Information Aggregation with AI Agents

arXiv:2604.20050 · econ.GN, cs.AI, cs.GT, q-fin.EC · Submitted 2026-04-21 · Read on arXiv

econ.GN, cs.AI, cs.GT, q-fin.EC

Submitted: 2026-04-21

Updated: 2026-09-25

Terminology

• Aggregation — 97× in this paper · explained in 1 episode
• AI Agents — 68× in this paper · explained in 2 episodes
• Accuracy — 18× in this paper · explained in 1 episode
• Benchmark — 18× in this paper · explained in 2 episodes
• Robustness — 10× in this paper · explained in 5 episodes
• Cosine Similarity — 8× in this paper · explained in 3 episodes
• Hallucination — 8× in this paper · explained in 3 episodes
• Market Scoring Rule — 8× in this paper
• Mean Squared Error — 8× in this paper
• Generative AI — 5× in this paper · explained in 2 episodes
• Logarithmic Market Scoring Rule — 5× in this paper
• Standard Deviation — 5× in this paper
• Alignment — 4× in this paper · explained in 1 episode
• Clustering — 4× in this paper · explained in 2 episodes
• Failure Modes — 3× in this paper · explained in 3 episodes
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Abundance — 2× in this paper · explained in 1 episode
• Application Programming Interface — 2× in this paper
• Core — 2× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Semantic Alignment — 2× in this paper · explained in 3 episodes
• Automatic Market Maker — 1× in this paper
• Axioms — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 3 episodes
• Nash Equilibrium — 1× in this paper · explained in 2 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Sq Er — 1× in this paper
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment
• Designing Informative Securities
• LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
• Language Models (Mostly) Know What They Know
• Towards a Science of Scaling Agent Systems
• Humanity's Last Exam
• Generalizing Verifiable Instruction Following
• How manipulable are prediction markets?
• Can Large Language Models Express Uncertainty Like Human?
• Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs

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