arXiv:2608.15064v1 Announce Type: new Abstract: Parsing visual documents into machine-readable representations is fundamental to document intelligence.…
S2-MoE: Enabling Efficient Self-Speculative Decoding for Mixture-of-Experts on Edge Devices
arXiv:2608.15018v1 Announce Type: new Abstract: Deploying large language models (LLMs) for inference on edge devices is challenging due to severe memory…
LLM-Based Hierarchical Coordinated Control with Continuation-Aware Policy Learning
arXiv:2608.15041v1 Announce Type: new Abstract: Coordinating multiple interacting units in complex engineering systems is challenging when system…
SCOPE: Score-Isolated Agentic Optimization for Video World Models
arXiv:2608.15043v1 Announce Type: new Abstract: Video world models are increasingly used as simulators for planning and embodied decision making, yet…
Gathered, Not Admitted: How Attention Brings a Latent Variable into Verbalizable Form
arXiv:2608.15022v1 Announce Type: new Abstract: Language models hold latent quantities in a form they can report on, and more of a quantity is present in…
Reading Zhipu’s GLM-5.3 results past the headline number
Zhipu’s release note for GLM-5.3 contains a sentence that did not make it into most of the coverage. Describing its own cybersecurity results, the Beijing…
Andy: A Mathematical Agent for Rigorous Proof and Autonomous Research
arXiv:2608.15052v1 Announce Type: new Abstract: Andy is an autonomous mathematical research agent that solves and verifies submitted problems, formulates…
AI News Brief Hourly Summary 2026-08-18 12h : 12 posts
12 posts published in the last hour 09:33T-LLM Compiler: Trusted LLM-based Code Optimization and Verification Framework 09:33Demand-Driven Vertiport Siting and Discrete-Event Fleet Simulation for On-Demand Urban Air Mobility Network Design 09:32RETRACE: Resilience-Guided Trait-Conditioned Craving Estimation from Wearable Physiology in Opioid…
T-LLM Compiler: Trusted LLM-based Code Optimization and Verification Framework
arXiv:2608.14953v1 Announce Type: new Abstract: Recent advances in Large Language Models (LLMs) have opened opportunities to apply high-level code…
Demand-Driven Vertiport Siting and Discrete-Event Fleet Simulation for On-Demand Urban Air Mobility Network Design
arXiv:2608.14974v1 Announce Type: new Abstract: This paper presents a demand-driven framework for on-demand Urban Air Mobility (UAM) network design that…
RETRACE: Resilience-Guided Trait-Conditioned Craving Estimation from Wearable Physiology in Opioid Use Disorder
arXiv:2608.14947v1 Announce Type: new Abstract: Detecting opioid craving from wearable physiological signals is critical yet difficult, with the potential…
Does a Tool Result Carry More Authority Than Plain Text? Three Prospective Studies of False-Claim Adoption in a Synthetic Assignment Task with Claude Opus 5
arXiv:2608.14992v1 Announce Type: new Abstract: Language-model systems increasingly read from stores they also write to, so a claim that was merely…
Trust Is Not Enough: Influence Calibration for On-Policy Self-Distillation in Agentic RL
arXiv:2608.14945v1 Announce Type: new Abstract: On-policy self-distillation (OPSD) gives language agents dense token-level supervision from a privileged…
Skill Blocks: How Should an Agent Load Its Skill? A Caching-Correct Comparison of Pre-load, On-Demand Tool-Loading, Progressive Disclosure, and Hybrid
arXiv:2608.14943v1 Announce Type: new Abstract: Agent skills are often injected in full on every request, increasing token cost. We compare four…
LLMs Can Predict Failure Risk, But Struggle to Predict Which Collaboration Protocol Pays Off: Cost-Aware Protocol Routing Across Reasoning Tasks
arXiv:2608.14927v1 Announce Type: new Abstract: Multi-agent large language model (LLM) systems can improve reasoning by spending more computation, but…
When Is an Agent Evaluation Over? Outcome Finality and Cross-Unit Separation
arXiv:2608.14940v1 Announce Type: new Abstract: Current agent evaluations score models on the state visible at the end of a stopped run which they count…
Frontier AI Forecasting Has a Measurement Problem: An Audit of Progress Evidence
arXiv:2608.14903v1 Announce Type: new Abstract: Quantitative forecasts of frontier artificial intelligence often connect dated targets to trends in…
LG Hosts NVIDIA at Seoul Robot Data Factory as 100,000-Hour Training Push Takes Shape
LG Electronics hosted senior NVIDIA officials at its new robot Data Factory in Seoul on August 18, 2026, announcing an accelerated robotics collaboration…