XPENG-AI/X-AuT
Automatic Speech Recognition • 0.9B • Updated • 94 • 5
XPENG AI
non-profit
AI & ML interests
LLM, VLM, Omni Model, Agent, VLA
Recent Activity
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Papers
X-AuT: Progressive Audio-Encoder Compression for Speech LLMs with Cross-Scale Distillation
OmniGUI: Benchmarking GUI Agents in Omni-Modal Smartphone Environments
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XPENG AI
Open-source models and research for intelligent mobility.
Official Website · GitHub · X-AuT · OmniGUI
About
XPENG AI shares selected models, research, and practical tools with the open-source community. Our work explores efficient AI systems for intelligent mobility, speech, and multimodal interaction.
Featured Projects
X-AuT
Progressive Audio-Encoder Compression for Speech LLMs with Cross-Scale Distillation
X-AuT is a compact automatic speech recognition model based on Qwen3-ASR-0.6B. It reduces the audio encoder from 18 to 14 Transformer blocks through progressive compression and cross-scale knowledge transfer.
The release includes full model weights, standalone inference, and a compact LoRA finetuning example.
| Resource | Link |
|---|---|
| Model weights | XPENG-AI/X-AuT |
| Project website | xpeng-ai.github.io/x-aut |
| Source code | XPENG-AI/X-AuT |
OmniGUI
Benchmarking GUI Agents in Omni-Modal Smartphone Environments
OmniGUI is a step-level benchmark for GUI agents operating in smartphone environments with interleaved screenshots, audio, video, and action history. It evaluates localization, semantic understanding, cross-modal discrimination, temporal reasoning, and instant response across 29 applications.
| Resource | Link |
|---|---|
| Project website | omni-gui.github.io |
| Paper | arXiv:2605.18758 |
| Source code | omni-gui/OmniGUI |
| Dataset | OmniGUI/OmniGUI |
More to Come
New models and research projects will be added here as they become publicly available.
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