arXiv:2610.33503v1 Announce Type: cross Abstract: Patent examination is a challenging real-world task that requires agents to discover sparse prior art,…
Error-Subspace Calibration for Multi-Task Model Merging
arXiv:2610.33483v1 Announce Type: cross Abstract: Model merging combines task-specific expert models into a single model without joint training on their…
Pacifo: An Efficient Fully Homomorphic Encryption-based Lightweight ResNet for Trustworthy Machine Learning as a Service
arXiv:2610.33525v1 Announce Type: cross Abstract: Machine Learning as a Service (MLaaS) has become a popular paradigm for deploying AI applications.…
Can Agentic Code Review Catch Vulnerabilities Before They Are Merged?
arXiv:2610.33509v1 Announce Type: cross Abstract: LLM agents have been increasingly adopted for security-focused code review, but existing benchmarks…
Energy Efficient Lung Tumor Segmentation with a modified CBAM ENet Skip Model
arXiv:2610.33479v1 Announce Type: cross Abstract: Lung tumor segmentation plays a vital role in early detection and treatment planning of lung cancer.…
AI News Brief Hourly Summary 2026-10-28 04h : 14 posts
14 posts published in the last hour 02:46Quantifying Meaning with SCAPE-T: Semantic Complexity from Encoder-Only Transformer Attention 02:46Exact Unlearning After Data Curation 02:46Anthropic is burning gas to feed the AI boom 02:46A Unified Analysis of Importance-Corrected Momentum Actor-Critic over a…
Quantifying Meaning with SCAPE-T: Semantic Complexity from Encoder-Only Transformer Attention
arXiv:2610.33441v1 Announce Type: cross Abstract: Automated semantic complexity estimation remains underexplored in NLP, despite important applications in…
Exact Unlearning After Data Curation
arXiv:2610.33426v1 Announce Type: cross Abstract: Training pipelines often remove similar examples before fitting a model. Deleting a raw record can…
Anthropic is burning gas to feed the AI boom
As it prepares to go public, Anthropic’s S-1 filing makes generative AI’s methane dependency glaringly obvious. “Competition for access to electrical…
A Unified Analysis of Importance-Corrected Momentum Actor-Critic over a Markovian Trajectory
arXiv:2610.33477v1 Announce Type: cross Abstract: We present a generic actor-critic method that combines a ridge-regularized pathwise least-squares…
Working with academic communities to build scientific understanding
OpenAI shares model results on the Kakeya conjecture, Exponential Time Hypothesis, and quantum chromodynamics—and how researchers can verify and build on…
LLMs in Cloud: A Discussion on Architecture, Orchestration, and Inference
arXiv:2610.33475v1 Announce Type: cross Abstract: The widespread deployment of foundational Large Language Models (LLM) across cloud datacenters marks a…
GPT-6.1 Sol helps CodeRabbit strengthen security across complex codebases
CodeRabbit uses GPT-6.1 Sol to investigate security risks across complex codebases. Its security agent helps developers review findings and proposed fixes.
MarineLife-16K: An Attribute-Rich Video-Text Dataset for Motion-Aware Marine Video Understanding
arXiv:2610.33478v1 Announce Type: cross Abstract: Marine video understanding is crucial for a wide range of real-world applications. However, existing…
MOSHO: A Native Discrete Shark-Inspired Metaheuristic for Hardware-Aware Neural Architecture Search
arXiv:2610.33358v1 Announce Type: cross Abstract: Hardware-aware neural architecture search (NAS) requires jointly optimizing predictive accuracy and…
A Deterministic Security Runtime for LLM Agents on MPI and Batch-Scheduled HPC Systems: Consensus-Governed, Hardware-Rooted Supervision of Every Rank
arXiv:2610.33318v1 Announce Type: cross Abstract: Large language model agents launch simulations on high-performance computing (HPC) systems, where one…
Responsibility Boundaries for Agentic Systems: A Comparative Evaluation of Probabilistic Agentic Programming
arXiv:2610.33312v1 Announce Type: cross Abstract: Language-model agents combine reasoning, tools, memory, delegation, and external effects. Authority is…
From Hype to ROI: An Economic Model for LLM Adoption in Information Systems and Security Operations
arXiv:2610.33352v1 Announce Type: cross Abstract: Large Language Models (LLMs) promise significant efficiency gains across information-intensive…