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Report NEP-BIG-2026-02-09
This is the archive for NEP-BIG, a report on new working papers in the area of Big Data. Tom Coupé (Tom Coupe) issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-BIG
The following items were announced in this report:
- Wayne Gao & Sukjin Han & Annie Liang, 2026, "How Well Do LLMs Predict Human Behavior? A Measure of their Pretrained Knowledge," Papers, arXiv.org, number 2601.12343, Jan.
- Leland D. Crane & Xiaoyu Ge & Flora Haberkorn & Rithika Iyengar & Seung Jung Lee & Viviana Luccioli & Ryan Panley & Nitish R. Sinha, 2025, "LLM on a Budget: Active Knowledge Distillation for Efficient Classification of Large Text Corpora," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2025-108, Dec, DOI: 10.17016/FEDS.2025.108.
- Shengwu Du & Flora Haberkorn & Isabel Kitschelt & Seung Jung Lee & Anderson Monken & Dylan Saez & Kelsey Shipman & Sandeep Thakur, 2026, "Do Anecdotes Matter? Exploring the Beige Book through Textual Analysis from 1970 to 2025," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2026-004, Jan, DOI: 10.17016/FEDS.2026.004.
- Paker, Meredith & Stephenson, Judy & Wallis, Patrick, 2025, "Predictive modeling the past," Economic History Working Papers, London School of Economics and Political Science, Department of Economic History, number 128852, Jun.
- Pietro Bini & Lin William Cong & Xing Huang & Lawrence J. Jin, 2026, "Behavioral Economics of AI: LLM Biases and Corrections," NBER Working Papers, National Bureau of Economic Research, Inc, number 34745, Jan.
- J. Ignacio Conde-Ruiz & Miguel Díaz Salazar & Juan José Ganuza, 2026, "Designing gender-balanced evaluation committees with AI," Economics Working Papers, Department of Economics and Business, Universitat Pompeu Fabra, number 1937, Jan.