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Report NEP-AIN-2024-01-15
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:
- George Gui & Olivier Toubia, 2023, "The Challenge of Using LLMs to Simulate Human Behavior: A Causal Inference Perspective," Papers, arXiv.org, number 2312.15524, Dec, revised Nov 2025.
- Yan Leng & Yuan Yuan, 2023, "Do LLM Agents Exhibit Social Behavior?," Papers, arXiv.org, number 2312.15198, Dec, revised Oct 2024.
- Frédéric Marty & Thierry Warin, 2023, "Deciphering Algorithmic Collusion: Insights from Bandit Algorithms and Implications for Antitrust Enforcement," CIRANO Working Papers, CIRANO, number 2023s-26, Dec.
- Anil R. Doshi & Oliver P. Hauser, 2023, "Generative artificial intelligence enhances creativity but reduces the diversity of novel content," Papers, arXiv.org, number 2312.00506, Dec, revised Mar 2024.
- Otis, Nicholas G. & Clarke, Rowan Philip & Delecourt, Solene & Holtz, David & Koning, Rembrand, 2023, "The Uneven Impact of Generative AI on Entrepreneurial Performance," OSF Preprints, Center for Open Science, number hdjpk, Dec, DOI: 10.31219/osf.io/hdjpk.
- HRADEC Jiri & OSTLAENDER Nicole & BERNINI Alba, 2023, "FABLES: Framework for Autonomous Behaviour-rich Language-driven Emotion-enabled Synthetic populations," JRC Research Reports, Joint Research Centre, number JRC135070, Oct.
- von der Heyde, Leah & Haensch, Anna-Carolina & Wenz, Alexander, 2023, "Vox Populi, Vox AI? Using Language Models to Estimate German Public Opinion," SocArXiv, Center for Open Science, number 8je9g, Dec, DOI: 10.31219/osf.io/8je9g.
- Chang, Ho-Chun Herbert & Wang, Austin Horng-En & Fang, Yu Sunny, 2023, "US-Skepticism: Misinformation and Transnational Conspiracy in the 2024 Taiwanese Presidential Elections," OSF Preprints, Center for Open Science, number uefgw, Dec, DOI: 10.31219/osf.io/uefgw.
- Arisa Ema & Ryo Sato & Tomoharu Hase & Masafumi Nakano & Shinji Kamimura & Hiromu Kitamura, 2023, "Advancing AI Audits for Enhanced AI Governance," Papers, arXiv.org, number 2312.00044, Nov.
- Saeri, Alexander K & O'Connor, Ruby, 2023, "Applying AI to Sustainability Policy Challenges: A Practical Playbook," OSF Preprints, Center for Open Science, number y75rq, Dec, DOI: 10.31219/osf.io/y75rq.
- TANGI Luca & COMBETTO Marco & MARTIN BOSCH Jaume & RODRIGUEZ MÜLLER Paula, 2023, "Artificial Intelligence for Interoperability in the European Public Sector," JRC Research Reports, Joint Research Centre, number JRC134713, Oct.
- Dandan Qiao & Huaxia Rui & Qian Xiong, 2023, "AI and Jobs: Has the Inflection Point Arrived? Evidence from an Online Labor Platform," Papers, arXiv.org, number 2312.04180, Dec, revised Dec 2025.
- Stefano Bianchini & Moritz Muller & Pierre Pelletier, 2023, "Drivers and Barriers of AI Adoption and Use in Scientific Research," Papers, arXiv.org, number 2312.09843, Dec, revised Feb 2024.
- Jingwei Ni & Julia Bingler & Chiara Colesanti Senni & Mathias Kraus & Glen Gostlow & Tobias Schimanski & Dominik Stammbach & Saeid Vaghefi & Qian Wang & Nicolas Webersinke & Tobias Wekhof & Tingyu Yu , 2023, "chatReport: Democratizing Sustainability Disclosure Analysis through LLM-based Tools," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 23-111, Nov.
- Maochun Xu & Zixun Lan & Zheng Tao & Jiawei Du & Zongao Ye, 2023, "Deep Reinforcement Learning for Quantitative Trading," Papers, arXiv.org, number 2312.15730, Dec.