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 […]

Microsoft AI Released LongRoPE2: A Near-Lossless Method to Extend Large Language Model Context Windows to 128K Tokens While Retaining Over 97% Short-Context Accuracy

Large Language Models (LLMs) have advanced significantly, but a key limitation remains their inability to process long-context sequences effectively. While […]