Omni-IO Skills: Harnessing Your Agent Omni-Native

arXiv:2609.31847 · cs.CL · Submitted 2026-09-25 · Read on arXiv

cs.CL

Submitted: 2026-09-25

Updated: 2026-09-25

Code: https://github.com/any2any-mllm/Omni-IO-Skill

Terminology

• Foundation Model — 8× in this paper · explained in 3 episodes
• Agent Harness — 7× in this paper · explained in 2 episodes
• Procedural Knowledge — 6× in this paper · explained in 2 episodes
• Declare Execution Graph — 5× in this paper
• Foundation Models — 5× in this paper · explained in 7 episodes
• Consistency — 4× in this paper · explained in 3 episodes
• Core — 4× in this paper · explained in 2 episodes
• Agent Skills — 3× in this paper · explained in 1 episode
• Aggregation — 3× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• Fidelity — 3× in this paper · explained in 2 episodes
• Abstraction — 2× in this paper · explained in 1 episode
• Accuracy — 2× in this paper · explained in 1 episode
• Benchmarking — 2× in this paper · explained in 3 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Interleaved Coherence Score — 2× in this paper
• Multimodal Inputs — 2× in this paper · explained in 2 episodes
• Provenance — 2× in this paper · explained in 4 episodes
• AI Agents — 1× in this paper · explained in 2 episodes
• Active Perception — 1× in this paper · explained in 2 episodes
• Admissibility — 1× in this paper · explained in 2 episodes
• Agentic Coding — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Decoupling — 1× in this paper · explained in 2 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Full-duplex interaction — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Multimodal Reasoning — 1× in this paper · explained in 5 episodes
• Rectified Flow — 1× in this paper · explained in 3 episodes
• State Management — 1× in this paper · explained in 3 episodes
• Task Planning — 1× in this paper · explained in 2 episodes
• Tokenization — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Chameleon: Mixed-Modal Early-Fusion Foundation Models
• Agent-Omni: Test-Time Multimodal Reasoning via Model Coordination for Understanding Anything
• SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
• CUA-Skill: Develop Skills for Computer Using Agent
• MMSkills: Towards Multimodal Skills for General Visual Agents
• Towards Comprehensive Stage-wise Benchmarking of Large Language Models in Fact-Checking
• Hierarchical Text-Conditional Image Generation with CLIP Latents
• Unveiling the Cognitive Compass: Theory-of-Mind-Guided Multimodal Emotion Reasoning
• Qwen2.5-Omni Technical Report
• Moshi: a speech-text foundation model for real-time dialogue
• Qwen3-Omni Technical Report
• Ming-Omni: A Unified Multimodal Model for Perception and Generation
• SafeGuard: A Multi-Agent Perception-Reasoning Framework for Social-Risk AI-Generated Video Detection
• MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action
• OmniGAIA: Towards Native Omni-Modal AI Agents

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