AI
Demographic Injection in Medical Language Models under Diversity, Equity, and Inclusion Prompts
Researchers have found that adding a single prompt to medical language models, aimed at promoting di...
AI
Towards Standardized Evaluation in Automated Domain Modeling: Introducing a Benchmark
A new benchmark has been introduced for evaluating automated domain modeling approaches. The benchma...
AI
Decentralized Federated Learning for Heterogeneous Multi-Task Semantic Communication
A new decentralized federated learning method has been proposed for heterogeneous multi-task semanti...
AI
VibeWorlding: Can Multimodal Agents Construct 3D Open Worlds End-to-End?
Researchers propose VibeWorlding, a framework for training and benchmarking multimodal agents that c...
AI
$D^{2}R^{2}$: Discrete Diffusion with Regulation Reinforcement for Single-Cell Perturbation Prediction
Researchers have developed a new approach called $D^{2}R^{2}$ to predict how ind...
AI
ReasonCast: Agentic Demand Forecasting with Selective Semantic Reasoning
Researchers have developed ReasonCast, a new method for demand forecasting that ...
AI
Divergent-Convergent Reasoning: Scaling Test-Time Compute through Structured Solution Synthesis
Researchers have proposed a new approach called Divergent-Convergent Reasoning (...
AI
Understanding Cognition-Induced Risks in Agentic AI Systems
Researchers have identified potential risks associated with advanced language mo...