Welcome to the Executable Language Grounding (XLANG) Lab! We are part of the HKU NLP Group at the University of Hong Kong. XLang focuses 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,. It 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, and dialog or interactive systems.
XLANG Lab
Developing embodied AI agents that empower users to use language to interact with digital and physical environments to carry out real-world tasks.
Pinned Loading
-
OpenAgents
OpenAgents Public[COLM 2024] OpenAgents: An Open Platform for Language Agents in the Wild
-
instructor-embedding
instructor-embedding Public[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings
-
text2reward
text2reward Public[ICLR 2024 Spotlight] Text2Reward: Reward Shaping with Language Models for Reinforcement Learning
Repositories
Showing 10 of 26 repositories
- AgentNetTool Public
This is the official code base of AgentNetTool in OpenCUA. Website: https://opencua.xlang.ai/
xlang-ai/AgentNetTool’s past year of commit activity - computer-agent-arena Public
Computer Agent Arena: Test & compare AI agents in real desktop apps & web environments. Code/data coming soon!
xlang-ai/computer-agent-arena’s past year of commit activity