Fetching the paper…
Reading the bibliography…
This paper introduces a methodology based on agentic workflows for economic research that leverages Large Language Models (LLMs) and multimodal AI to enhance research efficiency and reproducibility.
International standard classification of education: Fields of education and training 2013 (isced-f 2013)-detailed field descriptions
UNESCO (2015) · 2013
Earlier work this paper cites.
Methods of ai for multimodal sensing and action for complex situations
Blasch, E., Cruise, R., Aved, A., Majumder, U., and Rovito, T. (2019) · 2019
Earlier work this paper cites.
Prompt-to-prompt image editing with cross attention control
Hertz, A., Mokady, R., Tenenbaum, J., Aberman, K., Pritch, Y., and Cohen-Or, D. (2022) · 2022
Earlier work this paper cites.
Playing repeated games with large language models
Akata, E., Schulz, L., Coda-Forno, J., Oh, S. J., Bethge, M., and Schulz, E. (2023) · 2023
Earlier work this paper cites.
Loquacity and visible emotion: Chatgpt as a policy advisor
Biancotti, C. and Camassa, C. (2023) · 2023
Earlier work this paper cites.
How to learn and teach economics with large language models, including gpt
Cowen, T. and Tabarrok, A. T. (2023) · 2023
Earlier work this paper cites.
Navigating the jagged technological frontier: Field experimental evidence of the effects of ai on knowledge worker productivity and quality
Dell’Acqua, F., III, E. M., Mollick, E., Lifshitz-Assaf, H., Kellogg, K. C., Rajendran, S., Krayer, L., Candelon, F., and Lakhani, K. R. (2023) · 2023
Earlier work this paper cites.
Chatgpt for (finance) research: The bananarama conjecture
Dowling, M. and Lucey, B. (2023) · 2023
Earlier work this paper cites.
Large language models as simulated economic agents: What can we learn from homo silicus?
Horton, J. J. (2023) · 2023
Earlier work this paper cites.
Generative ai for economic research: Use cases and implications for economists
Korinek, A. (2023) · 2023
Earlier work this paper cites.
Initial policy considerations for generative artificial intelligence
Lorenz, P., Perset, K., and Berryhill, J. (2023) · 2023
Earlier work this paper cites.
4m: Massively multimodal masked modeling
Mizrahi, D., Bachmann, R., Kar, O. F., Yeo, T., Gao, M., Dehghan, A., and Zamir, A. (2023) · 2023
Earlier work this paper cites.
Experimental evidence on the productivity effects of generative artificial intelligence
Noy, S. and Zhang, W. (2023) · 2023
Earlier work this paper cites.
The impact of ai on developer productivity: Evidence from github copilot
Peng, S., Kalliamvakou, E., Cihon, P., and Demirer, M. (2023) · 2023
Earlier work this paper cites.
Chatgpt and academic research: A review and recommendations based on practical examples
Rahman, M., Terano, H. J. R., Rahman, N., Salamzadeh, A., and Rahaman, S. (2023) · 2023
Earlier work this paper cites.
The potential of llms for coding with low-resource and domain-specific programming languages
Tarassow, A. (2023) · 2023
Earlier work this paper cites.
The wall street neophyte: A zero-shot analysis of chatgpt over multimodal stock movement prediction challenges
Xie, Q., Han, W., Lai, Y., Peng, M., and Huang, J. (2023) · 2023
Earlier work this paper cites.
Temporal data meets llm - explainable financial time series forecasting
Yu, X., Chen, Z., Ling, Y., Dong, S., Liu, Z., and Lu, Y. (2023) · 2023
Earlier work this paper cites.
Enhancing inflation nowcasting with llm: Sentiment analysis on news
Allard, M.-A., Teiletche, P., and Zinebi, A. (2024) · 2024
Earlier work this paper cites.
Evidence-based policy or beauty contest? an llm-based meta-analysis of eu cohesion policy evaluations
Asatryan, Z., Birkholz, C., and Heinemann, F. (2024) · 2024
Earlier work this paper cites.
Can generative ai improve social science?
Bail, C. A. (2024) · 2024
Cited alongside, same era.
Corporate green pledges
Bauer, M. D., Huber, D., Offner, E., Renkel, M., and Wilms, O. (2024) · 2024
Cited alongside, same era.
Using llms for market research
Brand, J., Israeli, A., and Ngwe, D. (2024) · 2024
Cited alongside, same era.
Playing games with gpt: What can we learn about a large language model from canonical strategic games?
Brookins, P. and DeBacker, J. (2024) · 2024
Cited alongside, same era.
Generative ai at work
Brynjolfsson, E., Li, D., and Raymond, L. (2024) · 2024
Cited alongside, same era.
Recovering overlooked information in categorical variables with llms: An application to labor market mismatch
Chen, Y., Fang, H., Zhao, Y., Zhao, Z., and Road, M. H. (2024) · 2024
Cited alongside, same era.
Productivity performance, distance to frontier and ai innovation: Firm-level evidence from europe
Marioni, L. D. S., Rincon-Aznar, A., and Venturini, F. (2024) · 2024
Later among the works it cites.
How ethical should ai be? how ai alignment shapes the risk preferences of llms
Ouyang, S., Yun, H., and Zheng, X. (2024) · 2024
Later among the works it cites.
Enhancing anomaly detection in financial markets with an llm-based multi-agent framework
Park, T. (2024) · 2024
Later among the works it cites.
Equilibrium analysis of ai investment in financial markets under uncertainty
Penmetsa, S. V. (2024) · 2024
Later among the works it cites.
Multimodal explainable artificial intelligence: A comprehensive review of methodological advances and future research directions
Rodis, N., Sardianos, C., Radoglou-Grammatikis, P., Sarigiannidis, P., Varlamis, I., and Papadopoulos, G. T. (2024) · 2024
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Generative ai enhances individual creativity but reduces the collective diversity of novel content
Doshi, A. R. and Hauser, O. P. (2024) · 2024
Cited alongside, same era.
Agent ai: Surveying the horizons of multimodal interaction
Durante, Z., Huang, Q., Wake, N., Gong, R., Park, J. S., Sarkar, B., Taori, R., Noda, Y., Terzopoulos, D., Choi, Y., Ikeuchi, K., Vo, H., Fei-Fei, L., and Gao, J. (2024) · 2024
Cited alongside, same era.
Gpts are gpts: Labor market impact potential of llms
Eloundou, T., Manning, S., Mishkin, P., and Rock, D. (2024) · 2024
Cited alongside, same era.
Generative ai and labour productivity: a field experiment on coding
Gambacorta, L., Qiu, H., Shan, S., and Rees, D. M. (2024) · 2024
Cited alongside, same era.
Frontiers of large language model-based agentic systems - construction, efficacy and safety
He, J., Ghosh, R., Walia, K., Chen, J., Dhadiwal, T., Hazel, A., and Inguva, C. (2024) · 2024
Cited alongside, same era.
Finllama: Financial sentiment classification for algorithmic trading
Iacovides, G., Konstantinidis, T., Xu, M., and Mandic, D. (2024) · 2024
Cited alongside, same era.
Llm economicus? mapping the behavioral biases of llms via utility theory
Ross, J., Kim, Y., and Lo, A. W. (2024) · 2024
Later among the works it cites.
Minifed: Integrating llm-based agentic-workflow for simulating fomc meeting
Seok, S., Wen, S., Yang, Q., Feng, J., and Yang, W. (2024) · 2024
Later among the works it cites.
Autoregressive model beats diffusion: Llama for scalable image generation
Sun, P., Jiang, Y., Chen, S., Zhang, S., Peng, B., Luo, P., and Yuan, Z. (2024) · 2024
Later among the works it cites.
Mcp-solver: Integrating language models with constraint programming systems
Szeider, S. (2024) · 2024
Later among the works it cites.
Theorizing with large language models
Tranchero, M., Brenninkmeijer, C.-F., Murugan, A., and Nagaraj, A. (2024) · 2024
Later among the works it cites.
Competeai: Understanding the competition dynamics of large language model-based agents
Zhao, Q., Wang, J., Zhang, Y., Jin, Y., Zhu, K., Chen, H., and Xie, X. (2024) · 2024
Later among the works it cites.
New paradigm for economic and financial research with generative ai: Impact and perspective
Zheng, X., Li, J., Lu, M., and Wang, F.-Y. (2024) · 2024
Later among the works it cites.
Presidential address: The economist as designer in the innovation process for socially impactful digital products
Athey, S. (2025) · 2025
Closest in time.
Agentic workflows for conversational human-ai interaction design
Caetano, A., Verma, K., Taheri, A., Kumaran, R., Chen, Z., Chen, J., Höllerer, T., and Sra, M. (2025) · 2025
Closest in time.
A quest for knowledge
Carnehl, C. and Schneider, J. (2025) · 2025
Closest in time.
A quest for ai knowledge
Gans, J. S. (2025) · 2025
Closest in time.
Human intelligence versus artificial intelligence in classifying economics research articles: exploratory evidence
Heikkilä, J. T. (2025) · 2025
Closest in time.
Large language models: An applied econometric framework
Ludwig, J., Mullainathan, S., and Rambachan, A. (2025) · 2025
Closest in time.
Artificial intelligence agentic auditing
Schreyer, M., Gu, H., Moffitt, K., and Vasarhelyi, M. A. (2025) · 2025
Closest in time.
Economic rationality under specialization: Evidence of decision bias in ai agents
Wen, S. and Feng, J. (2025) · 2025
Closest in time.