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Report NEP-AIN-2025-10-13
This is the archive for NEP-AIN, a report on new working papers in the area of Artificial Intelligence. Ben Greiner issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-AIN
The following items were announced in this report:
- Dragan Filimonovic & Christian Rutzer & Conny Wunsch, 2025, "Can GenAI Improve Academic Performance? Evidence from the Social and Behavioral Sciences," Papers, arXiv.org, number 2510.02408, Oct.
- Joseph E. Stiglitz & Maxim Ventura-Bolet, 2025, "The Impact of AI and Digital Platforms on the Information Ecosystem," NBER Working Papers, National Bureau of Economic Research, Inc, number 34318, Oct.
- Ajay K. Agrawal & Joshua S. Gans & Avi Goldfarb, 2025, "Genius on Demand: The Value of Transformative Artificial Intelligence," NBER Working Papers, National Bureau of Economic Research, Inc, number 34316, Oct.
- Yu Liu & Wenwen Li & Yifan Dou & Guangnan Ye, 2025, "When Machines Meet Each Other: Network Effects and the Strategic Role of History in Multi-Agent AI," Papers, arXiv.org, number 2510.06903, Oct.
- Ziv Ben-Zion & Zohar Elyoseph & Tobias Spiller & Teddy Lazebnik, 2025, "Inducing State Anxiety in LLM Agents Reproduces Human-Like Biases in Consumer Decision-Making," Papers, arXiv.org, number 2510.06222, Aug.
- Antonios Stamatogiannakis & Arsham Ghodsinia & Sepehr Etminanrad & Dilney Gonc{c}alves & David Santos, 2025, "How human is the machine? Evidence from 66,000 Conversations with Large Language Models," Papers, arXiv.org, number 2510.07321, Aug.
- Shota Ichihashi, 2025, "Platform-Enabled Algorithmic Pricing," Working Papers, NET Institute, number 25-03, Sep.
- R. Maria del Rio-Chanona & Ekkehard Ernst & Rossana Merola & Daniel Samaan & Ole Teutloff, 2025, "AI and jobs. A review of theory, estimates, and evidence," Papers, arXiv.org, number 2509.15265, Sep.
- Bertie Vidgen & Abby Fennelly & Evan Pinnix & Julien Benchek & Daniyal Khan & Zach Richards & Austin Bridges & Calix Huang & Kanishka Sahu & Abhishek Kottamasu & Bo Ma & Ben Hunsberger & Isaac Robinso, 2025, "The AI Productivity Index (APEX)," Papers, arXiv.org, number 2509.25721, Sep, revised Dec 2025.
- Diane Coyle & John Lourenze S. Poquiz, 2025, "Making AI Count: The Next Measurement Frontier," NBER Working Papers, National Bureau of Economic Research, Inc, number 34330, Oct.
- Arenas Díaz, Guillermo & Piva, Mariacristina & Vivarelli, Marco, 2025, "Artificial intelligence as a complement to other innovation activities and as a method of invention," MERIT Working Papers, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT), number 2025-022, Oct, DOI: 10.53330/AEJJ9309.
- Byeungchun Kwon & Taejin Park & Phurichai Rungcharoenkitkul & Frank Smets, 2025, "Parsing the pulse: decomposing macroeconomic sentiment with LLMs," BIS Working Papers, Bank for International Settlements, number 1294, Oct.
- Anne Lundgaard Hansen & Seung Jung Lee, 2025, "Financial Stability Implications of Generative AI: Taming the Animal Spirits," Papers, arXiv.org, number 2510.01451, Oct.
- Luis Enriquez Alvarez, 2025, "An Artificial Intelligence Value at Risk Approach: Metrics and Models," Papers, arXiv.org, number 2509.18394, Sep.
- Fabrizio Dimino & Abhinav Arun & Bhaskarjit Sarmah & Stefano Pasquali, 2025, "FinReflectKG -- EvalBench: Benchmarking Financial KG with Multi-Dimensional Evaluation," Papers, arXiv.org, number 2510.05710, Oct, revised Mar 2026.
- Fabrizio Dimino & Krati Saxena & Bhaskarjit Sarmah & Stefano Pasquali, 2025, "Uncovering Representation Bias for Investment Decisions in Open-Source Large Language Models," Papers, arXiv.org, number 2510.05702, Oct, revised Nov 2025.
- Kurter, Zeynep O. & Bhatti, Balaaj, 2025, "The Effect of AI Investment Announcements on Adopting Companies Abnormal Returns : A Critical Analysis of the UK Market," The Warwick Economics Research Paper Series (TWERPS), University of Warwick, Department of Economics, number 1581.
- Lokesh Antony Kadiyala & Amir Mirzaeinia, 2025, "Mamba Outpaces Reformer in Stock Prediction with Sentiments from Top Ten LLMs," Papers, arXiv.org, number 2510.01203, Sep.
- Xinrui Ruan & Xinwei Ma & Yingfei Wang & Waverly Wei & Jingshen Wang, 2025, "Can language models boost the power of randomized experiments without statistical bias?," Papers, arXiv.org, number 2510.05545, Oct, revised Dec 2025.