Hangfeng He - RankMe

53 papers A* 11B 2Journal 29Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Ranking Human and LLM Texts Using Locality Statistics. EACL (Findings) Yiyang Wang, Chen Ding, Hangfeng He
2026	J	`jnl`	Replicating Human Motivated Reasoning Studies with LLMs. CoRR Neeley Pate, Adiba Mahbub Proma, Hangfeng He, James Druckman, Daniel Molden, Gourab Ghoshal, Ehsan Hoque
2025	J	`jnl`	An Empirical Analysis of LLMs for Countering Misinformation. CoRR Adiba Mahbub Proma, Neeley Pate, James Druckman, Gourab Ghoshal, Hangfeng He, Mohammed E. Hoque
2025	A*	`conf`	Analyzing Uncertainty of LLM-as-a-Judge: Interval Evaluations with Conformal Prediction. EMNLP Huanxin Sheng, Xinyi Liu, Hangfeng He, Jieyu Zhao, Jian Kang
2025	J	`jnl`	Analyzing Uncertainty of LLM-as-a-Judge: Interval Evaluations with Conformal Prediction. CoRR Huanxin Sheng, Xinyi Liu, Hangfeng He, Jieyu Zhao, Jian Kang
2025	—	`conf`	Mitigating Hallucinations in Multimodal Spatial Relations through Constraint-Aware Prompting. NAACL (Findings) Jiarui Wu, Zhuo Liu, Hangfeng He
2025	J	`jnl`	Mitigating Hallucinations in Multimodal Spatial Relations through Constraint-Aware Prompting. CoRR Jiarui Wu, Zhuo Liu, Hangfeng He
2025	A*	`conf`	On the Role of Model Prior in Real-World Inductive Reasoning. EMNLP Zhuo Liu, Ding Yu, Hangfeng He
2025	—	`conf`	Same Company, Same Signal: The Role of Identity in Earnings Call Transcripts. ACL (Findings) Ding Yu, Zhuo Liu, Hangfeng He
2025	—	`conf`	The Role of Model Confidence on Bias Effects in Measured Uncertainties for Vision-Language Models. EMNLP (Findings) Xinyi Liu, Weiguang Wang, Hangfeng He
2025	J	`jnl`	The Role of Model Confidence on Bias Effects in Measured Uncertainties. CoRR Xinyi Liu, Weiguang Wang, Hangfeng He
2025	A*	`conf`	TreeRare: Syntax Tree-Guided Retrieval and Reasoning for Knowledge-Intensive Question Answering. EMNLP Boyi Zhang, Zhuo Liu, Hangfeng He
2025	J	`jnl`	TreeRare: Syntax Tree-Guided Retrieval and Reasoning for Knowledge-Intensive Question Answering. CoRR Boyi Zhang, Zhuo Liu, Hangfeng He
2024	J	`jnl`	A Law of Next-Token Prediction in Large Language Models. CoRR Hangfeng He, Weijie J. Su
2024	—	`conf`	An Empirical Analysis on Large Language Models in Debate Evaluation. ACL (Short Papers) Xinyi Liu, Pinxin Liu, Hangfeng He
2024	J	`jnl`	An Empirical Analysis on Large Language Models in Debate Evaluation. CoRR Xinyi Liu, Pinxin Liu, Hangfeng He
2024	J	`jnl`	MMCOMPOSITION: Revisiting the Compositionality of Pre-trained Vision-Language Models. CoRR Hang Hua, Yunlong Tang, Ziyun Zeng, Liangliang Cao, Zhengyuan Yang, Hangfeng He, Chenliang Xu, Jiebo Luo
2024	J	`jnl`	On the Role of Model Prior in Real-World Inductive Reasoning. CoRR Zhuo Liu, Ding Yu, Hangfeng He
2024	J	`jnl`	Robust Learning Rate Selection for Stochastic Optimization via Splitting Diagnostic. Trans. Mach. Learn. Res. Matteo Sordello, Niccolò Dalmasso, Hangfeng He, Weijie J. Su
2024	J	`jnl`	Same Company, Same Signal: The Role of Identity in Earnings Call Transcripts. CoRR Ding Yu, Zhuo Liu, Hangfeng He
2024	—	`conf`	SocREval: Large Language Models with the Socratic Method for Reference-free Reasoning Evaluation. NAACL-HLT (Findings) Hangfeng He, Hongming Zhang, Dan Roth
2024	—	`conf`	Unveiling Divergent Inductive Biases of LLMs on Temporal Data. NAACL (Short Papers) Sindhu Kishore, Hangfeng He
2024	J	`jnl`	Unveiling Divergent Inductive Biases of LLMs on Temporal Data. CoRR Sindhu Kishore, Hangfeng He
2023	A*	`conf`	On Regularization and Inference with Label Constraints. ICML Kaifu Wang, Hangfeng He, Tin D. Nguyen, Piyush Kumar, Dan Roth
2023	J	`jnl`	On Regularization and Inference with Label Constraints. CoRR Kaifu Wang, Hangfeng He, Tin D. Nguyen, Piyush Kumar, Dan Roth
2023	J	`jnl`	Rethinking with Retrieval: Faithful Large Language Model Inference. CoRR Hangfeng He, Hongming Zhang, Dan Roth
2023	J	`jnl`	SocREval: Large Language Models with the Socratic Method for Reference-Free Reasoning Evaluation. CoRR Hangfeng He, Hongming Zhang, Dan Roth
2022	J	`jnl`	A Law of Data Separation in Deep Learning. CoRR Hangfeng He, Weijie J. Su
2022	A*	`conf`	Weighted Training for Cross-Task Learning. ICLR Shuxiao Chen, Koby Crammer, Hangfeng He, Dan Roth, Weijie J. Su
2021	—	`conf`	Foreseeing the Benefits of Incidental Supervision. EMNLP (1) Hangfeng He, Mingyuan Zhang, Qiang Ning, Dan Roth
2021	J	`jnl`	Layer-Peeled Model: Toward Understanding Well-Trained Deep Neural Networks. CoRR Cong Fang, Hangfeng He, Qi Long, Weijie J. Su
2021	A*	`conf`	Toward Better Generalization Bounds with Locally Elastic Stability. ICML Zhun Deng, Hangfeng He, Weijie J. Su
2021	J	`jnl`	Weighted Training for Cross-Task Learning. CoRR Shuxiao Chen, Koby Crammer, Hangfeng He, Dan Roth, Weijie J. Su
2020	J	`jnl`	Foreshadowing the Benefits of Incidental Supervision. CoRR Hangfeng He, Mingyuan Zhang, Qiang Ning, Dan Roth
2020	A*	`conf`	Label-Aware Neural Tangent Kernel: Toward Better Generalization and Local Elasticity. NeurIPS Shuxiao Chen, Hangfeng He, Weijie J. Su
2020	J	`jnl`	Label-Aware Neural Tangent Kernel: Toward Better Generalization and Local Elasticity. CoRR Shuxiao Chen, Hangfeng He, Weijie J. Su
2020	B	`conf`	QANom: Question-Answer driven SRL for Nominalizations. COLING Ayal Klein, Jonathan Mamou, Valentina Pyatkin, Daniela Stepanov, Hangfeng He, Dan Roth, Luke Zettlemoyer, Ido Dagan
2020	A*	`conf`	QuASE: Question-Answer Driven Sentence Encoding. ACL Hangfeng He, Qiang Ning, Dan Roth
2020	A*	`conf`	The Local Elasticity of Neural Networks. ICLR Hangfeng He, Weijie J. Su
2020	J	`jnl`	Toward Better Generalization Bounds with Locally Elastic Stability. CoRR Zhun Deng, Hangfeng He, Weijie J. Su
2020	A*	`conf`	Towards Understanding the Dynamics of the First-Order Adversaries. ICML Zhun Deng, Hangfeng He, Jiaoyang Huang, Weijie J. Su
2020	J	`jnl`	Towards Understanding the Dynamics of the First-Order Adversaries. CoRR Zhun Deng, Hangfeng He, Jiaoyang Huang, Weijie J. Su
2020	B	`conf`	Understanding Spatial Relations through Multiple Modalities. LREC Soham Dan, Hangfeng He, Dan Roth
2020	J	`jnl`	Understanding Spatial Relations through Multiple Modalities. CoRR Soham Dan, Hangfeng He, Dan Roth
2019	J	`jnl`	Incidental Supervision from Question-Answering Signals. CoRR Hangfeng He, Qiang Ning, Dan Roth
2019	—	`conf`	Partial Or Complete, That's The Question. NAACL-HLT (1) Qiang Ning, Hangfeng He, Chuchu Fan, Dan Roth
2019	J	`jnl`	Partial Or Complete, That's The Question. CoRR Qiang Ning, Hangfeng He, Chuchu Fan, Dan Roth
2019	J	`jnl`	The Local Elasticity of Neural Networks. CoRR Hangfeng He, Weijie J. Su
2018	J	`jnl`	Cross-Domain and Semisupervised Named Entity Recognition in Chinese Social Media: A Unified Model. IEEE ACM Trans. Audio Speech Lang. Process. Jingjing Xu, Hangfeng He, Xu Sun, Xuancheng Ren, Sujian Li
2017	A*	`conf`	A Unified Model for Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media. AAAI Hangfeng He, Xu Sun
2017	—	`conf`	Detecting negation scope is easy, except when it isn't. EACL (2) Federico Fancellu, Adam Lopez, Bonnie L. Webber, Hangfeng He
2017	—	`conf`	F-Score Driven Max Margin Neural Network for Named Entity Recognition in Chinese Social Media. EACL (2) Hangfeng He, Xu Sun
2016	J	`jnl`	F-Score Driven Max Margin Neural Network for Named Entity Recognition in Chinese Social Media. CoRR Hangfeng He, Xu Sun