arXiv:2605.21071v4 Announce Type: replace-cross Abstract: The rapid progress of large language models (LLMs) is shifting semantic search toward a…
Author: script
TIDE: Proactive Multi-Problem Discovery via Template-Guided Iteration
arXiv:2606.04743v2 Announce Type: replace-cross Abstract: Agents are widely deployed as assistants over documents, tools, and code. However, they…
PhoneWorld: Scaling Phone-Use Agent Environments
arXiv:2605.29486v2 Announce Type: replace-cross Abstract: A central bottleneck for phone-use agents is that controllable, reproducible environments…
SomaliBench Eval: Measuring English-to-Somali Refusal Gaps in Open-Weight Language Models
arXiv:2605.25420v2 Announce Type: replace-cross Abstract: Large language model safety evaluation remains heavily English-centered, leaving low-resource…
VISOR: Agentic Visual Retrieval-Augmented Generation via Iterative Search and Over-horizon Reasoning
arXiv:2604.09508v2 Announce Type: replace-cross Abstract: Visual Retrieval-Augmented Generation (VRAG) empowers Vision-Language Models to retrieve and…
AI News Brief Hourly Summary 2026-08-18 05h : 12 posts
12 posts published in the last hour 02:32An InSAR Phase Unwrapping Framework for Large-scale and Complex Events 02:32Early Stopping for Large Reasoning Models via Confidence Dynamics 02:32A Systematic Comparison of Training Objectives for Out-of-Distribution Detection in Image Classification 02:31Adaptive Stopping…
An InSAR Phase Unwrapping Framework for Large-scale and Complex Events
arXiv:2603.21378v2 Announce Type: replace-cross Abstract: Phase unwrapping remains a critical and challenging problem in InSAR processing, particularly in…
Early Stopping for Large Reasoning Models via Confidence Dynamics
arXiv:2604.04930v2 Announce Type: replace-cross Abstract: Large reasoning models rely on long chain-of-thought generation to solve complex problems, but…
A Systematic Comparison of Training Objectives for Out-of-Distribution Detection in Image Classification
arXiv:2603.07571v3 Announce Type: replace-cross Abstract: Out-of-distribution (OOD) detection is critical in safety-sensitive applications. While this…
Adaptive Stopping for Multi-Turn LLM Reasoning
arXiv:2604.01413v3 Announce Type: replace-cross Abstract: Large Language Models (LLMs) increasingly rely on multi-turn reasoning and interaction, such as…