Printed from https://ideas.repec.org/n/nep-ain/2025-08-18.html
Report NEP-AIN-2025-08-18
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:
- Joshua S. Gans, 2025, "Can Author Manipulation of AI Referees be Welfare Improving?," NBER Working Papers, National Bureau of Economic Research, Inc, number 34082, Jul.
- Md Mahadi Hasan, 2025, "AI Agents and the Attention Lemons Problem in Two-Sided Ad Markets," Papers, arXiv.org, number 2507.22435, Jul, revised Jul 2025.
- Zach Y. Brown & Alexander MacKay, 2025, "Algorithmic Coercion with Faster Pricing," NBER Working Papers, National Bureau of Economic Research, Inc, number 34070, Jul.
- Amine Allouah & Omar Besbes & Josu'e D Figueroa & Yash Kanoria & Akshit Kumar, 2025, "What Is Your AI Agent Buying? Evaluation, Biases, Model Dependence, & Emerging Implications for Agentic E-Commerce," Papers, arXiv.org, number 2508.02630, Aug, revised Dec 2025.
- Jacob Dominski & Yong Suk Lee, 2025, "Advancing AI Capabilities and Evolving Labor Outcomes," Papers, arXiv.org, number 2507.08244, Jul.
- Golo Henseke & Rhys Davies & Alan Felstead & Duncan Gallie & Francis Green & Ying Zhou, 2025, "How Exposed Are UK Jobs to Generative AI? Developing and Applying a Novel Task-Based Index," Papers, arXiv.org, number 2507.22748, Jul, revised Apr 2026.
- Parker Whitfill & Cheryl Wu, 2025, "Will Compute Bottlenecks Prevent an Intelligence Explosion?," Papers, arXiv.org, number 2507.23181, Jul, revised Aug 2025.
- Alejandra Castaneda & Matthew Bone & Fabian Stephany, 2025, "Beyond pay: AI skills reward more job benefits," Papers, arXiv.org, number 2507.20410, Jul, revised Feb 2026.
- Yingnan Yan & Tianming Liu & Yafeng Yin, 2025, "Valuing Time in Silicon: Can Large Language Models Replicate Human Value of Travel Time," Papers, arXiv.org, number 2507.22244, Jul, revised Dec 2025.
- Johannes Kruse, 2025, "The ordinary meaning bot: Simulating human surveys with LLMs," Discussion Paper Series of the Max Planck Institute for Behavioral Economics, Max Planck Institute for Behavioral Economics, number 2025_12, Aug.
- Christoph Engel & Yoan Hermstrüwer & Alison Kim, 2025, "Human Realignment: An Empirical Study of LLMs as Legal Decision-Aids in Moral Dilemmas," Discussion Paper Series of the Max Planck Institute for Behavioral Economics, Max Planck Institute for Behavioral Economics, number 2025_03, Apr.
- Georges Sfeir & Gabriel Nova & Stephane Hess & Sander van Cranenburgh, 2025, "Can large language models assist choice modelling? Insights into prompting strategies and current models capabilities," Papers, arXiv.org, number 2507.21790, Jul, revised Mar 2026.
- Mori, Misato, 2025, "How AI Detects Financial Fraud: A Review of Emerging Deep Learning Methods," OSF Preprints, Center for Open Science, number 5yjm4_v1, Jul, DOI: 10.31219/osf.io/5yjm4_v1.
- Ozili, Peterson K & Obiora, Kingsley I & Onuzo, Chinwendu, 2025, "Financial inclusion and large language models," MPRA Paper, University Library of Munich, Germany, number 125562.
- Md Talha Mohsin, 2025, "Evaluating Large Language Models (LLMs) in Financial NLP: A Comparative Study on Financial Report Analysis," Papers, arXiv.org, number 2507.22936, Jul, revised Jan 2026.
- Hoyoung Lee & Junhyuk Seo & Suhwan Park & Junhyeong Lee & Wonbin Ahn & Chanyeol Choi & Alejandro Lopez-Lira & Yongjae Lee, 2025, "Your AI, Not Your View: The Bias of LLMs in Investment Analysis," Papers, arXiv.org, number 2507.20957, Jul, revised Oct 2025.
- Aaron Green & Zihan Nie & Hanzhen Qin & Oshani Seneviratne & Kristin P. Bennett, 2025, "FinSurvival: A Suite of Large Scale Survival Modeling Tasks from Finance," Papers, arXiv.org, number 2507.14160, Jul.
- Baptiste Lefort & Eric Benhamou & Beatrice Guez & Jean-Jacques Ohana & Ethan Setrouk & Alban Etienne, 2025, "FinMarBa: A Market-Informed Dataset for Financial Sentiment Classification," Papers, arXiv.org, number 2507.22932, Jul.
- Winston Wei Dou & Itay Goldstein & Yan Ji, 2025, "AI-Powered Trading, Algorithmic Collusion, and Price Efficiency," NBER Working Papers, National Bureau of Economic Research, Inc, number 34054, Jul.
- Wei Lu & Amit Dhanda & Daniel L. Chen & Christian B. Hansen, 2025, "Aligning Large Language Model Agents with Rational and Moral Preferences: A Supervised Fine-Tuning Approach," Papers, arXiv.org, number 2507.20796, Jul, revised Mar 2026.
- Nicholas Botti & Flora Haberkorn & Charlotte Hoopes & Shaun Khan, 2025, "Efficacy of AI RAG Tools for Complex Information Extraction and Data Annotation Tasks: A Case Study Using Banks Public Disclosures," Papers, arXiv.org, number 2507.21360, Jul.
- Rachel Cho & Christoph Görtz & Danny McGowan & Max Schröder, 2025, "Defining Current and Expected Financial Constraints Using AI: Reinterpreting the Cash Flow Sensitivity of Cash," CESifo Working Paper Series, CESifo, number 12054.
- Coppola, Antonio & Clayton, Christopher, 2025, "Financial Regulation and AI: A Faustian Bargain?," SocArXiv, Center for Open Science, number xwsje_v1, Jul, DOI: 10.31219/osf.io/xwsje_v1.
- Li Zhao & Rui Sun & Zuoyou Jiang & Bo Yang & Yuxiao Bai & Mengting Chen & Xinyang Wang & Jing Li & Zuo Bai, 2025, "ContestTrade: A Multi-Agent Trading System Based on Internal Contest Mechanism," Papers, arXiv.org, number 2508.00554, Aug, revised Aug 2025.