Yangyi-Chen/Multimodal-AND-Large-Language-Models

• highabout#1

  Reposition the repository's 'About' description to clearly state its purpose as a curated paper list

  Why:

  CURRENT

  Paper list about multimodal and large language models, only used to record papers I read in the daily arxiv for personal needs.

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  A personally curated and regularly updated list of significant research papers on Multimodal AI and Large Language Models, focusing on unique insights and substantial contributions.

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• highlicense#2

  Add a license statement to the README

  Why:

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  Add the following section to your README:
  
  ## License
  
  The content of this repository (the paper list structure and descriptions) is licensed under the Creative Commons Attribution 4.0 International License. Individual papers are subject to their respective authors' licenses.

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• mediumtopics#3

  Add more specific topics to highlight the 'paper list' nature and research areas

  Why:

  CURRENT

  general-purpose-model, large-language-models, machine-learning, multimodal

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  multimodal-ai, large-language-models, research-papers, paper-list, machine-learning, deep-learning, computer-vision, natural-language-processing, ai-research

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Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• CATEGORY QUERY

  Where can I find recent research papers on advancements in multimodal large language models?

  you: not recommended
  AI recommended (in order):

  1. arXiv.org
  2. Google Scholar
  3. Papers With Code
  4. ACL Anthology
  5. CVF Open Access
  6. NeurIPS Proceedings
  7. ICML Proceedings
  8. ICLR Proceedings
  9. Semantic Scholar

  AI recommended 9 alternatives but never named Yangyi-Chen/Multimodal-AND-Large-Language-Models. This is the gap to close.

  Show full AI answer
• CATEGORY QUERY

  What are the latest developments in improving reasoning capabilities for multimodal AI models?

  you: not recommended
  AI recommended (in order):

  1. GPT-4o
  2. Gemini
  3. LLaVA
  4. Fuyu-8B
  5. AlphaCode 2
  6. GATO
  7. RT-2

  AI recommended 7 alternatives but never named Yangyi-Chen/Multimodal-AND-Large-Language-Models. This is the gap to close.

  Show full AI answer

• Metadata completeness

  warn

  Suggestion:

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of Yangyi-Chen/Multimodal-AND-Large-Language-Models?

  pass
  ⚠AI did not name Yangyi-Chen/Multimodal-AND-Large-Language-Models — likely talking about a different project

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• If a team adopts Yangyi-Chen/Multimodal-AND-Large-Language-Models in production, what risks or prerequisites should they evaluate first?

  pass
  ⚠AI did not name Yangyi-Chen/Multimodal-AND-Large-Language-Models — likely talking about a different project

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• In one sentence, what problem does the repo Yangyi-Chen/Multimodal-AND-Large-Language-Models solve, and who is the primary audience?

  pass
  ⚠AI did not name Yangyi-Chen/Multimodal-AND-Large-Language-Models — likely talking about a different project

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?