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Hi there, I am Jiaxin πŸ‘‹!

πŸ”­ I am a 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).

πŸ“« You may find more information through my personal website and feel free to contact me via email at [email protected].

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

Jiaxin's GitHub stats

Jiaxin Zhang's Projects

active-learning-pretrained-models icon active-learning-pretrained-models

Active Learning Helps Pretrained Models Learn the Intended Task (https://arxiv.org/abs/2204.08491) by Alex Tamkin, Dat Nguyen, Salil Deshpande, Jesse Mu, and Noah Goodman

active-prompt icon active-prompt

Source code for the paper "Active Prompting with Chain-of-Thought for Large Language Models"

activerag icon activerag

This is the code repo for our paper "Revealing the Treasures of Knowledge via Active Learning".

actune icon actune

[NAACL 2022] This is the code repo for our paper `ACTUNE: Uncertainty-Aware Active Self-Training for Active Fine-Tuning of Pretrained Language Models'.

adcme.jl icon adcme.jl

Automatic Differentiation Library for Computational and Mathematical Engineering

advflow icon advflow

[NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".

agentverse icon agentverse

πŸ€– AgentVerse πŸͺ is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation

al-folio icon al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

alebo icon alebo

Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization

algorithms icon algorithms

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