A Unified Model for Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media. - Hangfeng He 001; Xu Sun 001 (AAAI, 2017)

Detecting negation scope is easy, except when it isn't. - Federico Fancellu; Adam Lopez; Bonnie L. Webber; Hangfeng He 001 (EACL (2), 2017)

F-Score Driven Max Margin Neural Network for Named Entity Recognition in Chinese Social Media. - Hangfeng He 001; Xu Sun 001 (EACL (2), 2017)

Cross-Domain and Semisupervised Named Entity Recognition in Chinese Social Media: A Unified Model. - Jingjing Xu 001; Hangfeng He 001; Xu Sun 001; Xuancheng Ren; Sujian Li (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Partial Or Complete, That's The Question. - Qiang Ning; Hangfeng He 001; Chuchu Fan; Dan Roth 001 (NAACL-HLT (1), 2019)

Incidental Supervision from Question-Answering Signals. - Hangfeng He 001; Qiang Ning; Dan Roth 001 (CoRR, 2019)

QuASE: Question-Answer Driven Sentence Encoding. - Hangfeng He 001; Qiang Ning; Dan Roth 001 (ACL, 2020)

QANom: Question-Answer driven SRL for Nominalizations. - Ayal Klein; Jonathan Mamou; Valentina Pyatkin; Daniela Stepanov; Hangfeng He 001; Dan Roth 001; Luke Zettlemoyer; Ido Dagan (COLING, 2020)

The Local Elasticity of Neural Networks. - Hangfeng He 001; Weijie J. Su (ICLR, 2020)

Towards Understanding the Dynamics of the First-Order Adversaries. - Zhun Deng; Hangfeng He 001; Jiaoyang Huang; Weijie J. Su (ICML, 2020)

Understanding Spatial Relations through Multiple Modalities. - Soham Dan; Hangfeng He 001; Dan Roth 001 (LREC, 2020)

Label-Aware Neural Tangent Kernel: Toward Better Generalization and Local Elasticity. - Shuxiao Chen; Hangfeng He 001; Weijie J. Su (NeurIPS, 2020)

Foreshadowing the Benefits of Incidental Supervision. - Hangfeng He 001; Mingyuan Zhang; Qiang Ning; Dan Roth 001 (CoRR, 2020)

Foreseeing the Benefits of Incidental Supervision. - Hangfeng He 001; Mingyuan Zhang; Qiang Ning; Dan Roth 001 (EMNLP (1), 2021)

Toward Better Generalization Bounds with Locally Elastic Stability. - Zhun Deng; Hangfeng He 001; Weijie J. Su (ICML, 2021)

Layer-Peeled Model: Toward Understanding Well-Trained Deep Neural Networks. - Cong Fang 001; Hangfeng He 001; Qi Long; Weijie J. Su (CoRR, 2021)

Weighted Training for Cross-Task Learning. - Shuxiao Chen; Koby Crammer; Hangfeng He 001; Dan Roth 001; Weijie J. Su (ICLR, 2022)

A Law of Data Separation in Deep Learning. - Hangfeng He 001; Weijie J. Su (CoRR, 2022)

On Regularization and Inference with Label Constraints. - Kaifu Wang; Hangfeng He 001; Tin D. Nguyen; Piyush Kumar; Dan Roth 001 (ICML, 2023)

Rethinking with Retrieval: Faithful Large Language Model Inference. - Hangfeng He 001; Hongming Zhang 009; Dan Roth 001 (CoRR, 2023)

An Empirical Analysis on Large Language Models in Debate Evaluation. - Xinyi Liu; Pinxin Liu; Hangfeng He 001 (ACL (Short Papers), 2024)

SocREval: Large Language Models with the Socratic Method for Reference-free Reasoning Evaluation. - Hangfeng He 001; Hongming Zhang 009; Dan Roth 001 (NAACL-HLT (Findings), 2024)

Unveiling Divergent Inductive Biases of LLMs on Temporal Data. - Sindhu Kishore; Hangfeng He 001 (NAACL (Short Papers), 2024)

A Law of Next-Token Prediction in Large Language Models. - Hangfeng He 001; Weijie J. Su (CoRR, 2024)

MMCOMPOSITION: Revisiting the Compositionality of Pre-trained Vision-Language Models. - Hang Hua; Yunlong Tang 002; Ziyun Zeng; Liangliang Cao; Zhengyuan Yang; Hangfeng He 001; Chenliang Xu; Jiebo Luo 001 (CoRR, 2024)

On the Role of Model Prior in Real-World Inductive Reasoning. - Zhuo Liu; Ding Yu; Hangfeng He 001 (CoRR, 2024)

Robust Learning Rate Selection for Stochastic Optimization via Splitting Diagnostic. - Matteo Sordello; Niccolò Dalmasso; Hangfeng He 001; Weijie J. Su (Trans. Mach. Learn. Res., 2024)

Same Company, Same Signal: The Role of Identity in Earnings Call Transcripts. - Ding Yu; Zhuo Liu; Hangfeng He 001 (ACL (Findings), 2025)

Mitigating Hallucinations in Multimodal Spatial Relations through Constraint-Aware Prompting. - Jiarui Wu; Zhuo Liu; Hangfeng He 001 (NAACL (Findings), 2025)

An Empirical Analysis of LLMs for Countering Misinformation. - Adiba Mahbub Proma; Neeley Pate; James Druckman; Gourab Ghoshal; Hangfeng He 001; Mohammed E. Hoque 001 (CoRR, 2025)

TreeRare: Syntax Tree-Guided Retrieval and Reasoning for Knowledge-Intensive Question Answering. - Boyi Zhang; Zhuo Liu; Hangfeng He 001 (CoRR, 2025)

The Role of Model Confidence on Bias Effects in Measured Uncertainties. - Xinyi Liu; Weiguang Wang; Hangfeng He 001 (CoRR, 2025)