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TLDR: Introduces AppWorld Engine, a high-fidelity execution environment of 9 day-to-day apps, operable via 457 APIs, populated with digital activities of 106 people living in a simulated world, and an associated benchmark of natural, diverse, and challenging autonomous agent tasks requiring rich and interactive coding.
In my opinion, AppWorld fits in the following (sub)sections.
4.1 Benchmarks for LLM-based Agents
1.3.1 Tool Using
3.2.1 Text-based Environment
2.1.1 Task-oriented Deployment (Web scenarios)
3.2.2 Virtual Sandbox Environment
1.1.5 Transferability and Generalization
The text was updated successfully, but these errors were encountered:
Thanks for a great survey and for setting up this repository!
I know the papers listed here from Zhiheng Xi et al. But if you are open to adding newer papers to the list, I would like to add AppWorld.
🔗 Website: https://appworld.dev/
📄 Paper: https://arxiv.org/abs/2407.18901
🐦 Tweet: https://x.com/harsh3vedi/status/1818311843976233198
💬 Blog: https://appworld.dev/blog
🎬 Video(s): https://appworld.dev/video
🌎 Code: https://github.com/stonybrooknlp/appworld
🧭 Data (task, trajectories) explorer, playground: https://appworld.dev/task-explorer
🔍 API explorer: https://appworld.dev/api-explorer
📊 Leaderboard: https://appworld.dev/leaderboard
TLDR: Introduces AppWorld Engine, a high-fidelity execution environment of 9 day-to-day apps, operable via 457 APIs, populated with digital activities of 106 people living in a simulated world, and an associated benchmark of natural, diverse, and challenging autonomous agent tasks requiring rich and interactive coding.
In my opinion, AppWorld fits in the following (sub)sections.
The text was updated successfully, but these errors were encountered: