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WEEKLY TOP 10 · 2026-10-12 → 2026-10-18 · FINAL

Hot papers · 2026-W42

Ranked by Hugging Face upvotes among papers with a takeaway, grouped by the ISO week they were listed on HF Daily. A week is frozen once complete.

  1. #01▲5562026-10-15

    MJev-Spatial: System One Spatial Intelligence via Native Attention Matching

    MJev-Spatial casts spatial questions as classification over candidates, answering relation, distance and point queries faster than text generation.

    MultimodalEfficient training & inference

  2. #02▲3752026-10-13

    VideoJev: System One Model for Video Understanding and Interaction

    VideoJev scores time spans and answer options directly, unifying temporal grounding and video QA for fast decisions.

    MultimodalEfficient training & inference

  3. #03▲3722026-10-13

    Jeva: System One Models from First Principles

    Jeva is a decision-native System 1 model that scores candidate options directly instead of generating text answers, making it fast and cacheable.

    LLMsEfficient training & inference

  4. #04▲3642026-10-14

    Any Time, Any Space: A World-State-Centric Framework for Agentic Video Generation

    ATAS compiles screenplays into shots backed by scene and event memories so long agentic videos stay spatially and temporally consistent.

    Visual generationAgents

  5. #05▲3472026-10-14

    Player-1: Learning to Play from Synthetic Experience

    Player-1 post-trains computer-use agents on synthetic experience so they learn to control games beyond demonstrations.

    AgentsReinforcement learning

  6. #06▲3252026-10-15

    OpenGCUA: Toward a Fully Open Stack for Generalist Computer Use

    OpenGCUA aims to open the full stack for generalist computer-use agents, with a first release spanning GUI and code execution.

    AgentsCode & SWE

  7. #07▲3252026-10-08

    DiffusionART: Efficient, Stable and Scalable Reinforcement of Diffusion Models

    DiffusionART aggregates rewards before tilting the objective, making online RL fine-tuning of diffusion models efficient and stable.

    Visual generationReinforcement learning

  8. #08▲3102026-09-30

    GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives

    GroundingPI is a 4B grounding foundation model that outputs points and boxes as tokens to give robots fast, precise targeting.

    Robotics & embodied AIVision & 3D

  9. #09▲2702026-10-15

    FDE-Gym: The Last Mile of AI Delivery

    FDE-Gym offers 95 real delivery tasks testing whether agents can clarify vague requirements and ship working solutions like forward-deployed engineers.

    AgentsBenchmarks & data

  10. #10▲2702026-10-09

    S-Space: Exploring Spatial Workspace in Multimodal Language Models

    Finds S-Space, a linear subspace inside MLLMs where object tokens encode continuous coordinates, acting as an internal spatial workspace.

    MultimodalSafety & interpretability

Data updated: Latest AI papers(UTC+8)