Scholar
Zhengping JIANG
Google Scholar ID: skgb6DUAAAAJ
Johns Hopkins University
Citations & Impact
Citations
305
H-index
6
i10-index
5
Publications
20
Co-authors
0
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- - Jiefu Ou, William Gantt Walden, Kate Sanders, Zhengping Jiang, Kaiser Sun, Jeffrey Cheng, William Jurayj, Miriam Wanner, Shaobo Liang, Candice Morgan, Seunghoon Han, Weiqi Wang, Chandler May, Hannah Recknor, Daniel Khashabi, Benjamin Van Durme. ClaimCheck: How Grounded are LLM Critiques of Scientific Papers? [preprint]
- - Zhengping Jiang, Anqi Liu, Benjamin Van Durme. Conformal Linguistic Calibration: Trading-off between Factuality and Specificity [preprint]
- - Zhengping Jiang, Jingyu Zhang, Nathaniel Weir, Seth Ebner, Miriam Wanner, Kate Sanders, Daniel Khashabi, Anqi Liu, Benjamin Van Durme. Core: Robust Factual Precision with Informative Sub-Claim Identification, ACL 2025 Findings [preprint]
- - Zhengping Jiang*, Yining Lu*, Hanjie Chen, Daniel Khashabi, Benjamin Van Durme, Anqi Liu. RORA: Robust Free-Text Rationale Evaluation, ACL2024 [paper][code]
- - Miriam Wanner*, Seth Ebner*, Zhengping Jiang, Mark Dredze, Benjamin Van Durme. A Closer Look at Claim Decomposition, *SEM2024 [paper]
- - Nathaniel Weir, Kate Sanders, Orion Weller, Shreya Sharma, Dongwei Jiang, Zhengping Zhang, Bhavana Dalvi Mishra, Oyvind Tafjord, Peter Jansen, Peter Clark, Benjamin Van Durme. Enhancing systematic decompositional natural language inference using informal logic [paper]
- - Zhengping Jiang, Anqi Liu, Benjamin Van Durme. Addressing the Binning Problem in Calibration Assessment through Scalar Annotation, TACL2024 [paper]
- - Samuel Barham, Orion Weller, Michelle Yuan, Kenton Murray, Mahsa Yarmohammadi, Zhengping Jiang, Siddharth Vashishtha, Alexander Martin, Anqi Liu, Aaron Steven White, Jordan Boyd-Graber, Benjamin Van Durme. MegaWika: Millions of reports and their sources across 50 diverse languages [paper]
- - Zhengping Jiang, Anqi Liu, Benjamin Van Durme. Calibrating Zero-shot Cross-lingual (Un-)structured Predictions, EMNLP 2022 [paper][code]
- - Zhengping Jiang, Jonathan Zomick, Sarah Ita Levitan, Mark Serper, Julia Hirschberg. Automatic Detection and Prediction of Psychiatric Hospitalizations From Social Media Posts, CLPsych2021, NAACL [paper]
- - David Wan, Chris Kedzie, Faisal Ladhak, Elsbeth Turcan, Petra Galuščáková, Elena Zotkina, Zhengping Jiang, Peter Bell, Kathleen McKeown. Segmenting Subtitles for Correcting ASR Segmentation Errors, EACL2021 [paper]
Research Experience
- - (Incoming) Research Intern at Meta GenAI, Mentor: Li Chen (Jul. 2025 - Nov. 2025)
- - (Incoming) Research Intern at Microsoft Research, Mentor: Gonzalo Ramos (Apr. 2025 - Jul. 2025)
- - Applied Scientist Intern at Amazon Alexa AI, Mentors: Nieu Nguyen, Rupak Vignesh Swaminathan, Yi Xie (May. 2023 - Aug. 2023)
- - Cognitive Developer Intern at IBM Watson Group, Mentors: Saloni Potdar, Pan Lin (May. 2021 - Aug. 2021)
- - Graduate Research Assistant at Data Science Institute, Columbia University, Advisor: Prof. Smaranda Muresan (Jun. 2020 - Apr. 2021)
- - Graduate Research Assistant at Natural Language Processing Lab, Columbia University, Advisor: Prof. Kathleen McKeown (Sept. 2019 - Jan. 2021)
- - Research Assistant at Natural Language Processing Lab, Columbia University, Advisor: Prof. Julia Hirschberg (Sept. 2019 - Apr. 2021)
- - Research Intern at Center for Language and Speech Processing, Johns Hopkins University, Advisor: Prof. Benjamin Van Durme (Jul. 2018 - Jun. 2019)
- - Research Intern at Nat. Key Laboratory of Machine Perception, Peking University, Advisor: Prof. Zhi-Hong Deng (Apr. 2017, Jul. 2019)
Education
- - Bachelor's degree in Computer Science and Chinese Language and Literature (double major) from Peking University
- - Master's degree in Computer Science from Columbia University
Background
- Zhengping JIANG is a 4th year PhD student at JHU-CLSP, advised by Prof. Benjamin Van Durme and Anqi Liu. He is an NLP enthusiast, with primary interest in building more calibrated NLP models and utilizing model uncertainty estimation.
Co-authors