arXiv:2608.24509v1 Announce Type: new Abstract: LLM agents increasingly solve tasks by invoking multiple tools, where parallel execution is essential for…
Category: AI
Neurosymbolic Alignment for Physiologically-Safe Clinical Language Models
arXiv:2608.24534v1 Announce Type: new Abstract: Clinical LLMs can generate recommendations that are factually plausible yet physiologically unsafe. We…
Arga is building a better way to train enterprise AI agents
Arga has raised $10 million in a seed funding round that was led by General Catalyst, with participation from Box Group, Emergence, Gradient and SV Angel.
When “Must” Becomes “Maybe”: Constraint Weakening in LLM Agent Workflows
arXiv:2608.24569v1 Announce Type: new Abstract: Large language model (LLM) agents coordinate complex tasks through multi-role and multi-stage workflows.…
Why Human Judgment in Trucking Needs to Move Up the AI Stack
For the better part of the past decade, trucking’s biggest pressure points revolved around speed and access. Real-time visibility, rate data, freight…
Discovering Adaptive Transmission Programs for Collective Innovation
arXiv:2608.24545v1 Announce Type: new Abstract: Human collective intelligence depends on transmission processes: who shares what with whom, how, and when.…
Pro-Kremlin deepfakes put surrender rhetoric in the mouths of Ukrainian lawmakers
Pro-Kremlin Telegram channels are spreading AI-generated deepfake videos of two Ukrainian lawmakers who appear to call for peace talks. The clips racked…
Implicit Q-learning-bootstrapped ant colony optimization for maritime moving-target observation scheduling with agile satellites
arXiv:2608.24471v1 Announce Type: new Abstract: Maritime moving-target observation scheduling with agile Earth observation satellites is a dynamic,…
A Behavior-Guided Online Probabilistic Forecasting Method for Electric vehicle Charging Loads
arXiv:2608.24441v1 Announce Type: new Abstract: Electric vehicle (EV) charging loads exhibit strong behavioral heterogeneity and temporal variability,…
Reinforcement Learning-Guided Evolutionary Policy Optimization for Preference-Adjustable Heterogeneous Agile Earth Observation Satellite Scheduling
arXiv:2608.24470v1 Announce Type: new Abstract: Heterogeneous agile Earth observation satellite (AEOS) scheduling requires task selection, satellite…