Tag: large language models

Researchers argue that prompt injection, which hijacks clinical AI systems through hidden instructions in medical records, should be formally classified ...

A critical discourse analysis argues that sycophancy in RLHF-trained language models is a structurally embedded feature that encodes Anglophone communicative ...

A new commentary argues that the greatest challenges facing clinical AI are philosophical, involving how medicine defines disease, draws diagnostic ...

A new decentralized multi-agent AI framework that mirrors hospital referral hierarchies outperformed monolithic transformer models in predicting diagnoses from electronic ...

Researchers have built a hybrid deep learning model combining BiLSTM, Transformer and 1D CNN components that detects AI-generated text with ...

A harmonised benchmark of lexical models, biomedical transformers and retrieval-grounded large language models shows that internal test scores fail to ...

A large consortium of academic and industry researchers maps six open challenges facing large-scale randomized experiments, from organizational incentives and ...

A new systematic review reveals how artificial intelligence, generative models, and quantum computing are converging to transform drug discovery and ...

A new open dataset of 9300 Mandarin-English code-switched speech recordings, enhanced with AI-generated noise, speed and timbre changes, exposes how ...

Researchers adapted the human implicit association test for reasoning AI models and found that stereotype-inconsistent tasks demand measurably more computational ...