eLife

Critique of impure reason: Unveiling the reasoning behaviour of medical large language models

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...
Scientific Research Publishing

Estimating Average and Heterogeneous Effects of Special Education: A Causal Machine Learning Perspective ()

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...
IEEE

Understanding the Dimensional Need of Noncontrastive Learning

Abstract: Noncontrastive self-supervised learning methods offer an effective alternative to contrastive approaches by avoiding the need for negative samples to avoid representation collapse.
IEEE

FRedBots: Fundamental Reinforcement Learning Enabled Bots

Abstract: Autonomous systems have undergone a revolutionary transformation with the advent of artificial intelligence and machine learning, namely reinforcement learning (RL). This research ...
C&EN

Bridging Deep Learning and In Situ Spectroelectrochemistry: A Hybrid Framework for Uncovering Fundamental Insights of Multi-Electron Processes

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Machine learning (ML) has rapidly become a transformative tool ...