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Research

"The future is here — just unevenly distributed." (William Gibson)

Papers

Research is our foundation. We transform cutting-edge research into accessible tools, applicable methodologies or usable systems.

Enhancing Cross-task Transfer of Large Language Models via Activation SteeringModel2025-07-17QuestA: Expanding Reasoning Capacity in LLMs via Question AugmentationSystem2025-07-17Toward Real-World Table Agents: Capabilities, Workflows, and Design Principles for LLM-based Table IntelligenceSystem2025-07-14ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics ProblemsSystem2025-07-07Why Do Open-Source LLMs Struggle with Data Analysis? A Systematic Empirical StudyResearch2025-06-24Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMsModel2025-06-17AutoMind: Adaptive Knowledgeable Agent for Automated Data ScienceResearch2025-06-12Ming-Omni: A Unified Multimodal Model for Perception and GenerationModel2025-06-11Right Is Not Enough: The Pitfalls of Outcome Supervision in Training LLMs for Math ReasoningResearch2025-06-07AREAL: A Large-Scale Asynchronous Reinforcement Learning System for Language ReasoningSystem2025-06-04

Releases

Latest releases from inclusionAI, including models, systems, and research tools.

Ming-Omni-TTS: Simple and Efficient Unified Generation of Speech, Music, and Sound with Precise ControlMar 4, 2026Ming-flash-omni-Preview: A Sparse, Unified Architecture for Multimodal Perception and GenerationOct 28, 2025Ming-UniAudio: Speech LLM for Joint Understanding, Generation and Editing with Unified RepresentationOct 1, 2025Ming-UniVision: Joint Image Understanding and Generation via a Unified Continuous TokenizerOct 1, 2025Introducing Ring-lite-2507Aug 5, 2025