// radar de ia

Geração de Imagem

Papers, modelos e datasets em alta no Hugging Face, além do blog oficial — com leitura editorial em português.

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Blog Geração de Imagem

Adversarially Guided Diffusion for LiDAR Range Image Synthesis

arXiv:2607.09787v1 Announce Type: new Abstract: LiDAR semantic segmentation is a key perception task in autonomous driving, where false predictions can affect downstream planning and safety-critical decision-making. Although adversarial attacks, and specifically adversarial examples, have been widely studied for image classification and 3D point cloud segmentation, unrestricted adversarial examples remain largely unexplored in the space of 2D range images, which are projections of 3D point cloud...

14.07.2026
Blog LLMs & Texto

From Direction to Magnitude: How Multimodal Instruction-Tuning Reorganizes the Geometric Encoding of Identity-Specifying Prompts in Transformer Hidden States

arXiv:2607.09842v1 Announce Type: new Abstract: We investigate whether identity-specifying system prompts produce statistically distinguishable geometric fingerprints in the hidden-state trajectories of four open-weight transformer language models spanning four post-training regimes: no training (Gemma-4-E4B base), multimodal RLHF (Gemma-4-E4B-it), RL distillation (DeepSeek-R1-Distill-Qwen-7B), and SFT (Qwen2.5-7B-Instruct). Three prompt conditions (an identity-specifying axis prompt, a length-m...

14.07.2026
Blog Geração de Imagem

Quota Marketplace: Dynamic Pricing for Efficient Allocation of ML Training Resources

arXiv:2607.09802v1 Announce Type: new Abstract: The escalating demand for Machine Learning (ML) training resources in recent years has resulted in a substantial gap between the high demand and the available supply. Efficient allocation of these scarce and expensive resources is crucial for organizations to maximize their return on investment. Existing resource allocation mechanisms, like Karma [OSDI'23], are designed to guarantee Pareto efficiency and max-min fairness in settings with dynamic (t...

14.07.2026
Blog LLMs & Texto

AuditWeave: A Tamper-Evident, Auditor-Navigable Evidence Layer for AI-Assisted and Data-Transformation Workflows

arXiv:2607.09682v1 Announce Type: new Abstract: AI systems are increasingly used to assist consequential decisions in regulated domains such as auditing, finance, and healthcare. This creates a recurring obligation: an organization must be able to reconstruct, after the fact, which evidence informed a given conclusion, and to show that the record of that reasoning was not altered. Existing tools address related but distinct problems - model observability, drift monitoring, governance reporting -...

14.07.2026
Blog Geração de Imagem

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis

arXiv:2607.09753v1 Announce Type: new Abstract: Diffusion models have achieved remarkable success across diverse domains, with performance closely related to the denoising backbones that parameterize the score function. In this paper, we present a systematic, phase-aware analysis of diffusion components and show that abrupt, early-stage fluctuations in deep latents are strongly associated with artifacts. Guided by these findings, we introduce DUNE (Diffusion Unified Network refiNEr), a training-...

14.07.2026
Blog LLMs & Texto

Vision Transformers aprendem pistas de figura-fundo semelhantes às da Gestalt a partir de imagens naturais

arXiv:2607.08932v1 Tipo de anúncio: novo Resumo: A organização figura-fundo no sistema visual humano se baseia em várias pistas fundamentadas na forma, incluindo cercamento, convexidade e simetria. Embora essas pistas tenham sido extensamente estudadas usando estímulos abstratos, pouco se sabe sobre como elas operam sob condições naturais ou como surgem a partir das estatísticas de cenas naturais. As redes neurais profundas oferecem um caminho promissor à frente: um modelo que se baseie nas mesmas pistas de figura-fundo que os humanos...

13.07.2026
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