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Hangfeng He 0001
Person information
- affiliation: University of Rochester, NY, USA
Other persons with the same name
- Hangfeng He 0002
— Ningbo University, Ningbo, China (and 1 more)
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2020 – today
- 2024
- [j2]Matteo Sordello, Niccolò Dalmasso, Hangfeng He, Weijie J. Su:
Robust Learning Rate Selection for Stochastic Optimization via Splitting Diagnostic. Trans. Mach. Learn. Res. 2024 (2024) - [c17]Xinyi Liu, Pinxin Liu, Hangfeng He:
An Empirical Analysis on Large Language Models in Debate Evaluation. ACL (Short Papers) 2024: 470-487 - [c16]Sindhu Kishore, Hangfeng He:
Unveiling Divergent Inductive Biases of LLMs on Temporal Data. NAACL (Short Papers) 2024: 220-228 - [c15]Hangfeng He, Hongming Zhang, Dan Roth:
SocREval: Large Language Models with the Socratic Method for Reference-free Reasoning Evaluation. NAACL-HLT (Findings) 2024: 2736-2764 - [i19]Sindhu Kishore, Hangfeng He:
Unveiling Divergent Inductive Biases of LLMs on Temporal Data. CoRR abs/2404.01453 (2024) - [i18]Xinyi Liu, Pinxin Liu, Hangfeng He:
An Empirical Analysis on Large Language Models in Debate Evaluation. CoRR abs/2406.00050 (2024) - [i17]Hangfeng He, Weijie J. Su:
A Law of Next-Token Prediction in Large Language Models. CoRR abs/2408.13442 (2024) - [i16]Hang Hua, Yunlong Tang, Ziyun Zeng, Liangliang Cao, Zhengyuan Yang, Hangfeng He, Chenliang Xu, Jiebo Luo:
MMCOMPOSITION: Revisiting the Compositionality of Pre-trained Vision-Language Models. CoRR abs/2410.09733 (2024) - 2023
- [c14]Kaifu Wang, Hangfeng He, Tin D. Nguyen, Piyush Kumar, Dan Roth:
On Regularization and Inference with Label Constraints. ICML 2023: 35740-35762 - [i15]Hangfeng He
Rethinking with Retrieval: Faithful Large Language Model Inference. CoRR abs/2301.00303 (2023) - [i14]Kaifu Wang, Hangfeng He, Tin D. Nguyen, Piyush Kumar, Dan Roth:
On Regularization and Inference with Label Constraints. CoRR abs/2307.03886 (2023) - [i13]Hangfeng He, Hongming Zhang, Dan Roth:
SocREval: Large Language Models with the Socratic Method for Reference-Free Reasoning Evaluation. CoRR abs/2310.00074 (2023) - 2022
- [c13]Shuxiao Chen, Koby Crammer, Hangfeng He
Weighted Training for Cross-Task Learning. ICLR 2022 - [i12]Hangfeng He, Weijie J. Su:
A Law of Data Separation in Deep Learning. CoRR abs/2210.17020 (2022) - 2021
- [c12]Hangfeng He, Mingyuan Zhang, Qiang Ning, Dan Roth:
Foreseeing the Benefits of Incidental Supervision. EMNLP (1) 2021: 1782-1800 - [c11]Zhun Deng, Hangfeng He, Weijie J. Su:
Toward Better Generalization Bounds with Locally Elastic Stability. ICML 2021: 2590-2600 - [i11]Cong Fang, Hangfeng He, Qi Long, Weijie J. Su:
Layer-Peeled Model: Toward Understanding Well-Trained Deep Neural Networks. CoRR abs/2101.12699 (2021) - [i10]Shuxiao Chen, Koby Crammer, Hangfeng He, Dan Roth, Weijie J. Su:
Weighted Training for Cross-Task Learning. CoRR abs/2105.14095 (2021) - 2020
- [c10]Hangfeng He
QuASE: Question-Answer Driven Sentence Encoding. ACL 2020: 8743-8758 - [c9]Ayal Klein
QANom: Question-Answer driven SRL for Nominalizations. COLING 2020: 3069-3083 - [c8]Hangfeng He
The Local Elasticity of Neural Networks. ICLR 2020 - [c7]Zhun Deng, Hangfeng He, Jiaoyang Huang, Weijie J. Su:
Towards Understanding the Dynamics of the First-Order Adversaries. ICML 2020: 2484-2493 - [c6]Soham Dan, Hangfeng He, Dan Roth:
Understanding Spatial Relations through Multiple Modalities. LREC 2020: 2368-2372 - [c5]Shuxiao Chen, Hangfeng He, Weijie J. Su:
Label-Aware Neural Tangent Kernel: Toward Better Generalization and Local Elasticity. NeurIPS 2020 - [i9]Hangfeng He, Mingyuan Zhang, Qiang Ning, Dan Roth:
Foreshadowing the Benefits of Incidental Supervision. CoRR abs/2006.05500 (2020) - [i8]Soham Dan, Hangfeng He, Dan Roth:
Understanding Spatial Relations through Multiple Modalities. CoRR abs/2007.09551 (2020) - [i7]Zhun Deng, Hangfeng He, Jiaoyang Huang, Weijie J. Su:
Towards Understanding the Dynamics of the First-Order Adversaries. CoRR abs/2010.10650 (2020) - [i6]Shuxiao Chen
Label-Aware Neural Tangent Kernel: Toward Better Generalization and Local Elasticity. CoRR abs/2010.11775 (2020) - [i5]Zhun Deng, Hangfeng He, Weijie J. Su:
Toward Better Generalization Bounds with Locally Elastic Stability. CoRR abs/2010.13988 (2020)
2010 – 2019
- 2019
- [c4]Qiang Ning, Hangfeng He, Chuchu Fan, Dan Roth:
Partial Or Complete, That's The Question. NAACL-HLT (1) 2019: 2190-2200 - [i4]Qiang Ning, Hangfeng He, Chuchu Fan, Dan Roth:
Partial Or Complete, That's The Question. CoRR abs/1906.04937 (2019) - [i3]Hangfeng He, Qiang Ning, Dan Roth:
Incidental Supervision from Question-Answering Signals. CoRR abs/1909.00333 (2019) - [i2]Hangfeng He, Weijie J. Su:
The Local Elasticity of Neural Networks. CoRR abs/1910.06943 (2019) - 2018
- [j1]Jingjing Xu
Cross-Domain and Semisupervised Named Entity Recognition in Chinese Social Media: A Unified Model. IEEE ACM Trans. Audio Speech Lang. Process. 26(11): 2142-2152 (2018) - 2017
- [c3]Hangfeng He, Xu Sun:
A Unified Model for Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media. AAAI 2017: 3216-3222 - [c2]Federico Fancellu, Adam Lopez, Bonnie L. Webber, Hangfeng He
Detecting negation scope is easy, except when it isn't. EACL (2) 2017: 58-63 - [c1]Hangfeng He
F-Score Driven Max Margin Neural Network for Named Entity Recognition in Chinese Social Media. EACL (2) 2017: 713-718 - 2016
- [i1]Hangfeng He, Xu Sun:
F-Score Driven Max Margin Neural Network for Named Entity Recognition in Chinese Social Media. CoRR abs/1611.04234 (2016)
Coauthor Index
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