Logarithmic Scores, Power-Law Discoveries: Disentangling Measurement from Coverage in Agent-Based Evaluation

arXiv:2604.00477 · cs.AI, cs.CL, cs.HC, cs.MA · Submitted 2026-04-01 · Read on arXiv

cs.AI, cs.CL, cs.HC, cs.MA

Submitted: 2026-04-01

Updated: 2026-10-10

Terminology

• Ablation — 1× in this paper · explained in 1 episode
• Trace — 1× in this paper · explained in 2 episodes

Sources

• IntellAgent: A Multi-Agent Framework for Evaluating Conversational AI Systems
• Personality Traits in Large Language Models
• UXAgent: A System for Simulating Usability Testing of Web Design with LLM Agents
• Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models
• Agent-as-a-Judge
• When AIs Judge AIs: The Rise of Agent-as-a-Judge Evaluation for LLMs

Related papers

• MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
• Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
• Agents' Last Exam
• The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
• MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
• Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems