# yfzhang114/Awesome-Multimodal-Large-Language-Models

Reading notes about Multimodal Large Language Models, Large Language Models, and Diffusion Models

Repository: https://github.com/yfzhang114/Awesome-Multimodal-Large-Language-Models
Canonical: https://ross.abutalabs.com/products/yfzhang114-awesome-multimodal-large-language-models
License Family: other
Last push: 2026-07-14T04:00:28+00:00

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 92, release rhythm 35, longevity 63
- inputs: {"age_days": 886, "days_push": 50, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1194, forks 50 (observed 2026-08-28T04:03:56.724311+00:00)

## What it is
A curated awesome-list of research papers on Multimodal Large Language Models, Large Language Models, and Diffusion Models, with links to the author's personal reading notes. It is actively updated with recent work on agentic RL, multimodal benchmarks, and reward modeling.

## Use cases
- find papers on multimodal large language models
- track recent MLLM research with reading notes
- learn about diffusion models and LLMs
- find multimodal benchmarks and evaluation resources
- research multimodal reward modeling and RLHF
- get started studying vision-language models

## When to choose
- you want a curated, annotated reading list for MLLM and LLM research
- you want links to reading notes explaining key papers
- you want to follow recent agentic RL and multimodal benchmark developments

## When to avoid
- you need runnable code or a software library
- you need an exhaustive, community-maintained list rather than one researcher's notes
- you need formal documentation or tutorials with exercises

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: large-language-models, artificial-intelligence, tutorials, awesome-lists
- platform: -
- tags: awesome-list, reading-notes, multimodal, diffusion-models, research-papers, web-server

## Member repositories
- yfzhang114/Awesome-Multimodal-Large-Language-Models (main) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:56.724311+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:22:11.331790+00:00, confidence not recorded.
  - readme: https://github.com/yfzhang114/Awesome-Multimodal-Large-Language-Models (fetched 2026-08-28T04:03:56.724311+00:00, sha b60e679cf829)
- Data as of 2026-08-30T08:39:29.467469+00:00.