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  • All (7970) +28
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  • DevOps (398) +2
  • Software (3928) +15
  • IT (2299) +7
  • Education (20)
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  • All (7970) +28
    • AI (1325) +4
    • DevOps (398) +2
    • Software (3928) +15
    • IT (2299) +7
    • Education (20)
  • Notice
  • All (7970) +28
  • AI (1325) +4
  • DevOps (398) +2
  • Software (3928) +15
  • IT (2299) +7
  • Education (20)
  • Notice
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  • 2 weeks ago · ai

    [Paper] EvoIR: Towards All-in-One Image Restoration via Evolutionary Frequency Modulation

    All-in-One Image Restoration (AiOIR) tasks often involve diverse degradation that require robust and versatile strategies. However, most existing approaches typ...

    #research #paper #ai #computer-vision
  • 2 weeks ago · ai

    [Paper] TV2TV: A Unified Framework for Interleaved Language and Video Generation

    Video generation models are rapidly advancing, but can still struggle with complex video outputs that require significant semantic branching or repeated high-le...

    #research #paper #ai #machine-learning #computer-vision
  • 2 weeks ago · ai

    [Paper] Structured Document Translation via Format Reinforcement Learning

    Recent works on structured text translation remain limited to the sentence level, as they struggle to effectively handle the complex document-level XML or HTML ...

    #research #paper #ai #machine-learning #nlp
  • 2 weeks ago · ai

    [Paper] SA-IQA: Redefining Image Quality Assessment for Spatial Aesthetics with Multi-Dimensional Rewards

    In recent years, Image Quality Assessment (IQA) for AI-generated images (AIGI) has advanced rapidly; however, existing methods primarily target portraits and ar...

    #research #paper #ai #machine-learning #computer-vision
  • 2 weeks ago · ai

    [Paper] Foundations of Diffusion Models in General State Spaces: A Self-Contained Introduction

    Although diffusion models now occupy a central place in generative modeling, introductory treatments commonly assume Euclidean data and seldom clarify their con...

    #research #paper #ai #machine-learning
  • 2 weeks ago · ai

    [Paper] The Geometry of Intelligence: Deterministic Functional Topology as a Foundation for Real-World Perception

    Real-world physical processes do not generate arbitrary variability: their signals concentrate on compact and low-variability subsets of functional space. This ...

    #research #paper #ai #machine-learning
  • 2 weeks ago · ai

    [Paper] David vs. Goliath: Can Small Models Win Big with Agentic AI in Hardware Design?

    Large Language Model(LLM) inference demands massive compute and energy, making domain-specific tasks expensive and unsustainable. As foundation models keep scal...

    #research #paper #ai #machine-learning
  • 2 weeks ago · ai

    [Paper] Multi-LLM Collaboration for Medication Recommendation

    As healthcare increasingly turns to AI for scalable and trustworthy clinical decision support, ensuring reliability in model reasoning remains a critical challe...

    #research #paper #ai #machine-learning #nlp
  • 2 weeks ago · ai

    [Paper] Meta-Learning for Quantum Optimization via Quantum Sequence Model

    The Quantum Approximate Optimization Algorithm (QAOA) is a leading approach for solving combinatorial optimization problems on near-term quantum processors. How...

    #research #paper #ai #machine-learning
  • 2 weeks ago · ai

    [Paper] Arbitrage: Efficient Reasoning via Advantage-Aware Speculation

    Modern Large Language Models achieve impressive reasoning capabilities with long Chain of Thoughts, but they incur substantial computational cost during inferen...

    #research #paper #ai #machine-learning #nlp
  • 2 weeks ago · ai

    [Paper] Plug-and-Play Homeostatic Spark: Zero-Cost Acceleration for SNN Training Across Paradigms

    Spiking neural networks offer event driven computation, sparse activation, and hardware efficiency, yet training often converges slowly and lacks stability. We ...

    #research #paper #ai
  • 2 weeks ago · ai

    [Paper] Factuality and Transparency Are All RAG Needs! Self-Explaining Contrastive Evidence Re-ranking

    This extended abstract introduces Self-Explaining Contrastive Evidence Re-Ranking (CER), a novel method that restructures retrieval around factual evidence by f...

    #research #paper #ai #nlp

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