Shuzhen ZhangThings I’m Learning
LLM recommendation and voting
I have researched recommendation systems with large language models, including LLM + vLLM majority voting to improve answer accuracy.
Research
Lab research, personal research questions, and new topics I am learning.
Latent Structure Lab
Fixing distortion in low-dimensional visualization
My main research continues the published work on detecting distortion in nonlinear data embeddings. Our current goal is to reduce that distortion with algorithms, so low-dimensional visualizations better preserve the high-dimensional structure they represent.
Personal Research Questions I’m Interested In
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01
Multi-source hallucination
How can we reduce hallucination when a model must reconcile multiple input sources?
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02
Long-task memory
How should long-short memory systems be designed when tasks are long but context windows are limited?
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03
Embedding reliability
How can we quantify embedding reliability across random seeds and data shifts?