Comments (1)
Hi, thank you for sharing your paper from NeurIPS-23! The approach of combining pre-trained LLMs with external planners for task planning aligns impressively with our survey's focus. We are currently working on the third edition of our survey and plan to include your work in the next update. Your research is a valuable addition, offering fresh insights into the development of intelligent agents.
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Related Issues (19)
- Not an issue, just wanted to say thank you for keeping this up to date HOT 1
- APi-Bank URLs are dead HOT 3
- 多智能体 HOT 1
- Add Suspicion-Agent HOT 1
- Missing Related Work HOT 2
- citation version HOT 1
- Pointer to early LLM-based simulation agent HOT 2
- Update Chart HOT 1
- AppAgent HOT 1
- I'd like to share recent work "Empowering Large Language Model Agents through Action Learning" HOT 1
- One reference on LLM Agents playing Trust Games HOT 1
- Introducing a new paper on role-playing LLM agents (ACL 2024 Findings) HOT 1
- Seamlessly integrate state-of-the-art transformer models into robotics stacks (embodied-agents) HOT 1
- Consider adding AppWorld to the list HOT 2
- unified agent framework HOT 3
- [165] reference HOT 1
- Equation 1 HOT 2
- 能否在交互式表格中加入是否需要finetune这列呀 HOT 2
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