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The advent of large language models has ushered in a new era of agentic systems, where artificial intelligence programs exhibit remarkable autonomous decision-making capabilities across diverse domains.
Retrieval-augmented generation for knowledge-intensive nlp tasks
P. Lewis, E. Perez, A. Piktus, F. Petroni, V. Karpukhin, N. Goyal, H. Küttler, M. Lewis, W.-t. Yih, T. Rocktäschel, et al · 2020
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Persistent anti-muslim bias in large language models
A. Abid, M. Farooqi, and J. Zou · 2021
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Chain-of-thought prompting elicits reasoning in large language models
J. Wei, X. Wang, D. Schuurmans, M. Bosma, F. Xia, E. Chi, Q. V. Le, D. Zhou, et al · 2022
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Taxonomy of risks posed by language models
L. Weidinger, J. Uesato, M. Rauh, C. Griffin, P.-S. Huang, J. Mellor, A. Glaese, M. Cheng, B. Balle, A. Kasirzadeh, et al · 2022
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React: Synergizing reasoning and acting in language models
S. Yao, J. Zhao, D. Yu, N. Du, I. Shafran, K. Narasimhan, and Y. Cao · 2022
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Harms from increasingly agentic algorithmic systems
A. Chan, R. Salganik, A. Markelius, C. Pang, N. Rajkumar, D. Krasheninnikov, L. Langosco, Z. He, Y. Duan, M. Carroll, et al · 2023
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Chateval: Towards better llm-based evaluators through multi-agent debate
C.-M. Chan, W. Chen, Y. Su, J. Yu, W. Xue, S. Zhang, J. Fu, and Z. Liu · 2023
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Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors in agents
W. Chen, Y. Su, J. Zuo, C. Yang, C. Yuan, C. Qian, C.-M. Chan, Y. Qin, Y. Lu, R. Xie, et al · 2023
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Improving factuality and reasoning in language models through multiagent debate
Y. Du, S. Li, A. Torralba, J. B. Tenenbaum, and I. Mordatch · 2023
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Large language models as simulated economic agents: What can we learn from homo silicus?
J. J. Horton · 2023
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Agentcoder: Multi-agent-based code generation with iterative testing and optimisation
D. Huang, Q. Bu, J. M. Zhang, M. Luck, and H. Cui · 2023
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Cgmi: Configurable general multi-agent interaction framework
S. Jinxin, Z. Jiabao, W. Yilei, W. Xingjiao, L. Jiawen, and H. Liang · 2023
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Camel: Communicative agents for" mind" exploration of large language model society
G. Li, H. Hammoud, H. Itani, D. Khizbullin, and B. Ghanem · 2023
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Y. Li, Y. Yu, H. Li, Z. Chen, and K. Khashanah · 2023
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Encouraging divergent thinking in large language models through multi-agent debate
T. Liang, Z. He, W. Jiao, X. Wang, Y. Wang, R. Wang, Y. Yang, Z. Tu, and S. Shi · 2023
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Scalable extraction of training data from (production) language models
M. Nasr, N. Carlini, J. Hayase, M. Jagielski, A. F. Cooper, D. Ippolito, C. A. Choquette-Choo, E. Wallace, F. Tramèr, and K. Lee · 2023
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Generative agents: Interactive simulacra of human behavior
J. S. Park, J. O’Brien, C. J. Cai, M. R. Morris, P. Liang, and M. S. Bernstein · 2023
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Communicative agents for software development
C. Qian, X. Cong, C. Yang, W. Chen, Y. Su, J. Xu, Z. Liu, and M. Sun · 2023
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Enhancing trust in llm-based ai automation agents: New considerations and future challenges
S. Schwartz, A. Yaeli, and S. Shlomov · 2023
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Role play with large language models
M. Shanahan, K. McDonell, and L. Reynolds · 2023
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Multi-agent collaboration: Harnessing the power of intelligent llm agents
Y. Talebirad and A. Nadiri · 2023
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NVIDIA Generaitve AI Technical Blog: Introduction to LLM Agents
T. Varshney · 2023
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Alpha-gpt: Human-ai interactive alpha mining for quantitative investment
S. Wang, H. Yuan, L. Zhou, L. M. Ni, H.-Y. Shum, and J. Guo · 2023
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Autogen: Enabling next-gen llm applications via multi-agent conversation framework
Q. Wu, G. Bansal, J. Zhang, Y. Wu, S. Zhang, E. Zhu, B. Li, L. Jiang, X. Zhang, and C. Wang · 2023
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Exploring collaboration mechanisms for llm agents: A social psychology view
J. Zhang, X. Xu, and S. Deng · 2023
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Competeai: Understanding the competition behaviors in large language model-based agents
Q. Zhao, J. Wang, Y. Zhang, Y. Jin, K. Zhu, H. Chen, and X. Xie · 2023
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Current state of llm risks and ai guardrails
S. G. Ayyamperumal and L. Ge · 2024
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Artificial intelligence in finance: a comprehensive review through bibliometric and content analysis
S. Bahoo, M. Cucculelli, X. Goga, and J. Mondolo · 2024
Cited alongside, same era.
Graph of thoughts: Solving elaborate problems with large language models
M. Besta, N. Blach, A. Kubicek, R. Gerstenberger, M. Podstawski, L. Gianinazzi, J. Gajda, T. Lehmann, H. Niewiadomski, P. Nyczyk, et al · 2024
Cited alongside, same era.
Agentcourt: Simulating court with adversarial evolvable lawyer agents
G. Chen, L. Fan, Z. Gong, N. Xie, Z. Li, Z. Liu, C. Li, Q. Qu, S. Ni, and M. Yang · 2024
Cited alongside, same era.
Exploring large language model based intelligent agents: Definitions, methods, and prospects
Y. Cheng, C. Zhang, Z. Zhang, X. Meng, S. Hong, W. Li, Z. Wang, Z. Wang, F. Yin, J. Zhao, et al · 2024
Cited alongside, same era.
Multi AI agent systems with crewAI - deeplearning.ai, 2024
CrewAI · 2024
Codepori: Large scale model for autonomous software development by using multi-agents
Z. Rasheed, M. Waseem, M. Saari, K. Systä, and P. Abrahamsson · 2024
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Towards ai-safety-by-design: A taxonomy of runtime guardrails in foundation model based systems
M. Shamsujjoha, Q. Lu, D. Zhao, and L. Zhu · 2024
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Reflexion: Language agents with verbal reinforcement learning
N. Shinn, F. Cassano, A. Gopinath, K. Narasimhan, and S. Yao · 2024
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Agentic llm workflows for generating patient-friendly medical reports
M. Sudarshan, S. Shih, E. Yee, A. Yang, J. Zou, C. Chen, Q. Zhou, L. Chen, C. Singhal, and G. Shih · 2024
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Cited alongside, same era.
crewAI: Cutting-edge framework for orchestrating role-playing, autonomous AI agents
crewAIInc · 2024
Cited alongside, same era.
Llm multi-agent systems: Challenges and open problems
S. Han, Q. Zhang, Y. Yao, W. Jin, Z. Xu, and C. He · 2024
Cited alongside, same era.
Llm-based multi-agent systems for software engineering: Vision and the road ahead
J. He, C. Treude, and D. Lo · 2024
Cited alongside, same era.
Trustagent: Towards safe and trustworthy llm-based agents through agent constitution
W. Hua, X. Yang, Z. Li, C. Wei, and Y. Zhang · 2024
Cited alongside, same era.
A multi-agent reinforcement learning framework for optimizing financial trading strategies based on timesnet
Y. Huang, C. Zhou, K. Cui, and X. Lu · 2024
Cited alongside, same era.
Ai-driven digital transformation in banking: A new perspective on operational efficiency and risk management
H. Jingrong, H. Shan, C. Zhaobin, L. Yu, L. Yingying, et al · 2024
Cited alongside, same era.
Credit Card Fraud Detection Dataset
Kaggle · 2024
Cited alongside, same era.
J. Sun, C. Dai, Z. Luo, Y. Chang, and Y. Li · 2024
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Collaborative agents for software engineering
D. Tang, Z. Chen, K. Kim, Y. Song, H. Tian, S. Ezzini, Y. Huang, and J. K. T. F. Bissyande · 2024
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Prioritizing safeguarding over autonomy: Risks of llm agents for science
X. Tang, Q. Jin, K. Zhu, T. Yuan, Y. Zhang, W. Zhou, M. Qu, Y. Zhao, J. Tang, Z. Zhang, et al · 2024
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Towards multi-agent reinforcement learning-driven over-the-counter market simulations
N. Vadori, L. Ardon, S. Ganesh, T. Spooner, S. Amrouni, J. Vann, M. Xu, Z. Zheng, T. Balch, and M. Veloso · 2024
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X. Wan, H. Deng, K. Zou, and S. Xu · 2024
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Beyond direct diagnosis: Llm-based multi-specialist agent consultation for automatic diagnosis
H. Wang, S. Zhao, Z. Qiang, N. Xi, B. Qin, and T. Liu · 2024
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Quantagent: Seeking holy grail in trading by self-improving large language model
S. Wang, H. Yuan, L. M. Ni, and J. Guo · 2024
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Z. Wang, D. J. Kim, and T.-H. Chen · 2024
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M. Wu, Y. Yuan, G. Haffari, and L. Wang · 2024
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Can large language model agents simulate human trust behaviors?
C. Xie, C. Chen, F. Jia, Z. Ye, K. Shu, A. Bibi, Z. Hu, P. Torr, B. Ghanem, and G. Li · 2024
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Designing heterogeneous llm agents for financial sentiment analysis
F. Xing · 2024
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Finmem: A performance-enhanced llm trading agent with layered memory and character design
Y. Yu, H. Li, Z. Chen, Y. Jiang, Y. Li, D. Zhang, R. Liu, J. W. Suchow, and K. Khashanah · 2024
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Y. Yu, Z. Yao, H. Li, Z. Deng, Y. Cao, Z. Chen, J. W. Suchow, R. Liu, Z. Cui, D. Zhang, et al · 2024
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Alpha-gpt 2.0: Human-in-the-loop ai for quantitative investment
H. Yuan, S. Wang, and J. Guo · 2024
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Codes: Natural language to code repository via multi-layer sketch
D. Zan, A. Yu, W. Liu, D. Chen, B. Shen, W. Li, Y. Yao, Y. Gong, X. Chen, B. Guan, et al · 2024
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C. Zhang, X. Liu, M. Jin, Z. Zhang, L. Li, Z. Wang, W. Hua, D. Shu, S. Zhu, X. Jin, et al · 2024
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W. Zhang, L. Zhao, H. Xia, S. Sun, J. Sun, M. Qin, X. Li, Y. Zhao, Y. Zhao, X. Cai, et al · 2024
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Autocoderover: Autonomous program improvement
Y. Zhang, H. Ruan, Z. Fan, and A. Roychoudhury · 2024
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Revolutionizing finance with llms: An overview of applications and insights
H. Zhao, Z. Liu, Z. Wu, Y. Li, T. Yang, P. Shu, S. Xu, H. Dai, L. Zhao, G. Mai, et al · 2024
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Credit Card Approval Prediction (Cleaned Version)
M. Caesar · 2025
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Credit Fraud, Dealing with Imbalanced Datasets
Kaggle · 2025
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Credit Risk Prediction Training and EDA
Kaggle · 2025
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