om-ai-lab/OmAgent
[EMNLP-2024] Build multimodal language agents for fast prototype and production
[ICML'24 Spotlight] "TravelPlanner: A Benchmark for Real-World Planning with Language Agents"
$ git clone https://github.com/OSU-NLP-Group/TravelPlanner.git[EMNLP-2024] Build multimodal language agents for fast prototype and production
A generalized information-seeking agent system with Large Language Models (LLMs).
Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.
This is the repository for the Tool Learning survey.
Must-read Papers on Large Language Model (LLM) Planning.
Paper collection on building and evaluating language model agents via executable language grounding
Data from GitHub · snapshot Nov 13, 2026