| 2026 | EACL | Ranking Human and LLM Texts Using Locality Statistics. | Yiyang Wang, Chen Ding, Hangfeng He |
| 2025 | ACL | Same Company, Same Signal: The Role of Identity in Earnings Call Transcripts. | Ding Yu, Zhuo Liu, Hangfeng He |
| 2025 | EMNLP | The Role of Model Confidence on Bias Effects in Measured Uncertainties for Vision-Language Models. | Xinyi Liu, Weiguang Wang, Hangfeng He |
| 2025 | EMNLP | On the Role of Model Prior in Real-World Inductive Reasoning. | Zhuo Liu, Ding Yu, Hangfeng He |
| 2025 | EMNLP | Analyzing Uncertainty of LLM-as-a-Judge: Interval Evaluations with Conformal Prediction. | Huanxin Sheng, Xinyi Liu, Hangfeng He, Jieyu Zhao, Jian Kang |
| 2025 | EMNLP | TreeRare: Syntax Tree-Guided Retrieval and Reasoning for Knowledge-Intensive Question Answering. | Boyi Zhang, Zhuo Liu, Hangfeng He |
| 2025 | NAACL | Mitigating Hallucinations in Multimodal Spatial Relations through Constraint-Aware Prompting. | Jiarui Wu, Zhuo Liu, Hangfeng He |
| 2024 | ACL | An Empirical Analysis on Large Language Models in Debate Evaluation. | Xinyi Liu, Pinxin Liu, Hangfeng He |
| 2024 | NAACL | SocREval: Large Language Models with the Socratic Method for Reference-free Reasoning Evaluation. | Hangfeng He, Hongming Zhang, Dan Roth |
| 2024 | NAACL | Unveiling Divergent Inductive Biases of LLMs on Temporal Data. | Sindhu Kishore, Hangfeng He |
| 2023 | ICML | On Regularization and Inference with Label Constraints. | Kaifu Wang, Hangfeng He, Tin D. Nguyen, Piyush Kumar, Dan Roth |
| 2022 | ICLR | Weighted Training for Cross-Task Learning. | Shuxiao Chen, Koby Crammer, Hangfeng He, Dan Roth, Weijie J. Su |
| 2021 | EMNLP | Foreseeing the Benefits of Incidental Supervision. | Hangfeng He, Mingyuan Zhang, Qiang Ning, Dan Roth |
| 2021 | ICML | Toward Better Generalization Bounds with Locally Elastic Stability. | Zhun Deng, Hangfeng He, Weijie J. Su |
| 2020 | ACL | QuASE: Question-Answer Driven Sentence Encoding. | Hangfeng He, Qiang Ning, Dan Roth |
| 2020 | COLING | QANom: Question-Answer driven SRL for Nominalizations. | Ayal Klein, Jonathan Mamou, Valentina Pyatkin, Daniela Stepanov, Hangfeng He, Dan Roth, Luke Zettlemoyer, Ido Dagan |
| 2020 | ICLR | The Local Elasticity of Neural Networks. | Hangfeng He, Weijie J. Su |
| 2020 | ICML | Towards Understanding the Dynamics of the First-Order Adversaries. | Zhun Deng, Hangfeng He, Jiaoyang Huang, Weijie J. Su |
| 2020 | LREC | Understanding Spatial Relations through Multiple Modalities. | Soham Dan, Hangfeng He, Dan Roth |
| 2019 | NAACL | Partial Or Complete, That's The Question. | Qiang Ning, Hangfeng He, Chuchu Fan, Dan Roth |
| 2017 | AAAI | A Unified Model for Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media. | Hangfeng He, Xu Sun |
| 2017 | EACL | Detecting negation scope is easy, except when it isn't. | Federico Fancellu, Adam Lopez, Bonnie L. Webber, Hangfeng He |
| 2017 | EACL | F-Score Driven Max Margin Neural Network for Named Entity Recognition in Chinese Social Media. | Hangfeng He, Xu Sun |