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Large Language Model (LLM)-based multi-agent systems show promise for automating real-world tasks but struggle to transfer across domains due to their domain-specific nature.
Compositional semantic parsing on semi-structured tables
Panupong Pasupat and Percy Liang · 2015
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Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W Cohen, Ruslan Salakhutdinov, and Christopher D Manning · 2018
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Guohao Li, Hasan Hammoud, Hani Itani, Dmitrii Khizbullin, and Bernard Ghanem · 2023
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Rafael Rafailov, Archit Sharma, Eric Mitchell, Christopher D Manning, Stefano Ermon, and Chelsea Finn · 2023
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Agenttuning: Enabling generalized agent abilities for llms
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Tapeagents: a holistic framework for agent development and optimization
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Large language model based multi-agents: A survey of progress and challenges
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Why Do Multiagent Systems Fail?
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Hyperagent: Generalist software engineering agents to solve coding tasks at scale
Huy Nhat Phan, Tien N Nguyen, Phong X Nguyen, and Nghi DQ Bui · 2024
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WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning
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