# Sun-Haoyuan23/Awesome-RL-based-Reasoning-MLLMs

This repository provides valuable reference for researchers in the field of multimodality, please start your exploratory travel in RL-based Reasoning MLLMs!

Repository: https://github.com/Sun-Haoyuan23/Awesome-RL-based-Reasoning-MLLMs
Canonical: https://ross.abutalabs.com/products/awesome-rl-based-reasoning-mllms
License: MIT
License Family: permissive
Last push: 2026-08-02T03:59:51+00:00

## Health v2 (maintenance only)
Score: 63/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 95, release rhythm 35, longevity 39
- inputs: {"age_days": 558, "days_push": 31, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1441, forks 70 (observed 2026-08-28T04:04:44.380364+00:00)

## What it is
A curated awesome-list repository collecting papers and resources on reinforcement learning-based reasoning for multimodal large language models (MLLMs). It tracks research works sorted by release date and includes a position paper summarizing the field.

## Use cases
- find papers on RL-based reasoning for multimodal LLMs
- survey reinforcement fine-tuning of MLLMs
- research multimodal reasoning model landscape
- get started with RL reasoning research in multimodality
- track recent RFT papers for vision-language models
- prepare a literature review on multimodal reasoning

## When to choose
- you are a researcher surveying RL-based reasoning in multimodal LLMs
- you need a curated, time-sorted list of RFT/MLLM papers
- you want an entry point into the multimodal reasoning field

## When to avoid
- you need runnable code or training frameworks rather than a paper list
- you want RL reasoning resources for text-only LLMs
- you need a maintained software library

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, deep-learning, llm-training, documentation
- domain: artificial-intelligence, large-language-models, machine-learning, awesome-lists, tutorials
- platform: -
- tags: awesome-list, multimodal, reinforcement-learning, reasoning, mllm, research-papers, curated-list, web-server

## Member repositories
- Sun-Haoyuan23/Awesome-RL-based-Reasoning-MLLMs (main) score 63

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:44.380364+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 2026-08-30T04:36:27.199075+00:00, confidence not recorded.
  - readme: https://github.com/Sun-Haoyuan23/Awesome-RL-based-Reasoning-MLLMs (fetched 2026-08-28T04:04:44.380364+00:00, sha 8ab32fa64a2e)
- Data as of 2026-08-30T08:39:29.467469+00:00.