Qingqing Cao's AI Research
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About
Qingqing Cao is a research scientist at Apple AIML focusing on efficient NLP, mobile computing, and ML systems. Her work includes building efficient NLP systems for edge devices and the cloud. Key projects include CtrlSynth for controllable image-text synthesis, KV Prediction for improved time to first token, Victor for efficient vision-language models, OpenELM, an efficient language model family, APT for adaptive pruning and tuning, and BTR for binary token representations in retrieval-augmented language models.
Platform
Task
Features
• binary token representations
• adaptive pruning and tuning pretrained language models
• efficient vision-language models
• kv prediction
• data-efficient multimodal learning
• faster transformer models
• on-device question answering
• efficient nlp systems
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