Jiaming Shen

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 104

Top Venues

Publications

Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin, Jing Nathan Yan, Jialu Liu, Chao Zhang, Michael Bendersky
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning. ACL (1) (2024)
Jiaming Shen, Tianqi Liu, Jialu Liu, Zhen Qin, Jay Pavagadhi, Simon Baumgartner, Michael Bendersky
Multilingual Fine-Grained News Headline Hallucination Detection. CoRR (2024)
Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Haorui Wang, Zhen Qin, Feng Han, Jialu Liu, Simon Baumgartner, Michael Bendersky, Chao Zhang
PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs. CoRR (2024)
Rong Han, Wenbing Huang, Lingxiao Luo, Xinyan Han, Jiaming Shen, Zhiqiang Zhang, Jun Zhou, Ting Chen
HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multitask Learning. CoRR (2024)
Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Haorui Wang, Zhen Qin, Feng Han, Jialu Liu, Simon Baumgartner, Michael Bendersky, Chao Zhang
PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs. ACL (Findings) (2024)
Yunyi Zhang, Ruozhen Yang, Xueqiang Xu, Jinfeng Xiao, Jiaming Shen, Jiawei Han
TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision. CoRR (2024)
Jing Nathan Yan, Tianqi Liu, Justin T. Chiu, Jiaming Shen, Zhen Qin, Yue Yu, Charumathi Lakshmanan, Yair Kurzion, Alexander M. Rush, Jialu Liu, Michael Bendersky
Predicting Text Preference Via Structured Comparative Reasoning. ACL (1) (2024)
Jiaming Shen, Ran Xu, Yennie Jun, Zhen Qin, Tianqi Liu, Carl Yang, Yi Liang, Simon Baumgartner, Michael Bendersky
Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data Generation. CoRR (2024)
Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Jialu Liu, Michael Bendersky, Marc Najork, Chao Zhang
Knowledge Distillation with Perturbed Loss: From a Vanilla Teacher to a Proxy Teacher. KDD (2024)
Tianqi Liu, Zhen Qin, Junru Wu, Jiaming Shen, Misha Khalman, Rishabh Joshi, Yao Zhao, Mohammad Saleh, Simon Baumgartner, Jialu Liu, Peter J. Liu, Xuanhui Wang
LiPO: Listwise Preference Optimization through Learning-to-Rank. CoRR (2024)
Jiaming Shen, Fangjun Liu, Jizhong Shen
Design of current steering logic CMOS circuit. Microelectron. J. 141 (2023)
Boshi Wang, Sewon Min, Xiang Deng, Jiaming Shen, You Wu, Luke Zettlemoyer, Huan Sun
Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters. ACL (1) (2023)
Sizhe Zhou, Suyu Ge, Jiaming Shen, Jiawei Han
Corpus-Based Relation Extraction by Identifying and Refining Relation Patterns. ECML/PKDD (4) (2023)
Jiaming Shen, Kun Hu, Wei Bao, Chang Wen Chen, Zhiyong Wang
Bridging the Gap: Fine-to-Coarse Sketch Interpolation Network for High-Quality Animation Sketch Inbetweening. CoRR (2023)
Jiaying Lu, Jiaming Shen, Bo Xiong, Wenjing Ma, Steffen Staab, Carl Yang
HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting. CoRR (2023)
Rongzhi Zhang, Yue Yu, Jiaming Shen, Xiquan Cui, Chao Zhang
Local Boosting for Weakly-Supervised Learning. CoRR (2023)
Jiaming Shen, Jialu Liu, Daniel Finnie, Negar Rahmati, Michael Bendersky, Marc Najork
"Why is this misleading?": Detecting News Headline Hallucinations with Explanations. CoRR (2023)
Yizhu Jiao, Ming Zhong, Jiaming Shen, Yunyi Zhang, Chao Zhang, Jiawei Han
Unsupervised Event Chain Mining from Multiple Documents. WWW (2023)
Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander J. Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias. NeurIPS (2023)
Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias. CoRR (2023)
Jiaying Lu, Jiaming Shen, Bo Xiong, Wenjing Ma, Steffen Staab, Carl Yang
HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting. SIGIR (2023)
Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Jialu Liu, Michael Bendersky, Marc Najork, Chao Zhang
Do Not Blindly Imitate the Teacher: Using Perturbed Loss for Knowledge Distillation. CoRR (2023)
Yue Yu, Yuchen Zhuang, Rongzhi Zhang, Yu Meng, Jiaming Shen, Chao Zhang
ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval. ACL (Findings) (2023)
Jing Nathan Yan, Tianqi Liu, Justin T. Chiu, Jiaming Shen, Zhen Qin, Yue Yu, Yao Zhao, Charu Lakshmanan, Yair Kurzion, Alexander M. Rush, Jialu Liu, Michael Bendersky
On What Basis? Predicting Text Preference Via Structured Comparative Reasoning. CoRR (2023)
Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin, Jing Nathan Yan, Jialu Liu, Chao Zhang, Michael Bendersky
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning. CoRR (2023)
Rongzhi Zhang, Yue Yu, Jiaming Shen, Xiquan Cui, Chao Zhang
Local Boosting for Weakly-Supervised Learning. KDD (2023)
Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork
Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. KDD (2023)
Yue Yu, Rongzhi Zhang, Ran Xu, Jieyu Zhang, Jiaming Shen, Chao Zhang
Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach. ACL (1) (2023)
Yue Yu, Yuchen Zhuang, Rongzhi Zhang, Yu Meng, Jiaming Shen, Chao Zhang
ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval. CoRR (2023)
Jiaming Shen, Lin Bai, Haijuan Wang, Bo Ji, Wenming Cheng, Guocai Zhang
A Lightweight Anchor-Free Detector Using Cross-Dimensional Interactive Feature Balance for SAR Ship Detection. VSIP (2023)
Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, Michael Bendersky
Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. CoRR (2023)
Jiaming Shen, Jialu Liu, Daniel Finnie, Negar Rahmati, Mike Bendersky, Marc Najork
"Why is this misleading?": Detecting News Headline Hallucinations with Explanations. WWW (2023)
Xiaotao Gu, Yikang Shen, Jiaming Shen, Jingbo Shang, Jiawei Han
Phrase-aware Unsupervised Constituency Parsing. ACL (1) (2022)
Yue Yu, Rongzhi Zhang, Ran Xu, Jieyu Zhang, Jiaming Shen, Chao Zhang
Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach. CoRR (2022)
Dongha Lee, Jiaming Shen, Seongku Kang, Susik Yoon, Jiawei Han, Hwanjo Yu
TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters. WWW (2022)
Yunyi Zhang, Fang Guo, Jiaming Shen, Jiawei Han
Unsupervised Key Event Detection from Massive Text Corpora. KDD (2022)
Dongha Lee, Jiaming Shen, Seonghyeon Lee, Susik Yoon, Hwanjo Yu, Jiawei Han
Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation. EMNLP (Findings) (2022)
Jiaming Shen, Bolin Song, Zirui Wu, Yi Xu
OmniNeRF: Hybriding Omnidirectional Distance and Radiance fields for Neural Surface Reconstruction. CoRR (2022)
Yunyi Zhang, Fang Guo, Jiaming Shen, Jiawei Han
Unsupervised Key Event Detection from Massive Text Corpora. CoRR (2022)
Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork
Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. CoRR (2022)
Boshi Wang, Sewon Min, Xiang Deng, Jiaming Shen, You Wu, Luke Zettlemoyer, Huan Sun
Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters. CoRR (2022)
Yiqing Xie, Jiaming Shen, Sha Li, Yuning Mao, Jiawei Han
Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion. ACL (Findings) (2022)
Dongha Lee, Jiaming Shen, SeongKu Kang, Susik Yoon, Jiawei Han, Hwanjo Yu
TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters. CoRR (2022)
Dongha Lee, Jiaming Shen, Seonghyeon Lee, Susik Yoon, Hwanjo Yu, Jiawei Han
Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation. CoRR (2022)
Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li
Taxonomy Completion via Triplet Matching Network. AAAI (2021)
Jiaming Shen, Jialu Liu, Tianqi Liu, Cong Yu, Jiawei Han
Training ELECTRA Augmented with Multi-word Selection. ACL/IJCNLP (Findings) (2021)
Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li
Taxonomy Completion via Triplet Matching Network. CoRR (2021)
Yiqing Xie, Jiaming Shen, Sha Li, Yuning Mao, Jiawei Han
Eider: Evidence-enhanced Document-level Relation Extraction. CoRR (2021)
Jiaming Shen, Jialu Liu, Tianqi Liu, Cong Yu, Jiawei Han
Training ELECTRA Augmented with Multi-word Selection. CoRR (2021)
Jiaming Shen, Yunyi Zhang, Heng Ji, Jiawei Han
Corpus-based Open-Domain Event Type Induction. CoRR (2021)
Jiaming Shen, Wenda Qiu, Yu Meng, Jingbo Shang, Xiang Ren, Jiawei Han
TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names. NAACL-HLT (2021)
Jiaming Shen, Yunyi Zhang, Heng Ji, Jiawei Han
Corpus-based Open-Domain Event Type Induction. EMNLP (1) (2021)
Xiangchen Song, Jiaming Shen, Jieyu Zhang, Jiawei Han
Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion. CoRR (2021)
Jiaming Shen, Laili Wang, Jialei Zhang
Integrated Scheduling Strategy for Private Electric Vehicles and Electric Taxis. IEEE Trans. Ind. Informatics 17 (3) (2021)
Jiaming Shen, Heng Ji, Jiawei Han
Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding. EMNLP (1) (2020)
Jiaming Shen, Wenda Qiu, Jingbo Shang, Michelle Vanni, Xiang Ren, Jiawei Han
SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery. CoRR (2020)
Wanzheng Zhu, Hongyu Gong, Jiaming Shen, Chao Zhang, Jingbo Shang, Suma Bhat, Jiawei Han
FUSE: Multi-faceted Set Expansion by Coherent Clustering of Skip-Grams. ECML/PKDD (3) (2020)
Jiaxin Huang, Yiqing Xie, Yu Meng, Jiaming Shen, Yunyi Zhang, Jiawei Han
Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion. CoRR (2020)
Jiaming Shen, Zhihong Shen, Chenyan Xiong, Chi Wang, Kuansan Wang, Jiawei Han
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network. CoRR (2020)
Jiaming Shen, Heng Ji, Jiawei Han
Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding. CoRR (2020)
Jiaming Shen, Zhihong Shen, Chenyan Xiong, Chi Wang, Kuansan Wang, Jiawei Han
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network. WWW (2020)
Jialei Zhang, Yunqing Pei, Jiaming Shen, Laili Wang, Tao Ding, Sen Wang
Charging Strategy Unifying Spatial-Temporal Coordination of Electric Vehicles. IEEE Access 8 (2020)
Yunyi Zhang, Jiaming Shen, Jingbo Shang, Jiawei Han
Empower Entity Set Expansion via Language Model Probing. CoRR (2020)
Yue Yu, Yinghao Li, Jiaming Shen, Hao Feng, Jimeng Sun, Chao Zhang
STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths. KDD (2020)
Yue Yu, Yinghao Li, Jiaming Shen, Hao Feng, Jimeng Sun, Chao Zhang
STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths. CoRR (2020)
Yunyi Zhang, Jiaming Shen, Jingbo Shang, Jiawei Han
Empower Entity Set Expansion via Language Model Probing. ACL (2020)
Dominic Seyler, Jiaming Shen, Jinfeng Xiao, Yiren Wang, ChengXiang Zhai
Leveraging Personalized Sentiment Lexicons for Sentiment Analysis. ICTIR (2020)
Jiaming Shen, Wenda Qiu, Jingbo Shang, Michelle Vanni, Xiang Ren, Jiawei Han
SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery. EMNLP (1) (2020)
Jiaxin Huang, Yiqing Xie, Yu Meng, Jiaming Shen, Yunyi Zhang, Jiawei Han
Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion. WWW (2020)
Yu Shi, Jiaming Shen, Yuchen Li, Naijing Zhang, Xinwei He, Zhengzhi Lou, Qi Zhu, Matthew Walker, Myunghwan Kim, Jiawei Han
Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity. CIKM (2019)
Junyi Du, He Jiang, Jiaming Shen, Xiang Ren
Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis. CoRR (2019)
Yu Shi, Jiaming Shen, Yuchen Li, Naijing Zhang, Xinwei He, Zhengzhi Lou, Qi Zhu, Matthew Walker, Myunghwan Kim, Jiawei Han
Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity. CoRR (2019)
Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han
Weakly-Supervised Hierarchical Text Classification. AAAI (2019)
Jiaming Shen, Zeqiu Wu, Dongming Lei, Jingbo Shang, Xiang Ren, Jiawei Han
SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble. CoRR (2019)
Carl Yang, Dai Teng, Siyang Liu, Sayantani Basu, Jieyu Zhang, Jiaming Shen, Chao Zhang, Jingbo Shang, Lance M. Kaplan, Timothy Harratty, Jiawei Han
CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, and Mining. CoRR (2019)
Carl Yang, Lingrui Gan, Zongyi Wang, Jiaming Shen, Jinfeng Xiao, Jiawei Han
Query-Specific Knowledge Summarization with Entity Evolutionary Networks. CoRR (2019)
Carl Yang, Lingrui Gan, Zongyi Wang, Jiaming Shen, Jinfeng Xiao, Jiawei Han
Query-Specific Knowledge Summarization with Entity Evolutionary Networks. CIKM (2019)
Jiaming Shen, Zeqiu Wu, Dongming Lei, Chao Zhang, Xiang Ren, Michelle T. Vanni, Brian M. Sadler, Jiawei Han
HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion. CoRR (2019)
Jingbo Shang, Jiaming Shen, Liyuan Liu, Jiawei Han
Constructing and Mining Heterogeneous Information Networks from Massive Text. KDD (2019)
Junyi Du, He Jiang, Jiaming Shen, Xiang Ren
Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis. ACL (1) (2019)
Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian M. Sadler, Jiawei Han
Mining Entity Synonyms with Efficient Neural Set Generation. AAAI (2019)
Wanzheng Zhu, Hongyu Gong, Jiaming Shen, Chao Zhang, Jingbo Shang, Suma Bhat, Jiawei Han
FUSE: Multi-Faceted Set Expansion by Coherent Clustering of Skip-grams. CoRR (2019)
Yuning Mao, Xiang Ren, Jiaming Shen, Xiaotao Gu, Jiawei Han
End-to-End Reinforcement Learning for Automatic Taxonomy Induction. CoRR (2018)
Chao Zhang, Fangbo Tao, Xiusi Chen, Jiaming Shen, Meng Jiang, Brian M. Sadler, Michelle Vanni, Jiawei Han
TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering. CoRR (2018)
Chao Zhang, Fangbo Tao, Xiusi Chen, Jiaming Shen, Meng Jiang, Brian M. Sadler, Michelle Vanni, Jiawei Han
TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering. KDD (2018)
Jiaming Shen, Jinfeng Xiao, Xinwei He, Jingbo Shang, Saurabh Sinha, Jiawei Han
Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach. CoRR (2018)
Jiaming Shen, Jinfeng Xiao, Xinwei He, Jingbo Shang, Saurabh Sinha, Jiawei Han
Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach. SIGIR (2018)
Jingbo Shang, Tianhang Sun, Jiaming Shen, Xingbang Liu, Anja Gruenheid, Flip Korn, Ádám D. Lelkes, Cong Yu, Jiawei Han
Investigating Rumor News Using Agreement-Aware Search. CoRR (2018)
Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian M. Sadler, Jiawei Han
Mining Entity Synonyms with Efficient Neural Set Generation. CoRR (2018)
Jingbo Shang, Jiaming Shen, Tianhang Sun, Xingbang Liu, Anja Gruenheid, Flip Korn, Ádám D. Lelkes, Cong Yu, Jiawei Han
Investigating Rumor News Using Agreement-Aware Search. CIKM (2018)
Jiaming Shen, Maryam Karimzadehgan, Michael Bendersky, Zhen Qin, Donald Metzler
Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering. CIKM (2018)
Jiaming Shen, Maryam Karimzadehgan, Michael Bendersky, Zhen Qin, Donald Metzler
Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering. CoRR (2018)
Yuning Mao, Xiang Ren, Jiaming Shen, Xiaotao Gu, Jiawei Han
End-to-End Reinforcement Learning for Automatic Taxonomy Induction. ACL (1) (2018)
Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han
Weakly-Supervised Hierarchical Text Classification. CoRR (2018)
Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han
Weakly-Supervised Neural Text Classification. CoRR (2018)
Jiaming Shen, Zeqiu Wu, Dongming Lei, Chao Zhang, Xiang Ren, Michelle T. Vanni, Brian M. Sadler, Jiawei Han
HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion. KDD (2018)
Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han
Weakly-Supervised Neural Text Classification. CIKM (2018)
Qi Zhu, Hongwei Ng, Liyuan Liu, Ziwei Ji, Bingjie Jiang, Jiaming Shen, Huan Gui
Wikidata Vandalism Detection - The Loganberry Vandalism Detector at WSDM Cup 2017. CoRR (2017)
Jiaming Shen, Zeqiu Wu, Dongming Lei, Jingbo Shang, Xiang Ren, Jiawei Han
SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble. ECML/PKDD (1) (2017)
Xiang Ren, Jiaming Shen, Meng Qu, Xuan Wang, Zeqiu Wu, Qi Zhu, Meng Jiang, Fangbo Tao, Saurabh Sinha, David Liem, Peipei Ping, Richard M. Weinshilboum, Jiawei Han
Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences. ACL (System Demonstrations) (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jiaming Shen