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Tag: AI
The Curious Case of Exploding DecPOMDPs: Containing the Fire through Policy Counting
arXiv:2608.17749v1 Announce Type: new Abstract: Decentralised partially observable Markov decision processes (DecPOMDPs) provide a general framework for…
Evaluating the Diversity of AI-Generated Content with Diversity Profiles
arXiv:2608.17731v1 Announce Type: new Abstract: Diversity is a fundamental criterion for evaluating generative artificial intelligence (AI) systems, yet…
Accuracy and Robustness of Model Cascades Under Data Perturbations
arXiv:2608.17711v1 Announce Type: new Abstract: Prediction cascades significantly reduce energy consumption of Artificial Intelligence (AI) models while…
Mixture-of-Expert Blocks Contain Strong Hallucination Detection Signals
arXiv:2608.17687v1 Announce Type: new Abstract: Despite their widespread use, Large Language Models (LLMs) remain limited by a fundamental problem: the…
Beyond Suspicious Steps: Ontological Trust in Long-Horizon Agents
arXiv:2608.17718v1 Announce Type: new Abstract: Long-horizon agents increasingly operate across many steps, tools, and observa- tions. In this setting,…
Auditing Self-Evolution in Financial Agents: Capability Gains, Security Drift, and Execution-Interface Mismatch
arXiv:2608.17684v1 Announce Type: new Abstract: Self-evolving agents turn experience into reusable skills, workflows, or memories, but post-evolution…
GraphWake: Group Polarization via Memory-Mediated Polarization Cascade in LLM-Agent Communities
arXiv:2608.17665v1 Announce Type: new Abstract: LLM-driven agents can autonomously exchange opinions on online platforms and form communities. Such…
Beyond the Trace: Coupling an Interpretable Reasoning-State Readout to Native MoE Routing
arXiv:2608.17638v1 Announce Type: new Abstract: What a reasoning model writes is only a partial record of the process that produces it. We introduce a…
Graph Surgery and the Do-Operator: A Precise Correspondence for Acyclic Structural Causal Models
arXiv:2608.17634v1 Announce Type: new Abstract: The $\operatorname{do}$-operator is described graphically by deleting arrows into its targets and…
