arXiv AI
Jul 29
GAUGE: Grading Agent-Built Financial Models Without a Golden Answer
arXiv:2607. 24889v1 Announce Type: cross Abstract: Financial models combine public disclosures with analyst assumptions to produce forecasts and valuations.
The Price of Intelligence: A Quality-Adjusted Price Index for AI Services
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arXiv AI
Jul 17
Can We Trust Item Response Theory for AI Evaluation?
arXiv:2607. 15190v1 Announce Type: new Abstract: AI benchmarks increasingly leverage item-level statistical models, particularly item response theory (IRT), to estimate model capabilities, rank systems, select informative examples, and diagnose benchmark quality.
arXiv AI
Jun 9
AI Scientists Are Only as Good as Their Evidence: A Stratified Ablation of Proprietary Data and Reasoning Skills in Drug-Asset Valuation
arXiv:2606. 09556v1 Announce Type: new Abstract: AI Scientist agents are often evaluated as if capability were mainly a function of model quality, prompting, or reasoning scaffolds.
arXiv Machine Learning
4d ago
One Capability or Many? Testing the Economic Validity of Frontier AI Evaluation
arXiv:2608.29420v1 Announce Type: new Abstract: Frontier-model leaderboards now rank systems based on economic benchmarks, tests of how well models carry out professional tasks from software engineer...
arXiv AI
Jul 31
SARC-DQ: Runtime Data-Quality Gating for Agentic AI: Silent Evidence Defects, the Incompetence Shield, and Downstream-Only Remediation
arXiv:2607. 26313v1 Announce Type: cross Abstract: Agentic systems act, so a defect in the evidence they retrieve becomes a wrong action with a currency cost.
arXiv AI
Aug 25
The Measurement Revolution? Credible Measurement and Inference in the Age of AI
The article discusses how artificial intelligence is reshaping measurement in economics by converting unstructured data into structured variables at low cost, enabling large‑scale measurement that was previously infeasible. It outlines three stages—discovery, construct definition, and observation—where AI impacts the measurement pipeline and stresses the importance of rigorous validation to ensure credible inference. The review offers guidance on navigating the shift from a single scalable measure to multiple plausible ones that can lead to differing empirical conclusions.
arXiv AI
Aug 13
FrontierFinance: A Challenging Benchmark for Measuring Frontier Intelligence of Finance Agents
arXiv:2608. 11683v1 Announce Type: new Abstract: AI agents are increasingly deployed for professional investment research, yet no benchmark captures the complexity of the full investor workflow.
arXiv AI
Jun 2
Generative AI and Sales Productivity: Field Experiments in Online Retail
arXiv:2510. 12049v4 Announce Type: replace-cross Abstract: We quantify the short-term impact of Generative Artificial Intelligence (GenAI) on sales performance through a series of large-scale randomized field experiments involving millions of users and products at a leading cross-border online retail platform.
arXiv AI
Jul 14
Can Agentic Trading Systems Pay for Their Own Intelligence?
arXiv:2607. 10286v1 Announce Type: new Abstract: Large language model (LLM) agents are increasingly used in trading systems, where model reasoning, tool use, and continual decisions incur costs that are expected to produce trading value.
arXiv AI
Jun 4
Position: State-of-the-Art Claims Require State-of-the-Art Evidence
arXiv:2605. 17273v3 Announce Type: replace-cross Abstract: State-of-the-Art (SOTA) claims pervade Artificial Intelligence (AI) and Machine Learning (ML) research.
arXiv AI
Jul 13
DaDaDa: A Dataset for Data Pricing in Data Marketplaces
arXiv:2607. 08785v1 Announce Type: cross Abstract: High-quality data drives machine learning advances across industries.
arXiv AI
Jun 9
Supracompetitive Pricing Under AI Monoculture
arXiv:2601. 01279v3 Announce Type: replace-cross Abstract: When competing sellers delegate pricing to a shared AI model, such as a large language model, correlated recommendations combined with performance-driven updates aggregating seller feedback raise a key question: can standard AI deployment practices inadvertently produce supracompetitive pricing?