Hangfeng He

According to our database, Hangfeng He authored at least 21 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

SocREval: Large Language Models with the Socratic Method for Reference-Free Reasoning Evaluation.

Hangfeng He, Hongming Zhang, Dan Roth

CoRR, 2023

Rethinking with Retrieval: Faithful Large Language Model Inference.

Hangfeng He, Hongming Zhang, Dan Roth

CoRR, 2023

On Regularization and Inference with Label Constraints.

Kaifu Wang, Hangfeng He, Tin D. Nguyen, Piyush Kumar, Dan Roth

Proceedings of the International Conference on Machine Learning, 2023

2022

A Law of Data Separation in Deep Learning.

Hangfeng He, Weijie J. Su

CoRR, 2022

Weighted Training for Cross-Task Learning.

Shuxiao Chen, Koby Crammer, Hangfeng He, Dan Roth, Weijie J. Su

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Layer-Peeled Model: Toward Understanding Well-Trained Deep Neural Networks.

Cong Fang, Hangfeng He, Qi Long, Weijie J. Su

CoRR, 2021

Toward Better Generalization Bounds with Locally Elastic Stability.

Zhun Deng, Hangfeng He, Weijie J. Su

Proceedings of the 38th International Conference on Machine Learning, 2021

Foreseeing the Benefits of Incidental Supervision.

Hangfeng He, Mingyuan Zhang, Qiang Ning, Dan Roth

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Foreshadowing the Benefits of Incidental Supervision.

Hangfeng He, Mingyuan Zhang, Qiang Ning, Dan Roth

CoRR, 2020

Label-Aware Neural Tangent Kernel: Toward Better Generalization and Local Elasticity.

Shuxiao Chen, Hangfeng He, Weijie J. Su

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Understanding Spatial Relations through Multiple Modalities.

Soham Dan, Hangfeng He, Dan Roth

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Towards Understanding the Dynamics of the First-Order Adversaries.

Zhun Deng, Hangfeng He, Jiaoyang Huang, Weijie J. Su

Proceedings of the 37th International Conference on Machine Learning, 2020

The Local Elasticity of Neural Networks.

Hangfeng He, Weijie J. Su

Proceedings of the 8th International Conference on Learning Representations, 2020

QANom: Question-Answer driven SRL for Nominalizations.

Ayal Klein, Jonathan Mamou, Valentina Pyatkin, Daniela Stepanov, Hangfeng He, Dan Roth, Luke Zettlemoyer, Ido Dagan

Proceedings of the 28th International Conference on Computational Linguistics, 2020

QuASE: Question-Answer Driven Sentence Encoding.

Hangfeng He, Qiang Ning, Dan Roth

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Incidental Supervision from Question-Answering Signals.

Hangfeng He, Qiang Ning, Dan Roth

CoRR, 2019

Partial Or Complete, That's The Question.

Qiang Ning, Hangfeng He, Chuchu Fan, Dan Roth

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Cross-Domain and Semisupervised Named Entity Recognition in Chinese Social Media: A Unified Model.

Jingjing Xu, Hangfeng He, Xu Sun, Xuancheng Ren, Sujian Li

IEEE ACM Trans. Audio Speech Lang. Process., 2018

2017

F-Score Driven Max Margin Neural Network for Named Entity Recognition in Chinese Social Media.

Hangfeng He, Xu Sun

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Detecting negation scope is easy, except when it isn't.

Federico Fancellu, Adam Lopez, Bonnie L. Webber, Hangfeng He

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

A Unified Model for Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media.

Hangfeng He, Xu Sun

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017