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https://arxiv.org/abs/2402.05863 How Well Can LLMs Negotiate? NegotiationArena Platform and AnalysisNegotiation is the basis of social interactions; humans negotiate everything from the price of cars to how to share common resources. With rapidly growing interest in using large language models (LLMs) to act as agents on behalf of human users, such LLM agarxiv.org 음 이 논문은 그래도 LLM까지는 갔지만 LLM을 학습하거..

https://arxiv.org/abs/2208.07004?utm_source=chatgpt.com AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-NComprehensive global cooperation is essential to limit global temperature increases while continuing economic development, e.g., reducing severe inequality or achieving long-term economic growth. Achieving long-term cooper..

https://arxiv.org/abs/2307.12856 A Real-World WebAgent with Planning, Long Context Understanding, and Program SynthesisPre-trained large language models (LLMs) have recently achieved better generalization and sample efficiency in autonomous web automation. However, the performance on real-world websites has still suffered from (1) open domainness, (2) limited context lengtarxiv.org WebAgent는 실제 ..

https://arxiv.org/abs/2406.04151 AgentGym: Evolving Large Language Model-based Agents across Diverse EnvironmentsBuilding generalist agents that can handle diverse tasks and evolve themselves across different environments is a long-term goal in the AI community. Large language models (LLMs) are considered a promising foundation to build such agents due to their generarxiv.org 여기서는 직접 LLM을 학습하는 A..