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MMaDA - Open-Sourced Multimodal Large Diffusion Language Models (dLLMs with block diffusion, mixed-CoT, unified RL)
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Latest capture 2026-07-15 03:11
5 captures since 2026-05-25
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Scanned 2026-07-15 03:11
requirements.txt
python ecosystem,
19 dependencies
evaluation/VLMEvalKit/requirements.txt
python ecosystem,
38 dependencies
evaluation/VLMEvalKit/setup.py
python ecosystem,
0 dependencies
evaluation/VLMEvalKit/vlmeval/dataset/Omnidocbench/requirements.txt
python ecosystem,
13 dependencies
evaluation/VLMEvalKit/vlmeval/dataset/utils/megabench/requirements.txt
python ecosystem,
15 dependencies
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A Collection of Papers on Diffusion Language Models
[ICLR & NeurIPS 2025] Repository for Show-o series, One Single Transformer to Unify Multimodal Understanding and Generation.
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
[ACL-2026] MMSearch-R1 is an end-to-end RL framework that enables LMMs to perform on-demand, multi-turn search with real-world multimodal search tools.
Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
OpenMMLab Foundational Library for Training Deep Learning Models
