Copertina

Prediction Arena: Benchmarking AI Models on Real-World Prediction Markets

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Jaden, Liu, Gardenia, Johansson, Oliver, Yitayew, Hileamlak, Ohly, Kamryn, Li, Grace
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Artificial Intelligence General Economics Economics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Balancing Profit and Fairness in Risk-Based Pricing Markets
di: Thibodeau, Jesse, et al.
Pubblicazione: (2025)

Faithful Group Shapley Value
di: Lee, Kiljae, et al.
Pubblicazione: (2025)

Is there "Secret Sauce'' in Large Language Model Development?
di: Mertens, Matthias, et al.
Pubblicazione: (2026)

Adventures in Demand Analysis Using AI
di: Bach, Philipp, et al.
Pubblicazione: (2024)

Retrieval Augmented Generation for Topic Modeling in Organizational Research: An Introduction with Empirical Demonstration
di: Spielberger, Gerion, et al.
Pubblicazione: (2025)

Aligning Large Language Model Agents with Rational and Moral Preferences: A Supervised Fine-Tuning Approach
di: Lu, Wei, et al.
Pubblicazione: (2025)

NoLBERT: A No Lookahead(back) Foundational Language Model
di: Kakhbod, Ali, et al.
Pubblicazione: (2025)

Social Environment Design
di: Zhang, Edwin, et al.
Pubblicazione: (2024)

MarketBench: Evaluating AI Agents as Market Participants
di: Fradkin, Andrey, et al.
Pubblicazione: (2026)

AI Governance through Markets
di: Tomei, Philip Moreira, et al.
Pubblicazione: (2025)

Temporal Fusion Transformer for Multi-Horizon Probabilistic Forecasting of Weekly Retail Sales
di: Punati, Santhi Bharath, et al.
Pubblicazione: (2025)

Cracking the Code: Enhancing Development finance understanding with artificial intelligence
di: Beaucoral, Pierre
Pubblicazione: (2025)

Reinforcement Learning and Consumption-Savings Behavior
di: Kaplowitz, Brandon
Pubblicazione: (2025)

Evaluating COVID 19 Feature Contributions to Bitcoin Return Forecasting: Methodology Based on LightGBM and Genetic Optimization
di: Mahmoud, Imen, et al.
Pubblicazione: (2025)

Unpacking the Black Box: Regulating Algorithmic Decisions
di: Blattner, Laura, et al.
Pubblicazione: (2021)

AI and the Dynamic Supply of Training Data
di: Peukert, Christian, et al.
Pubblicazione: (2024)

NourishNet: Proactive Severity State Forecasting of Food Commodity Prices for Global Warning Systems
di: Balboni, Sydney, et al.
Pubblicazione: (2024)

A Comprehensive Review: Applicability of Deep Neural Networks in Business Decision Making and Market Prediction Investment
di: Trinh, Viet
Pubblicazione: (2025)

Regulatory Markets: The Future of AI Governance
di: Hadfield, Gillian K., et al.
Pubblicazione: (2023)

Algorithmic Inheritance: Surname Bias in AI Decisions Reinforces Intergenerational Inequality
di: Pataranutaporn, Pat, et al.
Pubblicazione: (2025)

Strategic Integration of Artificial Intelligence in the C-Suite: The Role of the Chief AI Officer
di: Schmitt, Marc
Pubblicazione: (2024)

Dissecting AI Trading: Behavioral Finance and Market Bubbles
di: Ouyang, Shumiao, et al.
Pubblicazione: (2026)

Deep Learning for Art Market Valuation
di: Mei, Jianping, et al.
Pubblicazione: (2025)

Evaluating the Impact of Multiple DER Aggregators on Wholesale Energy Markets: A Hybrid Mean Field Approach
di: He, Jun, et al.
Pubblicazione: (2024)

AI Token Futures Market: Commoditization of Compute and Derivatives Contract Design
di: Xing, Yicai
Pubblicazione: (2026)

Utility-inspired Reward Transformations Improve Reinforcement Learning Training of Language Models
di: Maura-Rivero, Roberto-Rafael, et al.
Pubblicazione: (2025)

Autonomy by Design: Preserving Human Autonomy in AI Decision-Support
di: Buijsman, Stefan, et al.
Pubblicazione: (2025)

Designing probabilistic AI monsoon forecasts to inform agricultural decision-making
di: Aitken, Colin, et al.
Pubblicazione: (2026)

From Individual Learning to Market Equilibrium: Correcting Structural and Parametric Biases in RL Simulations of Economic Models
di: Chen, Ruxin, et al.
Pubblicazione: (2025)

Double Jeopardy and Climate Impact in the Use of Large Language Models: Socio-economic Disparities and Reduced Utility for Non-English Speakers
di: Solatorio, Aivin V., et al.
Pubblicazione: (2024)

EconAgentic in DePIN Markets: A Large Language Model Approach to the Sharing Economy of Decentralized Physical Infrastructure
di: Liu, Yulin, et al.
Pubblicazione: (2025)

Decision-oriented benchmarking to transform AI weather forecast access: Application to the Indian monsoon
di: Masiwal, Rajat, et al.
Pubblicazione: (2026)

Probabilistic Forecasting of Real-Time Electricity Market Signals via Interpretable Generative AI
di: Wang, Xinyi, et al.
Pubblicazione: (2024)

Crashing Waves vs. Rising Tides: Preliminary Findings on AI Automation from Thousands of Worker Evaluations of Labor Market Tasks
di: Mertens, Matthias, et al.
Pubblicazione: (2026)

Can AI Help with Your Personal Finances?
di: Hean, Oudom, et al.
Pubblicazione: (2024)

SRNI-CAR: A comprehensive dataset for analyzing the Chinese automotive market
di: Ding, Ruixin, et al.
Pubblicazione: (2023)

Computational Basis of LLM's Decision Making in Social Simulation
di: Ma, Ji
Pubblicazione: (2025)

Multidimensional Knowledge Graph Embeddings for International Trade Flow Analysis
di: Nandini, Durgesh, et al.
Pubblicazione: (2024)

Tacit algorithmic collusion in deep reinforcement learning guided price competition: A study using EV charge pricing game
di: Paudel, Diwas, et al.
Pubblicazione: (2024)

Fair outputs, Biased Internals: Causal Potency and Asymmetry of Latent Bias in LLMs for High-Stakes Decisions
di: Tripathy, Jagdish, et al.
Pubblicazione: (2026)