Researchers have developed a new approach called $D^{2}R^{2}$ to predict how individual genes respond to genetic perturbations in single cells. Unlike...
Researchers have developed ReasonCast, a new method for demand forecasting that combines historical sales data with future events and promotions. Unli...
Researchers have proposed a new approach called Divergent-Convergent Reasoning (DCR) to improve the performance of Large Language Models (LLMs). DCR c...
Researchers have identified potential risks associated with advanced language models that mimic human cognition. As these models become increasingly i...
Researchers have proposed a framework called the Physiological World Model (PWM) to learn how human physiological states change in response to real-wo...
Researchers have proposed a new framework called ClientMorpher for federated instruction fine-tuning of Large Language Models (LLMs). The framework us...
Researchers have developed a new AI framework for predicting radio signal strength in areas where communication is critical. The 'physics-informed VAE...
AI benchmarks are not neutral tools of evaluation but rather socio-technical artefacts that shape competition, power, and research priorities within A...
Researchers have found that large language models (LLMs) often fail to consistently apply moral principles across different scenarios. In a study of t...
Researchers have developed a new approach to generating game-theoretically optimized courses of action for a Blue Unmanned Aerial System (UAS) swarm a...
Researchers have proposed a new framework called FedPA-LoRA to improve the performance of federated learning in large language models. The framework a...
Researchers propose a new framework for evaluating large language models in healthcare decision support. The framework uses a graph-centered approach ...