMed 20k RCT dataset. The models span both ...
Scientific Research Publishing

Wu, S., & He, Y. (2019). Enriching Pre-Trained Language Model with Entity Information for Relation Classification. In Proceedings of the 28th ACM International Conference on ...

ABSTRACT: In today’s data-driven business environment, small and medium-sized enterprises (SMEs) struggle to implement effective knowledge management (KM) due to limited financial, technical, and ...
GitHub

czd-2025/Text-Classification-via-Knowledge-Distillation-from-Large-Pre-trained-Models

教师模型 (Teacher Models): 我们计划支持多种强大的教师模型，例如 Gemini 2.5, GPT, DeepSeek 等（具体模型选择取决于实验效果 ...