xlang-ai/xlang-paper-reading

Paper collection on building and evaluating language model agents via executable language grounding

28
/ 100
Experimental

This project helps researchers and developers stay current with advancements in building language model agents that can translate natural language instructions into executable code or actions. It curates academic papers on techniques like code generation, tool use, and web/robotics grounding. Anyone working on or researching how language models can interact with and control real-world systems would find this collection useful.

366 stars. No commits in the last 6 months.

Use this if you are an AI researcher or developer focusing on language models that can understand and act on natural language commands in various environments.

Not ideal if you are looking for an off-the-shelf tool or application to solve a specific business problem using AI, rather than research papers.

AI Research Language Model Development Robotics AI Natural Language Processing Agent Systems
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 10 / 25

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366

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Last pushed

Apr 29, 2024

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