About me
I am currently a final year Ph.D. student at Kahlert School of Computing, University of Utah, advised by Prof. Vivek Srikumar and Prof. Bei Wang . I am affliated with Utah NLP and SCI Institute
I am broadly interested in deep learning methods for NLP and Information Retrieval, my previous works involve retrieval-augmentioned generation, in-context learning, decoding methods for natural language generation, dense retrieval, recommendation and learning-to-rank.
I am on job market! I am looking for industrial research positions in NLP/IR, reach me at zhichao.xu@utah.edu if you are interested.
@Twitter @Google Scholar @CV
Recent News
- 09/2024: Two papers accepted to Findings of EMNLP, evaluating safety dimensions of LLM compression [preprint] and empathetic dialogue utterances [preprint]
- 06/2024: Counterfactual Editing for Search Result Explanation accepted to ICTIR 2024, check [preprint]
- 03/2024: In-Context Example Ordering Guided by Label Distributions accepted to Findings of NAACL 2024, check [preprint]
- 11/2023: Vertical Allocation-based Fair Exposure Amortizing in Ranking receives Honorable Mention @SIGIR-AP2023
- 07/2023: Automated Generation of Security-Centric Descriptions for Smart Contract Bytecode received Distinguished Paper Award @ISSTA2023
- 05/2023: A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability accepted to @TOIS
Education
- PhD in Computer Science
University of Utah, Salt Lake City, UT, 2020 Fall - Present
- MS in Computer Science
Rutgers University, the State University of New Jersey, New Brunswick, NJ, 2018 Fall - 2020 Summer
- BS in Applied Statistics
Shanghai University of Finance and Economics, Shanghai, 2014 Fall - 2018 Summer
Professional Experiences
- Research Intern,
mentored by Dr. Junpeng Wang
Visa Research, Foster City, CA, 05.2024 - 08.2024
- Student Researcher,
mentored by Dr. Jiepu Jiang
Google Research, Mountain View, CA, 05.2023 - 08.2023
- Research Intern,
mentored by Dr. Daniel Cohen
and Dr. Hemank Lamba
Dataminr, New York City, NY, 09.2022 - 12.2022
- Research Intern, mentored by
Dr. Sebastian Bruch
and Dr. Hemank Lamba
Dataminr, New York City, NY, 05.2022 - 08.2022
- Data Science Intern
SAP Lab, Shanghai, CN, 12.2017 - 05.2018
Academic Services
- Conference Reviewer: ACL, ACL ARR, CCL, DLP-KDD, TheWebConf, SIGIR, RecSys
- Workshop Reviewer: DLP-KDD, DLP-RecSys
- Journal Reviewer: TOIS
Teaching
- TA, CS 6350 Machine Learning, 2024 Spring, University of Utah, School of Computing, lectured by Prof. Vivek Srikumar.
- Lead TA, CS 6140 Data Mining, 2023 Spring, University of Utah, School of Computing, lectured by Prof. Ana Marasovic.
- TA, CS 2100 Discrete Structures, 2022 Fall, University of Utah, School of Computing, lectured by Prof. Bei Wang Philips.
- TA, CS 6140 Data Mining, 2022 Spring, University of Utah, School of Computing, lectured by Prof. Qingyao Ai.
