arXiv:2608.08512v1 Announce Type: new Abstract: Evolving documents, such as laws, tax codes, and software documentation, are amended, replaced, and…
TrustRoboReward: Preference-Ordered Isotonic Score Editing for Multi-Paradigm Robot Reward Models
arXiv:2608.08491v1 Announce Type: new Abstract: Reward models are a bottleneck for reinforcement learning in embodied AI. Long-horizon robotic…
MathShikkha: A Controlled Study of Answer-Only and Chain-of-Thought Supervision for Bangla Mathematical Reasoning in Small Language Models
arXiv:2608.08503v1 Announce Type: new Abstract: Mathematical reasoning remains challenging in low-resource languages such as Bangla. We study whether…
Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs
arXiv:2608.08506v1 Announce Type: new Abstract: Training-free low-rank compression frameworks have been gaining prominence for LLM compression given their…
Moshe Sambol, VP of Customer Solutions at Lightrun – Interview Series
Moshe Sambol, VP of Customer Solutions at Lightrun – brings more than two decades of experience spanning software engineering, architecture, cloud…
HoloAegis: Frozen Representation, Topological Inference: Minimally Parametric Safety Manifolds for Zero-Shot LLM Guardrails
arXiv:2608.08485v1 Announce Type: new Abstract: Current LLM safety guardrails face a fundamental tension: fine-tuning distorts pre-trained representations…
AI News Brief Hourly Summary 2026-08-11 17h : 14 posts
14 posts were published in the last hour 14:33 : LLM within MCP Matters: Measuring Inefficient Resource Utilization Driven by LLMs 14:33 : What Keeps Agent Skills from Being Reusable? Evidence from 138K SKILL.md Files 14:33 : Aero Realtime: Fully…
LLM within MCP Matters: Measuring Inefficient Resource Utilization Driven by LLMs
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…