arXiv:2609.06131v1 Announce Type: new Abstract: Environmental identification in wireless sensing is essential for 6G integrated sensing and communication…
SCIRIGOR:Evaluating Open-Ended Scientific Analysis Beyond Final Scores
arXiv:2609.06192v1 Announce Type: new Abstract: Scientific coding agents produce interdependent code, results, figures, and claims, yet evaluating final…
Substrate-Portable Execution for Production LLM Workflows
arXiv:2609.06128v1 Announce Type: new Abstract: Production LLM agents execute tool-calling loops, retrieval chains, and compositional workflows in…
Customer Relationship Intelligence: Integrating CRM and MDM for Enhanced Customer Engagement
arXiv:2609.06189v1 Announce Type: new Abstract: This study examines how Customer Relationship Management (CRM), Master Data Management (MDM), and Customer…
MVFA: A Multi-View Text-Guided Multimodal Fusion LLM Adapter for Sentiment Analysis and Emotion Recognition
arXiv:2609.06188v1 Announce Type: new Abstract: Multimodal sentiment analysis and emotion recognition in conversations demand effective modeling of…
AI News Brief Hourly Summary 2026-09-10 11h : 11 posts
11 posts published in the last hour 08:33LayerRoute: Action-Conditioned Mixture-of-Layers Routing for Vision-Language-Action Policies 08:33SAP: State-Guided Data Synthesis with Argument Provenance for Multi-Turn Tool Use 08:33CWF: A Collaborative Writing Framework for Personalized and Reliable Popular Science Writing 08:33Explaining AI Agents…
LayerRoute: Action-Conditioned Mixture-of-Layers Routing for Vision-Language-Action Policies
arXiv:2609.06079v1 Announce Type: new Abstract: Vision-Language-Action (VLA) policies leverage pretrained vision-language models (VLMs) to guide action…
SAP: State-Guided Data Synthesis with Argument Provenance for Multi-Turn Tool Use
arXiv:2609.06124v1 Announce Type: new Abstract: High-quality multi-turn tool-use data is essential for training agentic models, yet existing data…
CWF: A Collaborative Writing Framework for Personalized and Reliable Popular Science Writing
arXiv:2609.06126v1 Announce Type: new Abstract: We introduce Personalized and Reliable Popular Science Writing, a novel task that requires adapting…
Explaining AI Agents Through Execution Traces
arXiv:2609.06063v1 Announce Type: new Abstract: AI Agents are increasingly deployed in real-world settings, where they interact with external tools and…
Generating Instance Generators in PDDL Planning
arXiv:2609.06071v1 Announce Type: new Abstract: PDDL, the de-facto standard language in the AI Planning community, is designed to specify planning…
Agentic Pressure: The Endogenous Entropy of Reliable Autonomy
arXiv:2609.05995v1 Announce Type: new Abstract: Achieving reliable autonomy in the wild requires agents to sustain continuous operations across…
Generator-Independent Runtime Assurance under Partial Observation
arXiv:2609.06036v1 Announce Type: new Abstract: Proposal-based controllers—learned policies, language-model planners, and other black-box…
DAREBench: Deployment-Aware and Reliable Evaluation of Models as Agents
arXiv:2609.06059v1 Announce Type: new Abstract: As large language models evolve from question-answering systems into general-purpose agents, evaluation…
MOAE: Multi-Objective Agent Evolution with Pareto-Preserving Search
arXiv:2609.05992v1 Announce Type: new Abstract: As LLM-based agents continue to advance, their evaluation has become increasingly multifaceted: a capable…
Beyond Final Decisions: A Process-Centric Benchmark for Transparent AI-Assisted Peer Review
arXiv:2609.05947v1 Announce Type: new Abstract: Peer review is central to quality control in science. However, existing evaluations of AI-assisted peer…
AI News Brief Hourly Summary 2026-09-10 10h : 12 posts
12 posts published in the last hour 07:32Learning Counterfactual World Models for Embodied Reasoning under Partial Observability 07:32Multimodal Resource-Exhaustion Attacks on Vision-Language Models via Joint Pixel-Prompt Optimization 07:32The End of AI Exponentiation: Fluttering Inside and Outside AI Bubble 07:32Beyond Top-$k$…
Learning Counterfactual World Models for Embodied Reasoning under Partial Observability
arXiv:2609.05834v1 Announce Type: new Abstract: World models promise a general route to embodied intelligence: learn predictive dynamics once, then…