arXiv:2608.08467v1 Announce Type: new Abstract: The Model Context Protocol (MCP) standardizes how servers expose data and tools to Large Language Models…
What Keeps Agent Skills from Being Reusable? Evidence from 138K SKILL.md Files
arXiv:2608.08453v1 Announce Type: new Abstract: Under the current standard, Agent Skills are SKILL.md files that combine instructions with supporting…
Aero Realtime: Fully Aligned Input-Output Streams for Low-Latency Streaming Multimodal Generation
arXiv:2608.08469v1 Announce Type: new Abstract: Existing streaming multimodal models process observations incrementally but still follow a turn-based…
Flagler Health Raises $50M Series B to Scale AI Operating System for Musculoskeletal Care
Flagler Health has raised $50 million in Series B funding as the healthcare technology company looks to expand its artificial intelligence platform across…
Yesterday’s Shield, Today’s Spear: A Self-Evolving Safety Guardrail in Production
arXiv:2608.08471v1 Announce Type: new Abstract: Deployed LLM safety guardrails are predominantly static: trained once and frozen at release, while new…
The Ultimate Guide to Contributing to Open Source Projects
This guide walks through what contributing to open source projects actually covers, how to pick a project that will actually respond to you, the exact git…
Hierarchical Self-Improvement: A Framework for Task-Specific Evolvable Agent Harnesses
arXiv:2608.08466v1 Announce Type: new Abstract: Modern LLM agents are often improved by modifying prompts, tools, or workflows manually, while the…
TRACE-Memory: Public-Conditioned Retrieval and Utility-Aware Evidence Admission for Personalized Generation
arXiv:2608.08446v1 Announce Type: new Abstract: Personalized generation systems retrieve user history by request–memory relevance and inject it into the…
Estimating Uncertainty in Galaxy Morphology Classification
arXiv:2608.08398v1 Announce Type: new Abstract: Astronomers classify galaxy morphology to investigate cosmic evolution. While deep foundation models are…
Not Worth Another Token: Marginal Value Estimation for Efficient Deep Research Agents
arXiv:2608.08389v1 Announce Type: new Abstract: Long-horizon research agents solve open-ended tasks through iterative retrieval, aggregation, and…
Forgotten History or Test-of-Time? Retrospect and Prospect on RAG from an IR Perspective
arXiv:2608.08445v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) is widely regarded as a novel paradigm born from the limitations of…
Thinking of ACE? We Can Do It with Fewer Tokens
This post has no text preview — click the link below to read the original article. This article has been indexed from Hugging Face – Blog Read the original article: Thinking of ACE? We Can Do It with Fewer Tokens
CAP: A Scalable Benchmark for Evaluating Cross-Site Browser Agents with Complex Actions and Perception
arXiv:2608.08392v1 Announce Type: new Abstract: Large language models are increasingly deployed as autonomous agents that interact with the web through…
AI News Brief Hourly Summary 2026-08-11 16h : 15 posts
15 posts were published in the last hour 13:33 : LLMVisor: A Real-Time Latency Attribution Model for Multi-Tenant LLM Serving 13:33 : Query-Only Backdoor Attacks on Self-Evolving Skills via Trajectory Poisoning 13:33 : Mitigating Over-Personalization in LLMs via Structured Memory…
LLMVisor: A Real-Time Latency Attribution Model for Multi-Tenant LLM Serving
arXiv:2608.08382v1 Announce Type: new Abstract: As LLM inference shifts to multi-tenant GPU clusters, co-batching improves throughput but obscures…
Query-Only Backdoor Attacks on Self-Evolving Skills via Trajectory Poisoning
arXiv:2608.08303v1 Announce Type: new Abstract: Agentic skills improve large language model (LLM) agents by encoding reusable procedures for complex…
Mitigating Over-Personalization in LLMs via Structured Memory
arXiv:2608.08300v1 Announce Type: new Abstract: Conversational assistants increasingly rely on persistent long-term memory to personalize responses across…
Fair on the Surface? Benchmarking Hidden-Output Fairness Gaps in LLM Recommenders
arXiv:2608.08284v1 Announce Type: new Abstract: Fairness audits for LLM-based recommenders have largely focused on observable outputs, implicitly assuming…