arXiv:2608.19842v1 Announce Type: new Abstract: Agentic reinforcement learning (RL) has become a critical stage in the post-training of large language…
TESTNAV: Pareto-Guided Search for Compositional Robustness Testing
arXiv:2608.19882v1 Announce Type: new Abstract: Deep learning models remain vulnerable to real-world input perturbations, especially when multiple…
EnvHarness: Awakening Static Worlds for Agent Learning
arXiv:2608.19880v1 Announce Type: new Abstract: LLM agents learn by interacting with environments, yet these environments are hand-built and static: blind…
KnowledgeForge: mining gold from the ITSM ticket graveyard
KnowledgeForge mines resolved ITSM incident tickets into new knowledge base articles and automatically curates the existing library by deduplicating,…
Specification-delta-driven data governance: an empirical study of the {\guillemotleft}spec-delta{\guillemotright} as the unit of change in lakehouse data platforms
arXiv:2608.19838v1 Announce Type: new Abstract: Spec Driven Development SDD has consolidated the idea that the specification rather than the code should…
How Fanatics Betting and Gaming built a multi-agent customer support system
Fanatics Betting and Gaming built a multi-agent customer support system on AWS to handle the complexity of sports betting: state-specific rules, real-time…
PolicyGuide: From Guarding One Action to Guiding the Whole Workflow for Policy-Compliant LLM Agents
arXiv:2608.19861v1 Announce Type: new Abstract: Customer-service LLM agents must follow organizational policy when acting on a user’s behalf. Compliance…
When Saying No Makes Better Videos: Designing Dual Gatekeeping for Pedagogically Grounded AI Content Creation
arXiv:2608.19812v1 Announce Type: new Abstract: To prevent the adoption of aesthetically polished but pedagogically flawed AI content, we study a video…
LLMs as Acquisition Policies for Finite-Pool Materials Optimization: A Controlled Study
arXiv:2608.19790v1 Announce Type: new Abstract: Discovering materials with desirable properties often requires searching large candidate spaces while…
Towards general embodied intelligence: integrating large language models, knowledge bases, and reasoning capabilities to build the next generation of AI agents
arXiv:2608.19794v1 Announce Type: new Abstract: The convergence of large language models (LLMs), structured knowledge bases (KBs), and reasoning ability…
Causal Reasoning with Bipartite Graphical Causal Models
arXiv:2608.19831v1 Announce Type: new Abstract: Causal Bayesian networks (CBNs) and structural causal models (SCMs) are the dominant frameworks for…
ADAPT: Physics-Aware Diffusion-based World Models for Adaptive Predictive Transferable HVAC Control
arXiv:2608.19804v1 Announce Type: new Abstract: Buildings account for roughly one-third of global energy consumption and CO$_2$ emissions. Optimizing…
AI News Brief Hourly Summary 2026-08-21 08h : 14 posts
14 posts published in the last hour 05:32Beyond Memory Majority: Latent-Source Reasoning for Multi-Agent Memory Arbitration 05:32GenMatch: An End-to-End Generative Matching Framework for Micro-View Order-Dispatching in Ride-Hailing 05:32TT-net: Quantum Inspired Tensor Network Denoising in Conditional GANs 05:32SafeBranch: Branch-Pair Safety Alignment…
Beyond Memory Majority: Latent-Source Reasoning for Multi-Agent Memory Arbitration
arXiv:2608.19701v1 Announce Type: new Abstract: Long-term multi-agent systems continuously accumulate the memories produced by different agents. Existing…
GenMatch: An End-to-End Generative Matching Framework for Micro-View Order-Dispatching in Ride-Hailing
arXiv:2608.19751v1 Announce Type: new Abstract: Micro-View Order-Dispatching assigns available drivers to passenger orders within each dispatch batch and…
TT-net: Quantum Inspired Tensor Network Denoising in Conditional GANs
arXiv:2608.19789v1 Announce Type: new Abstract: Developed as a workhorse for classical simulations of quantum algorithms and quantum many-body systems,…
SafeBranch: Branch-Pair Safety Alignment for Embodied Agents
arXiv:2608.19729v1 Announce Type: new Abstract: Vision-language-model-based embodied agents can complete instructed tasks but often violate safety…
Stripe declares we’re living in the singularity and uses it as a reason not to IPO
In a letter to investors, Stripe declares January 1 the “beginning of the singularity” and uses that as a reason to stay private. Not that it needs one:…