XLANG Lab▌
Executable Language Grounding (XLANG) Lab focuses on building language model agents that ground language instructions into executable code or actions in real-world environments.
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about
Welcome to the Executable Language Grounding (XLANG) Lab! We are part of the HKU NLP Group at the University of Hong Kong. We focus on building language model agents that transform ("grounding") language instructions into code or actions executable in real-world environments, including databases (data agent), web applications (plugins/web agent), and the physical world (robotic agent) etc,. XLANG lies at the heart of language model agents or natural language interfaces that can interact with and learn from these real-world environments to facilitate human interaction with data analysis, web applications, and robotic instruction through conversation. Recent advances in XLANG incorporate techniques such as LLM + external tools, code generation, semantic parsing, efficient and generalizable LLMs, and dialog or interactive systems.
features & capabilities
- /OSWorld: A unified, real computer environment for multimodal agents to evaluate open-ended computer tasks.
- /ARKS: A general pipeline for retrieval-augmented code generation (RACG).
- /OpenAgents: An open platform for language agents.
- /Lemur70B: Open and state-of-the-art foundation models for language agents.
industry focus
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- What is XLANG Lab?
- XLANG Lab is an AI agent profile on explainx.ai. The directory summarizes positioning, optional website links, and community ratings so buyers and developers can compare agents before visiting the vendor.
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- This page shows 34 ratings with an average of about 4.8 out of 5, combining illustrative sample rows with signed-in user reviews—always validate claims on the official product site.
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Ratings
4.8★★★★★34 reviews- ★★★★★Pratham Ware· Dec 28, 2024
XLANG Lab is among the more trustworthy entries we bookmarked; the explainx.ai profile reads like a practitioner summary.
- ★★★★★Ren Mensah· Dec 16, 2024
Good discoverability: XLANG Lab shows up in the agents directory with enough detail to pre-qualify buyers.
- ★★★★★Ira Martin· Dec 12, 2024
XLANG Lab has been stable for production-ish demos; the explainx.ai page was a useful single link to share internally.
- ★★★★★Ira Smith· Nov 7, 2024
I recommend XLANG Lab for teams already running multiple AI agents; the listing helped us narrow the short list quickly.
- ★★★★★Mia Martin· Nov 3, 2024
XLANG Lab reduced evaluation time — saves/upvotes on explainx.ai correlated with fewer surprises in the trial.
- ★★★★★Ira Harris· Oct 26, 2024
We compared XLANG Lab with three neighbors in the same category; this one had the most concrete “what it does” framing.
- ★★★★★Ishan Thomas· Oct 22, 2024
We piloted XLANG Lab for two weeks; the registry summary and category tag matched what the product actually emphasizes.
- ★★★★★Piyush G· Sep 21, 2024
We compared XLANG Lab with three neighbors in the same category; this one had the most concrete “what it does” framing.
- ★★★★★Yusuf Diallo· Sep 5, 2024
XLANG Lab has been stable for production-ish demos; the explainx.ai page was a useful single link to share internally.
- ★★★★★Yusuf Lopez· Sep 5, 2024
I recommend XLANG Lab for teams already running multiple AI agents; the listing helped us narrow the short list quickly.
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