Model Detail
Mugen
—Mugen is an AI model released by CabalResearch. Distributed under a other license.
Distribution is governed by the other license — review the exact terms before commercial deployment.
Mugen is best fit for general-purpose AI workloads. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
MUGEN: Generating Unlearnable Graph Examples for Multiple Learning Tasks
arXiv:2609.00696v2 Announce Type: replace Abstract: Graph data across diverse domains can expose valuable relational information to unauthorized representation learning, creating a pressing need for protection against such misuse. Unlearnable examples offer a data-level defense by perturbing a train
MUGEN: A Unified Framework for Efficient Motion Understanding and Generation
arXiv:2607.27581v1 Announce Type: new Abstract: Grounding human motion in language, and language in motion, is a central step toward physical AI systems that can understand, generate, and communicate human behavior. Unified motion--language systems first coupled the two directions through a shared d
MUGEN: Evaluating and Improving Multi-audio Understanding of Large Audio-Language Models
arXiv:2603.09714v2 Announce Type: replace-cross Abstract: While multi-audio understanding is critical for large audio-language models (LALMs), it remains underexplored. We introduce MUGEN, a comprehensive benchmark evaluating this capability across speech, general audio, and music. Our experiments r
