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Publications about AI methods and applications.
Research paper by Jarvis Guo and collaborators. Published 2024-12-06. Topics: multimodal large language models, instruction-tuning dataset, intermediate rationales, CoT reasoning, MathVerse.
Research paper by Tao Shen and collaborators. arXiv record dated 2025-11-23. Research area: Computer vision.
In this report, we introduce MammothModa, yet another multi-modal large language model (MLLM) designed to achieve state-of-the-art performance starting from an elementary baseline. We focus on three key design insights: (i) Integrating Visual Capabilities while Maintaining Complex Language Understanding: In addition to the vision encoder, we incorporated the Visual Attention Experts into the LLM to enhance its visual capabilities. (ii) Extending Context Window for High-Resolution and Long-Duration Visual Feature: We explore the Visual Merger Module to effectively reduce the token number of high-resolution images and incorporated frame positio
Research paper by Shubham Toshniwal and collaborators. Published 2024-02-15. Topics: Large language models, LLMs, MetaMathQA, MAmmoTH, GPT-4.
Research paper by Yiming Jia and collaborators. Published 2025-03-13. Topics: vision-language models, multimodal datasets, question-answer pairs, visual QA, text QA.
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