IEEE

In-Context Learning in Large Language Models (LLMs): Mechanisms, Capabilities, and Implications for Advanced Knowledge Representation and Reasoning

Abstract: The rapid growth of Large Language Models (LLMs) and their in-context learning (ICL) capabilities has significantly transformed paradigms in artificial intelligence (AI) and natural language ...

Six data shifts that will shape enterprise AI in 2026

In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...
IEEE

Advanced Agricultural Query Resolution Using Ensemble-Based Large Language Models

Abstract: Effective knowledge retrieval is crucial for addressing challenges related to optimization, such as pest management, soil health and crop productivity. Current single-model approaches ...
spcare.bmj

Relational nature of decision-making between patients with advanced illness and their caregivers in palliative care: a systematic review and narrative synthesis

Background Clinical practice in palliative care points to the involvement of caregivers in the decision-making process for patient treatment and care. Objectives The primary objective was to explore ...