๐ญ 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).
๐ซ You may find more information through my personal website and feel free to contact me via email at jxzhangai@gmail.com.
๐ Some recent publications in LLMs (full publication list in Google Scholar)
- [NeurIPS 2023] Jiaxin Zhang, Zhuohang Li, Kamalika Das, and Sricharan Kumar. Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision.
- [EMNLP 2023] Jiaxin Zhang, Zhuohang Li, Kamalika Das, Bradley Malin, and Sricharan Kumar. SAC
$^3$ : Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency.