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In an era where single large language models have dominated the landscape of artificial intelligence for years, multi-agent systems arise as new protagonists in conversational task-solving.
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MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering
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Yuyan Chen, Qiang Fu, Yichen Yuan, Zhihao Wen, Ge Fan, Dayiheng Liu, Dongmei Zhang, Zhixu Li, and Yanghua Xiao. 2023 · 2023
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Improving Factuality and Reasoning in Language Models through Multiagent Debate
Yilun Du, Shuang Li, Antonio Torralba, Joshua B. Tenenbaum, and Igor Mordatch. 2023 · 2023
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Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback
Yao Fu, Hao Peng, Tushar Khot, and Mirella Lapata. 2023 · 2023
Cited alongside, same era.
A Confederacy of Models: a Comprehensive Evaluation of LLMs on Creative Writing
Carlos Gómez-Rodríguez and Paul Williams. 2023 · 2023
Cited alongside, same era.
Survey of Hallucination in Natural Language Generation
Ziwei Ji, Nayeon Lee, Rita Frieske, Tiezheng Yu, Dan Su, Yan Xu, Etsuko Ishii, Ye Jin Bang, Andrea Madotto, and Pascale Fung. 2023 · 2023
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Evaluating Open-Domain Question Answering in the Era of Large Language Models
Ehsan Kamalloo, Nouha Dziri, Charles L. A. Clarke, and Davood Rafiei. 2023 · 2023
Cited alongside, same era.
LLMs can Spontaneously start Jailbreaking their Scoring Function
Alexander Meinke. 2023 · 2023
Cited alongside, same era.
Assessing Risks of Using Autonomous Language Models in Military and Diplomatic Planning
Gabriel Mukobi, Ann-Katrin Reuel, Juan-Pablo Rivera, and Chandler Smith. 2023 · 2023
Cited alongside, same era.
Are you still on track!? Catching LLM Task Drift with Activations
Sahar Abdelnabi, Aideen Fay, Giovanni Cherubin, Ahmed Salem, Mario Fritz, and Andrew Paverd. 2024 · 2024
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Text Generation: A Systematic Literature Review of Tasks, Evaluation, and Challenges
Jonas Becker, Jan Philip Wahle, Bela Gipp, and Terry Ruas. 2024 · 2024
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AgentScope: A Flexible yet Robust Multi-Agent Platform
Dawei Gao, Zitao Li, Xuchen Pan, Weirui Kuang, Zhijian Ma, Bingchen Qian, Fei Wei, Wenhao Zhang, Yuexiang Xie, Daoyuan Chen, et al · 2024
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Large Language Model based Multi-Agents: A Survey of Progress and Challenges
Taicheng Guo, Xiuying Chen, Yaqi Wang, Ruidi Chang, Shichao Pei, Nitesh V. Chawla, Olaf Wiest, and Xiangliang Zhang. 2024 · 2024
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Data Interpreter: An LLM Agent For Data Science
Sirui Hong, Yizhang Lin, Bang Liu, Bangbang Liu, Binhao Wu, Danyang Li, Jiaqi Chen, Jiayi Zhang, Jinlin Wang, Li Zhang, et al · 2024
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TrustAgent: Towards Safe and Trustworthy LLM-based Agents through Agent Constitution
Wenyue Hua, Xianjun Yang, Mingyu Jin, Wei Cheng, Ruixiang Tang, and Yongfeng Zhang. 2024 · 2024
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A Survey on Large Language Models for Code Generation
Juyong Jiang, Fan Wang, Jiasi Shen, Sungju Kim, and Sunghun Kim. 2024 · 2024
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Quantifying Misalignment Between Agents: Towards a Sociotechnical Understanding of Alignment
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Tree Search for Language Model Agents
Jing Yu Koh, Stephen McAleer, Daniel Fried, and Ruslan Salakhutdinov. 2024 · 2024
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Long-context LLMs Struggle with Long In-context Learning
Tianle Li, Ge Zhang, Quy Duc Do, Xiang Yue, and Wenhu Chen. 2024 · 2024
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Large Language Models: A Survey
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GPT-4 Technical Report
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Rethinking Interpretability in the Era of Large Language Models
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Gemini: A Family of Highly Capable Multimodal Models
Gemini Team, Rohan Anil, Sebastian Borgeaud, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M. Dai, Anja Hauth, Katie Millican, et al · 2024
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Unveiling the Generalization Power of Fine-Tuned Large Language Models. In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) , Kevin Duh, Helena Gomez, and Steven Bethard (Eds.). Association for Computational Linguistics, Mexico City, Mexico, 884–899
Haoran Yang, Yumeng Zhang, Jiaqi Xu, Hongyuan Lu, Pheng-Ann Heng, and Wai Lam. 2024b · 2024
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Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
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