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lindazeng979/README.md

💫 About Me

I’m a passionate machine learning researcher and developer with experience in natural language processing, retrieval-augmented generation, and multilingual large language models. I have worked on a variety of projects, including mitigating bias in computer vision, low-resource machine translation, code-mixed sentiment analysis, LLM data augmentation, RAG for various applications, and food detection, and have expertise working in various environments such as Google Colab, Mathematica, and VS Code. Currently, I’m working on retrieval-augmented generation for open book question answering. In my free time, I love to dance, write, paint, and travel.

🚀 Tech Stack

Python Java HTML CSS TensorFlow PyTorch Keras scikit-learn NumPy Pandas VS Code LaTeX Markdown Mathematica


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  1. LLM-CMSA LLM-CMSA Public

    This repository contains datasets accompanying our paper Leveraging Large Language Models for Code-Mixed Data Augmentation in Sentiment Analysis (EMNLP '24). The datasets include both natural and s…

    1

  2. BergNet BergNet Public

    BergNet is a deep learning project focused on classifying food items served at Harvard University's Annenberg Hall. This provides the code and report.

    Mathematica

  3. ucscirkm/SIM-RAG ucscirkm/SIM-RAG Public

    Python 34 2