Official repository for the paper "MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems ... which can reveal the intermediate CoT reasoning quality by MLLMs. If your ...

By Ankush Sabharwal The contemporary artificial intelligence landscape is characterised by exponential growth, yielding potent computational tools that are fundamentally restructuring industrial ...

A new paper from Microsoft Research and Salesforce finds that even the most capable Large Language Models (LLMs) fall apart ...

Reliable evaluation of large language model (LLM) outputs is a critical yet often complex aspect of AI system development. Integrating consistent and objective evaluation pipelines into existing ...

Leveraging this high-quality pre-training data, we introduce the 3UR-LLM model, an end-to-end 3D MLLM designed for precise interpretation of 3D scenes, showcasing exceptional capability in navigating ...

The CTL, in collaboration with the Research Computing Department (OIT) and the Department of Computer Science, is announcing a call for applications to the “Large Language Model Faculty Learning ...

Since DeepSeek released its open and resource friendly, but very competitive and capable model, we are now standing ... the ability of a single LLM agent backed by GPT-4 to exploit one-day ...