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BradyFU/Awesome-Multimodal-Large-Language-Models resource

:sparkles::sparkles:Latest Advances on Multimodal Large Language Models observed · 2026-08-28

github.com/BradyFU/Awesome-Multimodal-Large-Language-Models observed · 2026-08-28

Health v2 · maintenance only

73/100

  • Activity 98
  • Release rhythm 35
  • Longevity 85

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1202
  • days_rel: n/a
  • days_push: 12
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

17988 stars · 1132 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A curated awesome-list tracking the latest advances in multimodal large language models (MLLMs), including papers, surveys, benchmarks like MME and Video-MME, and related projects such as the VITA series. It serves as a research reference hub rather than runnable software.

Use cases

  • find recent papers on multimodal large language models
  • track benchmarks for evaluating vision-language models
  • locate surveys on multimodal instruction tuning
  • research video understanding evaluation for MLLMs
  • keep up with state-of-the-art multimodal chain-of-thought research
  • find open-source omni MLLM projects

When to choose

  • you need a continuously updated index of MLLM research papers and benchmarks
  • you are surveying the multimodal LLM landscape for a literature review
  • you want links to evaluation benchmarks like MME and Video-MME

When to avoid

  • you need runnable code or a library to build applications
  • you want a maintained software tool rather than a paper list
  • you need a single model implementation instead of a research collection

Facets

learning-resource · maturity active

documentation developer-tools large-language-models artificial-intelligence computer-vision awesome-lists tutorials awesome-list multimodal vision-language-models benchmarks survey papers instruction-tuning chain-of-thought natural-language-processing web-server

1 source

Member repositories

For agents

markdown · JSON · MCP: product_card(name="BradyFU/Awesome-Multimodal-Large-Language-Models")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem