arXiv:2607.26787v3 Announce Type: replace Abstract: Markov Decision Processes (MDPs) are widely used as decision-making models, commonly specified over…
Author: script
Homebot: A Personal AI Agent for Conversational Home Assistance and Automation
arXiv:2608.02254v2 Announce Type: replace Abstract: \texttt{Homebot} is a locally deployable AI agent for conversational household assistance and…
Can AI agents conduct open-ended AI research? Early evidence from two case studies
arXiv:2607.27191v2 Announce Type: replace Abstract: Forecasts of explosive AI progress hinge on AI agents automating AI research. But evidence on whether…
H+ Embedding: Harmonizing Global and Token-Level Retrieval with Context-Dependent Phrases
arXiv:2608.00065v3 Announce Type: replace Abstract: Terminology-intensive retrieval, especially in medical settings, depends on preserving multi-word…
OpenForgeRL: Train Harness-native Agents in Any Environment
arXiv:2607.21557v3 Announce Type: replace Abstract: Modern AI agents rely on elaborate inference harnesses such as Claude Code, Codex, and OpenClaw to…
AI News Brief Hourly Summary 2026-08-11 04h : 11 posts
11 posts were published in the last hour 1:31 : Semantic Adapter Routing with Fine-Tuning Task Embeddings 1:31 : Same Answer, Different Confidence: Protocol Sensitivity in LLM Confidence Calibration 1:31 : ForesightSafety-SAGE:A Fully Automated Scenario Generation and Safety Evaluation Framework…
Semantic Adapter Routing with Fine-Tuning Task Embeddings
arXiv:2606.19079v2 Announce Type: replace Abstract: Parameter-efficient fine-tuning (PEFT) has led to model ecosystems in which a single backbone is…
Same Answer, Different Confidence: Protocol Sensitivity in LLM Confidence Calibration
arXiv:2605.27752v3 Announce Type: replace Abstract: Is verbalized confidence better calibrated than token likelihood? The answer depends on how the token…
ForesightSafety-SAGE:A Fully Automated Scenario Generation and Safety Evaluation Framework for LLM Agents
arXiv:2606.08531v2 Announce Type: replace Abstract: Large language models (LLMs) are increasingly evolving from simple text-based interaction systems into…
Learning Visual Spatial Planning from Symbolic State via Modality-Gap-Aware Self-Distillation
arXiv:2606.06076v3 Announce Type: replace Abstract: While Vision-Language Models excel at general multimodal understanding, they still struggle with…