Report NEP-BIG-2025-02-24

This is the archive for NEP-BIG, a report on new working papers in the area of Big Data. Tom Coupé issued this report. It is usually issued weekly.

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Other reports in NEP-BIG

The following items were announced in this report:

• Zhouyu Shen & Dacheng Xiu, 2025. "Can Machines Learn Weak Signals?," NBER Working Papers 33421, National Bureau of Economic Research, Inc.
• Kubitza, Dennis Oliver & Weßling, Katarina, 2025. "Whole Lotta Training - Studying School-to-Training Transitions by Training Artificial Neural Networks," EconStor Preprints 310974, ZBW - Leibniz Information Centre for Economics.
• Item repec:osf:africa:vpuac_v1 is not listed on IDEAS anymore

• Yoontae Hwang & Yaxuan Kong & Stefan Zohren & Yongjae Lee, 2025. "Decision-informed Neural Networks with Large Language Model Integration for Portfolio Optimization," Papers 2502.00828, arXiv.org.
• Kim, Soonho & Song, Xingyi & Park, Boyeong & Ko, Daeun & Liu, Yanyan, 2024. "Real-time media analysis using large language model (LLM) for the top 5 prioritized pests and diseases," CGIAR Initative Publications 172706, International Food Policy Research Institute (IFPRI).
• Matthew Caron & Oliver Müller & Johannes Kriebel, 2025. "Detecting and Mitigating Shortcut Learning Bias in Machine Learning: A Pathway to More Generalizable ML-based (IS) Research," Working Papers Dissertations 129, Paderborn University, Faculty of Business Administration and Economics.
• Chowdhury, Koushik, 2023. "Towards a Deep Learning approach to regularise discourse of collaborative learner," Thesis Commons hjk4b_v1, Center for Open Science.
• Robin Jarry & Marc Chaumont & Laure Berti-Equille & Gérard Subsol, 2024. "Predicting Socio-economic Indicator Variations with Satellite Image Time Series and Transformer," Post-Print lirmm-04895134, HAL.
• Pilar García & Diego Torres, 2025. "Perceiving central bank communications through press coverage," Working Papers 2505, Banco de España.
• de Avila, Rogerio, 2024. "Utilizing Big Administrative Data in Evaluation Research: Integrating Causal Modeling, Program Theory, and Machine Learning," Thesis Commons z7der_v1, Center for Open Science.
• Di Zhang, 2025. "Efficient Triangular Arbitrage Detection via Graph Neural Networks," Papers 2502.03194, arXiv.org.
• Felix Drinkall & Janet B. Pierrehumbert & Stefan Zohren, 2025. "When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks," Papers 2502.02199, arXiv.org.
• Joshua Rosaler & Luca Candelori & Vahagn Kirakosyan & Kharen Musaelian & Ryan Samson & Martin T. Wells & Dhagash Mehta & Stefano Pasquali, 2025. "Supervised Similarity for High-Yield Corporate Bonds with Quantum Cognition Machine Learning," Papers 2502.01495, arXiv.org.
• Item repec:osf:africa:pfrhx_v1 is not listed on IDEAS anymore

• Item repec:spa:wpaper:2025wpecon3 is not listed on IDEAS anymore

• Lionel Fontagné & Francesca Micocci & Armando Rungi, 2025. "The heterogeneous impact of the EU-Canada agreement with causal machine learning," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-04913313, HAL.
• Pataranutaporn, Pat & Powdthavee, Nattavudh & Maes, Pattie, 2025. "Can AI Solve the Peer Review Crisis? A Large-Scale Experiment on LLM's Performance and Biases in Evaluating Economics Papers," IZA Discussion Papers 17659, Institute of Labor Economics (IZA).
• George Fatouros & Kostas Metaxas & John Soldatos & Manos Karathanassis, 2025. "MarketSenseAI 2.0: Enhancing Stock Analysis through LLM Agents," Papers 2502.00415, arXiv.org.
• Iuliia Alekseenko & Dmitry Dagaev & Sofia Paklina & Petr Parshakov, 2025. "Strategizing with AI: Insights from a Beauty Contest Experiment," Papers 2502.03158, arXiv.org, revised Apr 2025.
• Daniil Karzanov & Rub'en Garz'on & Mikhail Terekhov & Caglar Gulcehre & Thomas Raffinot & Marcin Detyniecki, 2025. "Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards," Papers 2502.02619, arXiv.org.
• Victor Chernozhukov & Mert Demirer & Esther Duflo & Iv'an Fern'andez-Val, 2025. "Comment on "Sequential validation of treatment heterogeneity" and "Comment on generic machine learning inference on heterogeneous treatment effects in randomized experiments"," Papers 2502.01548, arXiv.org, revised Feb 2025.
• Thierry Mayer & Hillel Rapoport & Camilo Umana-Dajud, 2024. "Free Trade Agreements and the movement of business people," PSE Working Papers halshs-04721181, HAL.