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  • NeurIPS 2024 Papers
    GLBench: A Comprehensive Benchmark for Graph with Large Language Models T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition Benchmarking Complex Instruction-Following with Multiple Constraints Composition OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
  • CVPR 2026 Papers with Code Data - Paper Digest
    The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) is one of the top computer vision conferences in the world The 2026 event will be held in Denver, starting June 3rd To facilitate rapid community engagement with the presented research, we have compiled an extensive index of accepted papers that have associated public code or data repositories We list all of them in the
  • Arxiv今日论文 | 2026-06-02 | 闲记算法
    本篇博文主要内容为 2026-06-02 从Arxiv org论文网站获取的最新论文列表，自动更新，按照NLP、CV、ML、AI、IR、MA六个大方向区分。 说明：每日论文数据从Arxiv org获取，每天早上12:30左右定时自动更新。 提示: 当天未及时更新，有可能是Arxiv当日未有新的论文发布，也有可能是脚本出错。尽可能会在当天
  • A Survey on Vision-Language-Action Models for Autonomous Driving
    In this paper, we present the first comprehensive survey of Vision–Language–Action models for Autonomous Driving (VLA4AD), bridging the gap between classic AV reviews and the recent rise of VLA models
  • ICLR 2025 Papers
    Understanding Optimization in Deep Learning with Central Flows Inference Optimal VLMs Need Fewer Visual Tokens and More Parameters StochSync: Stochastic Diffusion Synchronization for Image Generation in Arbitrary Spaces Data Unlearning in Diffusion Models Repurposing in AI: A Distinct Approach or an Extension of Creative Problem Solving?
  • Arxiv今日论文 | 2026-06-09 | 闲记算法
    本篇博文主要内容为 2026-06-09 从Arxiv org论文网站获取的最新论文列表，自动更新，按照NLP、CV、ML、AI、IR、MA六个大方向区分。 说明：每日论文数据从Arxiv org获取，每天早上12:30左右定时自动更新。 提示: 当天未及时更新，有可能是Arxiv当日未有新的论文发布，也有可能是脚本出错。尽可能会在当天
  • arXivDaily每日学术速递，同步arXiv全量数据，AI总结、翻译，覆盖人工智能、机器人、计算机、金融、统计学、数学、物理学、生物学 . . .
    Specifically, we incorporate a diffusion model into the policy network and propose a trajectory-based data-reweighting scheme in training These key ingredients significantly improve algorithm robustness against environment changes and achieve significant improvements in performance, generalization and data-efficiency
  • GitHub - 52CV CVPR-2025-Papers
    Contribute to 52CV CVPR-2025-Papers development by creating an account on GitHub
  • Computer Science - arXiv. org
    These developments raise an intriguing possibility: synthetic data may help researchers ask more questions, run more studies, and accelerate discovery But they also raise a fundamental concern: synthetic data can be biased, noisy, and misspecified
  • Multimodal Benchmarks - a btjhjeon Collection - Hugging Face
    Unlock the magic of AI with handpicked models, awesome datasets, papers, and mind-blowing Spaces from btjhjeon
  • A Survey on Bridging VLMs and Synthetic Data | TechRxiv
    On the other hand, synthetic data, created through the use of generative AI-which can even include VLMs-offers a scalable and cost-effective solution to these challenges This paper presents the first comprehensive survey on bridging VLMs and synthetic data, exploring both the role of synthetic data in VLMs and the role of VLMs in synthetic data
  • Foundation Model Driven Robotics: A Comprehensive Review
    Together, VLMs mark a shift toward generalizable, sample-efficient, and scalable multimodal intelligence, bridging the gap between raw sensory input and language-based cognition in robotic systems
  • CVPR 2025 Accepted Papers
    CVPR 2025 Accepted Papers This page is cached for 1 hour Changes to affiliation or name in your local profile may take up to 60 minutes to appear here





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