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    Wed, Oct 288 papers

    arXiv·Oct 28

    Can Discrete Tokens Serve as Semantically Lossless Representations of Visual Signals?

    Zou J, Li X, Yue Z et al.

    Discrete visual tokens represent vision in a discrete form analogous to language, offering a native interface for multimodal modeling under a shared next-token prediction…Discrete visual tokens represent vision in a discrete form analogous to language, offering a native interface for multimodal modeling under a shared next-token prediction objective.

    Preprint: new model
    Paper
    arXiv·Oct 28

    Pushing Dexterity and Safety for In-Hand Object Pose Reaching That Works Remarkably Well

    Chuang I, Shah H, Chilamkur V et al.

    Dexterous manipulation with multi-fingered hands is the next frontier of robotics, yet learned hand skills remain limited to simple grasps or basic repeated motions, such…Dexterous manipulation with multi-fingered hands is the next frontier of robotics, yet learned hand skills remain limited to simple grasps or basic repeated motions, such as rotating an object.

    Preprint: new model
    Paper
    arXiv·Oct 28

    GTFormer: A Syntax-Free Graph Network Alternative to Transformers for 8192× Length Extrapolation in Linear Time

    Fink E

    Self-attention mechanisms have established the Transformer as the dominant backbone across natural language processing, source code intelligence, and automated theorem…Self-attention mechanisms have established the Transformer as the dominant backbone across natural language processing, source code intelligence, and automated theorem proving.

    Preprint: new model
    Paper
    arXiv·Oct 28

    EmbeddingGemma 2: Unified and Efficient Multimodal Representations

    Vera HS, Dua S, Andonov J et al.

    We present EmbeddingGemma 2, an open multimodal embedding model which natively represents text, images, audio, video, and combinations thereof in a unified space.We present EmbeddingGemma 2, an open multimodal embedding model which natively represents text, images, audio, video, and combinations thereof in a unified space.

    Preprint: new model
    Paper
    arXiv·Oct 28

    RoboAuto: Autonomous Robot Program Search through Multi-Level Physical Understanding

    Liu B, Ye J, Yuan X et al.

    Recently, LLM-based autonomous agents have shown strong capabilities in iteratively generating, evaluating, and refining executable solutions.Recently, LLM-based autonomous agents have shown strong capabilities in iteratively generating, evaluating, and refining executable solutions.

    Preprint: new model
    Paper
    arXiv·Oct 28

    SpeeDiff: Scalable Pixel-Anchored End-to-End Latent Diffusion Model

    Zhang B, Chu W, Li Y et al.

    We present Scalable Pixel-anchored End-to-end Diffusion (SpeeDiff), a latent diffusion method that jointly trains the VAE and the diffusion model from scratch.We present Scalable Pixel-anchored End-to-end Diffusion (SpeeDiff), a latent diffusion method that jointly trains the VAE and the diffusion model from scratch.

    Preprint: new model
    Paper
    arXiv·Oct 28

    SEEK: Skill Extraction with Evolving Knowledge against Frontier Science Agents

    Gui C, Zheng X, Wu Y et al.

    Science agents increasingly package domain expertise as reusable skills that plan analyses, select tools, and execute workflows.Science agents increasingly package domain expertise as reusable skills that plan analyses, select tools, and execute workflows. This modularity creates a confidentiality risk: the interactions that deliver a skill's capability…

    Preprint: new model
    Paper
    arXiv·Oct 28

    EgoHand: Monocular 3D Hand Reconstruction from Egocentric Video

    Chen CY, Chen T, Duan L et al.

    We introduce EgoHand, a monocular 3D hand reconstruction model that achieves state-of-the-art performance on egocentric video.We introduce EgoHand, a monocular 3D hand reconstruction model that achieves state-of-the-art performance on egocentric video.

    Preprint: new model
    Paper

    Fri, Oct 162 papers

    arXiv·Oct 16

    Spark-0: Scaling Spatially Aligned Tactile Pretraining for Robot Dexterous Manipulation

    Chen T, Lin W, Lyu C et al.

    Generalist robot policies benefit from large-scale visual pretraining but often struggle with contact-rich dexterous manipulation, where force, compliance, and incipient…Generalist robot policies benefit from large-scale visual pretraining but often struggle with contact-rich dexterous manipulation, where force, compliance, and incipient slip are hard to observe from images.

    Preprint: new model
    Paper
    arXiv·Oct 16

    Whole-Body Dexterity

    Gartoll CM, Dang A, Thangeda P et al.

    Current humanoid dexterous manipulation remains largely confined to end-effectors and simple grasps, falling short of humans' ability to engage the entire body by bracing…Current humanoid dexterous manipulation remains largely confined to end-effectors and simple grasps, falling short of humans' ability to engage the entire body by bracing and sliding bulky objects against the arms and torso.

    Preprint: new model
    Paper