📰 Reads

arXiv:2604.24801v1 Announce Type: cross Abstract: Autoregressive transformers make confident errors, but activation monitoring can catch them only if the model

arXiv:2604.24806v1 Announce Type: cross Abstract: Modern Deep Learning Recommendation Models (DLRMs) follow scaling laws with sequence length, driving the front

arXiv:2604.24807v1 Announce Type: cross Abstract: Quantum computing instructors face a compounding problem: the concepts are counterintuitive, the mathematical

arXiv:2604.24808v1 Announce Type: cross Abstract: Large language model tutors are easy to build in a notebook and hard to run in a real course. We describe ITAS

arXiv:2604.24809v1 Announce Type: cross Abstract: We present Nautile-370M, a 371-million-parameter small language model designed for efficient reasoning under s

arXiv:2604.24810v2 Announce Type: cross Abstract: Edge computing environments impose strict constraints on energy consumption and latency, making the deployment

arXiv:2604.24811v1 Announce Type: cross Abstract: Graph neural Ordinary Differential Equations (ODE) combine neural ODE with the message passing mechanism of Gr

arXiv:2604.24814v1 Announce Type: cross Abstract: In this paper, we introduce SWE-QA, a text and code corpus aimed at benchmarking multi-hop code comprehension,

arXiv:2604.24819v1 Announce Type: cross Abstract: Reliably transferring specialized human knowledge from text into large language models remains a fundamental c

arXiv:2604.24820v1 Announce Type: cross Abstract: Long contexts improve capabilities of large language models but pose serious hardware challenges: compute and

arXiv:2604.24826v1 Announce Type: cross Abstract: This report presents a comparative evaluation of DKnownAI Guard in AI agent security scenarios, benchmarked ag

arXiv:2604.24827v1 Announce Type: cross Abstract: Closed-source frontier labs do not disclose parameter counts, and the standard alternative -- inference econom

arXiv:2604.24832v1 Announce Type: cross Abstract: Masked diffusion language models (MDMs) have recently emerged as a promising alternative to standard autoregre

arXiv:2604.24833v1 Announce Type: cross Abstract: Despite transformative advances in generative motion synthesis, real-time interactive motion control remains d

arXiv:2604.24838v1 Announce Type: cross Abstract: We present spectroxide, a code package for computing cosmic microwave background spectral distortions in which

arXiv:2604.24877v1 Announce Type: cross Abstract: Controlling illumination in images is essential for photography and visual content creation. While closed-sour

arXiv:2604.24878v1 Announce Type: cross Abstract: We provide a systematic recipe for translating ReLU approximation results to softmax attention mechanism. This

arXiv:2604.24905v1 Announce Type: cross Abstract: Decision-making under changing conditions remains a fundamental challenge in many real-world systems. Existing

arXiv:2604.24911v1 Announce Type: cross Abstract: Machine Learning is becoming more prevalent in science and engineering, but many approaches do not provide mea

arXiv:2604.24916v1 Announce Type: cross Abstract: We introduce asRoBallet, to the best of our knowledge, the first successful deployment of reinforcement learni

arXiv:2604.24920v1 Announce Type: cross Abstract: Agentic systems increasingly act with user secrets for APIs, messaging platforms, and cloud services. Today's

arXiv:2604.24921v1 Announce Type: cross Abstract: Vision-Language-Action (VLA) models are a promising paradigm for generalist robotic manipulation by grounding

arXiv:2604.24927v1 Announce Type: cross Abstract: Generating diverse responses is crucial for test-time scaling of large language models (LLMs), yet standard st

arXiv:2604.24929v1 Announce Type: cross Abstract: Agent benchmarks remain largely English-centric, while their multilingual versions are often built with machin