Evolution as a cosmic drama: matter rising through life into reflective humanity, converging toward a planetary mind. Teilhard says this “ultra-human” destiny fuses science and spirit, where God is not above but ahead—emerging as love at the core of creation, and igniting the world into a conscious fire.

Ver mais

arXiv:2601.12707v1 Announce Type: cross Abstract: Estimating the unknown reward functions driving agents’ behaviors is of central interest in inverse reinforcement learning and game theory. To tackle this problem, we develop a unified framework for reward function recovery in two-player zero-sum matrix games and Markov games with entropy regularization, where we aim to reconstruct the underlying reward functions given observed players’ strategies and actions. This task is challenging due to the inherent ambiguity of inverse problems, the non-uniqueness of […]

Ver mais

arXiv:2604.15368v1 Announce Type: new Abstract: LLM debugging agents that consume cloud logs and execute remediation commands are vulnerable to indirect prompt injection through log content. We present LogJack, a benchmark of 42 payloads across 5 cloud log categories, and evaluate 8 foundation models under 3 prompt conditions with 5 independent trials each (n = 160 per model per condition on 32 attack payloads). Under the active condition, verbatim command execution rates range from 0% (Claude Sonnet 4.6) to […]

Ver mais

arXiv:2601.22218v1 Announce Type: new Abstract: Visual Question Answering (VQA) has become an important benchmark for assessing how large multimodal models (LMMs) interpret images. However, most VQA datasets focus on real-world images or simple diagrammatic analysis, with few focused on interpreting complex scientific charts. Indeed, many VQA datasets that analyze charts do not contain the underlying data behind those charts or assume a 1-to-1 correspondence between chart marks and underlying data. In reality, charts are transformations (i.e. analysis, simplification, […]

Ver mais

arXiv:2411.00839v3 Announce Type: replace-cross Abstract: Deep learning has led to tremendous success in computer vision, largely due to Convolutional Neural Networks (CNNs). However, CNNs have been shown to be vulnerable to crafted adversarial perturbations. This vulnerability of adversarial examples has has motivated research into improving model robustness through adversarial detection and defense methods. In this paper, we address the adversarial robustness of CNNs through causal reasoning. We propose CausAdv: a causal framework for detecting adversarial examples based on […]

Ver mais

For those who aren’t aware, Mend Renovate (aka Renovate CLI aka Renovate) is an Open Source project for automating dependency updates across dozens of package managers and package ecosystems, 9 different platforms (GitHub, GitLab, Azure DevOps and more), and boasts support for tuning its behaviour to fit how you want dependency updates.

Ver mais

arXiv:2602.17799v1 Announce Type: new Abstract: Recent advances in Vision Language Models (VLMs) and Vision Foundation Models (VFMs) have opened new opportunities for zero-shot text-guided segmentation of remote sensing imagery. However, most existing approaches still rely on additional trainable components, limiting their generalisation and practical applicability. In this work, we investigate to what extent text-based remote sensing segmentation can be achieved without additional training, by relying solely on existing foundation models. We propose a simple yet effective approach that […]

Ver mais

In modern Retrieval-Augmented Generation (RAG) systems, handling large documents efficiently is critical. Embedding models have token limits that, when exceeded, can lead to incomplete processing or errors. This is where chunking becomes critical. By breaking large documents into smaller, manageable pieces, chunking ensures that information remains accessible, relevant, and optimized for retrieval and processing. In this blog post, we will dive deep into chunking techniques with Langformers, exploring all three Fixed-size, Semantic and Recursive chunking strategies — complete […]

Ver mais