About me

I’m a 5th year PhD student at JHU-CLSP advised by Prof. Benjamin Van Durme and Anqi Liu. Before that I got my bachelor’s degree in computer science and Chinese language and literature (double major) from Peking University and my master’s degree in computer science at Columbia University.

My research focuses on developing and training language models that respond reliably under uncertainty and incomplete information. I use probabilistic evaluation to robustly identify model failures and guide post-training. My work spans robust rationale evaluation, linguistic calibration, and methods that use uncertainty to improve credit assignment and compute allocation for long-horizon agents.

Research Experience

Research Intern, Meta Superintelligence Lab, Mentor: Li Chen (Aug. 2025 - Feb. 2026)
Research Intern, Microsoft Research, Mentor: Gonzalo Ramos, Jina Suh (Apr. 2025 - Jul. 2025)
Applied Scientist Intern, Amazon Alexa AI, Mentor: Nieu Nguyen, Rupak Vignesh Swaminathan, Yi Xie (May. 2023 - Aug. 2023)
Cognitive Developer Intern, IBM Watson Group, Mentor: Saloni Potdar, Pan Lin (May. 2021 - Aug. 2021)
Graduate Research Assistant, Data Science Institute, Columbia University, Advisor: Prof. Smaranda Muresan (Jun. 2020 - Apr. 2021)
Graduate Research Assistant, Natural Language Processing Lab, Columbia University, Advisor: Prof. Kathleen McKeown (Sept. 2019 - Jan. 2021)
Research Assistant, Natural Language Processing Lab, Columbia University, Advisor: Prof. Julia Hirschberg (Sept. 2019 - Apr. 2021)
Research Intern, Center for Language and Speech Processing, Johns Hopkins University, Advisor: Prof. Benjamin Van Durme (Jul. 2018 - Jun. 2019)
Research Intern, Nat. Key Laboratory of Machine Perception, Peking University, Advisor: Prof. Zhi-Hong Deng (Apr. 2017, Jul. 2019)

Publications

Zhengping Jiang, William Jurayj, Liaoyaqi Wang, Chunsheng Zuo, Anqi Liu, Benjamin Van Durme. FOCUS: Active Critic Learning for Long-Horizon Language Model Agents, Preprint, 2026 [paper][code]
Zhengping Jiang, Gonzalo Ramos, Jina Suh, Shiqian Rachel Ng, Elias Stengel-Eskin, Justin Svegliato, Benjamin Van Durme, Andy Huntington, Sam Thomson. FrankenReport: Early Exiting in Long-Form Generation Using Expected Value of Computation, EMNLP 2026 [paper]
Zhengping Jiang, Mehran Khodabandeh, Akash Bharadwaj, Manik Bhandari, Mayur Srungarapu, Anqi Liu, Benjamin Van Durme, Li Chen. Configurable Reward Model for Balanced Safety Alignment, ICML 2026 [paper]
William Gantt Walden, Kathryn Ricci, Miriam Wanner, Zhengping Jiang, Chandler May, Rongkun Zhou, Benjamin Van Durme. How Grounded is Wikipedia? A Study on Structured Evidential Support and Retrieval, ACL 2026 Findings [paper]
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?, EMNLP 2025 Findings [paper]
Zhengping Jiang, Anqi Liu, Benjamin Van Durme. Conformal Linguistic Calibration: Trading-off between Factuality and Specificity, NeurIPS 2025 [paper][code]
Liaoyaqi Wang, Zhengping Jiang, Anqi Liu, Benjamin Van Durme. Always Tell Me The Odds: Fine-grained Conditional Probability Estimation, COLM 2025, [paper][code]
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 [paper][code]
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, EMNLP 2024 [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]
Zhengping Jiang, Sarah Ita Levitan, Jonathan Zomick, and Julia Hirschberg. Detection of mental health conditions from reddit via deep contextualized representations. LOUHI2020, EMNLP [paper]
David Wan, Zhengping Jiang, Chris Kedzie, Elsbeth Turcan, Peter Bell, and Kathy McKeown. Subtitles to segmentation: Improving low-resource speech-to-TextTranslation pipelines. CLSST2020 [paper]
Tongfei Chen*, Zhengping Jiang*, Adam Poliak, Keisuke Sakaguchi, and Benjamin Van Durme. Uncertain natural language inference. ACL2020 [paper][code]
Zhengping Jiang and Qi Sun. CSReader at SemEval-2018 task 11: Multiple choice question answering as textual entailment. SemEval2018 [paper]