Researchers from UCLA, UC Merced and Adobe propose METAL: A Multi-Agent Framework that Divides the Task of Chart Generation into the Iterative Collaboration among Specialized Agents

Creating charts that accurately reflect complex data remains a nuanced challenge in today’s data visualization landscape. Often, the task involves […]

Google AI Introduces PlanGEN: A Multi-Agent AI Framework Designed to Enhance Planning and Reasoning in LLMs through Constraint-Guided Iterative Verification and Adaptive Algorithm Selection

Large language models have made remarkable strides in natural language processing, yet they still encounter difficulties when addressing complex planning […]