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jxzhangjhu/README.md

Hi there, I am Jiaxin ๐Ÿ‘‹!

๐Ÿ”ญ I am a Senior Staff Research Scientist at Intuit AI Research where my focus is Generative AI (large language models (LLMs), and diffusion models), and AI Robustness & Safety (uncertainty, reliability, and trustworthiness) with extensive applications to complex real-world tasks. Previously, I was a Research Staff in the Computer Science and Mathematics Division at Oak Ridge National Laboratory where my research aims at accelerating AI for Science on supercomputers, such as Summit and Frontier. I received my Ph.D. from the Johns Hopkins University with an emphasis on uncertainty quantification (UQ).

๐Ÿ“ซ You may find more information through my personal website and feel free to contact me via email at jxzhangai@gmail.com.

๐Ÿ˜„ Some recent publications in LLMs (full publication list in Google Scholar)

Jiaxin's GitHub stats

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  1. SURGroup/UQpy SURGroup/UQpy Public

    UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.

    Python 281 81

  2. zhuohangli/GGL zhuohangli/GGL Public

    A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".

    Jupyter Notebook 58 15

  3. Awesome-LLM-Uncertainty-Reliability-Robustness Awesome-LLM-Uncertainty-Reliability-Robustness Public

    Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

    684 47

  4. intuit/sac3 intuit/sac3 Public

    Official repo for SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency

    Jupyter Notebook 33 7

  5. Awesome-LLM-RAG Awesome-LLM-RAG Public

    Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models

    1k 63

  6. intuit-ai-research/DCR-consistency intuit-ai-research/DCR-consistency Public

    DCR-Consistency: Divide-Conquer-Reasoning for Consistency Evaluation and Improvement of Large Language Models

    Python 22 3