Tag: large language models

A new study finds that rumour stance classification models trained on RumourEval data degrade considerably on a new Irish rumour ...

A prospective questionnaire study found readers rated LLM-structured oncologic CT reports higher than free-text reports on 11 of 12 items, ...

A FLAN-T5 model combining retrieval augmentation and parameter-efficient fine-tuning achieved high-quality structured test-case generation with measurable latency costs.

A multi-agent framework called ZOOM uses summarization and supervised LLM debate to extract stable user values from interaction histories, improving ...

A new survey of 94 studies charts the rise of retrieval-augmented generation in biomedicine and identifies trade-offs among reasoning depth, ...

A new narrative review argues that generative AI simultaneously produces, detects, corrects, and amplifies the consequences of health misinformation across ...

A four-layer multi-agent architecture confines LLM reasoning to an observation-only role and validates every proposal against plant engineering diagrams before ...

A new multi-agent AI system autonomously designs earthquake-resilient fiber-reinforced concrete, cutting expert design cycles by about 75 percent while keeping ...

A new GERT-based model traces how simultaneous risks such as pandemics and technology blockades cascade through manufacturing business networks, identifying ...

A perspective paper proposes the LAMPP model, a theory-based framework with four design principles for integrating large language models into ...