arXiv:2608.17501v1 Announce Type: new Abstract: Recent efforts toward fully automated AI scientists have demonstrated that language-model agents can…
SAGE: Self-Evolving Storyboard Skills via Attribution-Guided Rule Evolution
arXiv:2608.17468v1 Announce Type: new Abstract: Storyboards turn screenplays into visual shot plans for automated short drama production. Professional…
Towards Better Agents for Multi-Turn User Interaction: The Next User Turn Is More Than Context
arXiv:2608.17499v1 Announce Type: new Abstract: User-facing tool agents must coordinate dialogue and tool use as user goals unfold over multiple turns.…
Structure-Internalized Rule Language Model for Faithful Knowledge Graph Reasoning
arXiv:2608.17443v1 Announce Type: new Abstract: Knowledge Graph Reasoning (KGR) aims to discover latent facts by leveraging the structural evidence…
Developing an End-to-End Document Intelligence Pipeline with docTR for OCR, Layout Analysis, KIE, Benchmarking, and Searchable PDFs
Develop a complete document intelligence pipeline with docTR, integrating OCR, layout analysis, and KIE for production-oriented extraction and searchable…
When AI Designs AI: Innovation or Imitation?
arXiv:2608.17471v1 Announce Type: new Abstract: Recent advances in LLM agents have made them increasingly capable of designing methods for complex AI…
AI News Brief Hourly Summary 2026-08-19 09h : 13 posts
13 posts published in the last hour 06:32LLM-Only PDDL Domain Repair with Open-Weight Models 06:32Task-Aware Harness Provisioning for LLM Agents in Mission-Critical Infrastructure Operations 06:32LEGO-RL: Harness-Native Reinforcement Learning for Coding Agents 06:32Depth Enables Local Entropy: Quadratic Depth Dependence in Deep…
LLM-Only PDDL Domain Repair with Open-Weight Models
arXiv:2608.17341v1 Announce Type: new Abstract: AI planning is concerned with finding a sequence of actions that achieves a specified goal. It relies on…
Task-Aware Harness Provisioning for LLM Agents in Mission-Critical Infrastructure Operations
arXiv:2608.17433v1 Announce Type: new Abstract: LLM agents have been widely adopted to operate mission-critical infrastructure (MCI). These agents…
LEGO-RL: Harness-Native Reinforcement Learning for Coding Agents
arXiv:2608.17393v1 Announce Type: new Abstract: Reinforcement learning for coding agents increasingly relies on long-running agent harnesses to manage…
Depth Enables Local Entropy: Quadratic Depth Dependence in Deep Variation-Norm ReLU Regression
arXiv:2608.17434v1 Announce Type: new Abstract: We study Gaussian regression over the explicit vector-valued Parhi–Nowak deep-RBV^2 architecture with…
Amazon, which started off selling books, is destroying rare texts to train AI
Rare books are incredibly valuable for training LLMs, since these models have already trained on whatever’s available online.
Cognitive Graph Intelligence for Adaptive and Robust DDoS Attack Detection in Next Generation Networks
arXiv:2608.17352v1 Announce Type: new Abstract: Distributed Denial-of-Service (DDoS) attacks threaten network availability, requiring a cognitive…
Wuying-Browser-Agent: Real-World Centric Fundamental Long-Horizon Browser Agents
arXiv:2608.17319v1 Announce Type: new Abstract: Browser agents perform well on short, clean demonstrations, but real deployment is fundamentally…
TileMix: Tile-Centric Mixed-Precision Attention for LLM Inference Acceleration
arXiv:2608.17336v1 Announce Type: new Abstract: Long-context prefill in large language models (LLMs) incurs substantial computation and memory traffic…
LiveHouse-TS: An Open-world Living Benchmark for Time Series Foundation Models
arXiv:2608.17299v1 Announce Type: new Abstract: Time Series Foundation Models (TSFMs) have recently emerged as a highly promising paradigm for…
LLMs for Medical Consultation Are Evaluated Too Late: The Preformulation Gap
arXiv:2608.17330v1 Announce Type: new Abstract: Large language models for medical consultation are often evaluated after a clinical problem has already…
ChatGPT Ads expands across Europe
ChatGPT Ads is expanding to 31 European markets. Learn how advertisers can reach people as they explore, compare options, and make decisions.