Cheng Li

According to our database, Cheng Li authored at least 36 papers between 2013 and 2024.

Collaborative distances:

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

2024

Unlocking the 'Why' of Buying: Introducing a New Dataset and Benchmark for Purchase Reason and Post-Purchase Experience.

Tao Chen, Siqi Zuo, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky

CoRR, 2024

Learning to Rewrite Prompts for Personalized Text Generation.

Cheng Li, Mingyang Zhang, Qiaozhu Mei, Weize Kong, Michael Bendersky

Proceedings of the ACM on Web Conference 2024, 2024

WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society.

Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

The Second Workshop on Large Language Models for Individuals, Groups, and Society.

Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang, Xingjian Zhang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach.

Zhuowan Li, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Bridging the Preference Gap between Retrievers and LLMs.

Zixuan Ke, Weize Kong, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Automated Evaluation of Personalized Text Generation using Large Language Models.

Yaqing Wang, Jiepu Jiang, Mingyang Zhang, Cheng Li, Yi Liang, Qiaozhu Mei, Michael Bendersky

CoRR, 2023

Automatic Prompt Rewriting for Personalized Text Generation.

Cheng Li, Mingyang Zhang, Qiaozhu Mei, Weize Kong, Michael Bendersky

CoRR, 2023

Teach LLMs to Personalize - An Approach inspired by Writing Education.

Cheng Li, Mingyang Zhang, Qiaozhu Mei, Yaqing Wang, Spurthi Amba Hombaiah, Yi Liang, Michael Bendersky

CoRR, 2023

Job Type Extraction for Service Businesses.

Cheng Li, Yaping Qi, Hayk Zakaryan, Mingyang Zhang, Michael Bendersky, Yonghua Wu, Marc Najork

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

SparseEmbed: Learning Sparse Lexical Representations with Contextual Embeddings for Retrieval.

Weize Kong, Jeffrey M. Dudek, Cheng Li, Mingyang Zhang, Michael Bendersky

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

End-to-End Query Term Weighting.

Karan Samel, Cheng Li, Weize Kong, Tao Chen, Mingyang Zhang, Shaleen Kumar Gupta, Swaraj Khadanga, Wensong Xu, Xingyu Wang, Kashyap Kolipaka, Michael Bendersky, Marc Najork

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learning Sparse Lexical Representations Over Specified Vocabularies for Retrieval.

Jeffrey M. Dudek, Weize Kong, Cheng Li, Mingyang Zhang, Michael Bendersky

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Multi-Aspect Dense Retrieval.

Weize Kong, Swaraj Khadanga, Cheng Li, Shaleen Kumar Gupta, Mingyang Zhang, Wensong Xu, Michael Bendersky

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

LAMPRET: Layout-Aware Multimodal PreTraining for Document Understanding.

Te-Lin Wu, Cheng Li, Mingyang Zhang, Tao Chen, Spurthi Amba Hombaiah, Michael Bendersky

CoRR, 2021

2020

Leveraging Semantic and Lexical Matching to Improve the Recall of Document Retrieval Systems: A Hybrid Approach.

Saar Kuzi, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork

CoRR, 2020

Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Document Matching.

Liu Yang, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork

CoRR, 2020

Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document Matching.

Liu Yang, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Semantic Text Matching for Long-Form Documents.

Jyun-Yu Jiang, Mingyang Zhang, Cheng Li, Michael Bendersky, Nadav Golbandi, Marc Najork

Proceedings of the World Wide Web Conference, 2019

Addressing Trust Bias for Unbiased Learning-to-Rank.

Aman Agarwal, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork

Proceedings of the World Wide Web Conference, 2019

Estimating Position Bias without Intrusive Interventions.

Aman Agarwal, Ivan Zaitsev, Xuanhui Wang, Cheng Li, Marc Najork, Thorsten Joachims

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Multi-view Embedding-based Synonyms for Email Search.

Cheng Li, Mingyang Zhang, Michael Bendersky, Hongbo Deng, Donald Metzler, Marc Najork

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank.

Rama Kumar Pasumarthi, Sebastian Bruch, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork, Jan Pfeifer, Nadav Golbandi, Rohan Anil, Stephan Wolf

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Offline Comparison of Ranking Functions using Randomized Data.

Aman Agarwal, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork

CoRR, 2018

Find the Conversation Killers: A Predictive Study of Thread-ending Posts.

Yunhao Jiao, Cheng Li, Fei Wu, Qiaozhu Mei

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Identify Shifts of Word Semantics through Bayesian Surprise.

Zhuofeng Wu, Cheng Li, Zhe Zhao, Fei Wu, Qiaozhu Mei

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Joint Modeling of Text and Networks for Cascade Prediction.

Cheng Li, Xiaoxiao Guo, Qiaozhu Mei

Proceedings of the Twelfth International Conference on Web and Social Media, 2018

The LambdaLoss Framework for Ranking Metric Optimization.

Xuanhui Wang, Cheng Li, Nadav Golbandi, Michael Bendersky, Marc Najork

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

DeepCas: An End-to-end Predictor of Information Cascades.

Cheng Li, Jiaqi Ma, Xiaoxiao Guo, Qiaozhu Mei

Proceedings of the 26th International Conference on World Wide Web, 2017

Deep Memory Networks for Attitude Identification.

Cheng Li, Xiaoxiao Guo, Qiaozhu Mei

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Related Event Discovery.

Cheng Li, Michael Bendersky, Vijay Garg, Sujith Ravi

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

2016

DeepGraph: Graph Structure Predicts Network Growth.

Cheng Li, Xiaoxiao Guo, Qiaozhu Mei

CoRR, 2016

Multiple Queries as Bandit Arms.

Cheng Li, Paul Resnick, Qiaozhu Mei

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Click-through Prediction for Advertising in Twitter Timeline.

Cheng Li, Yue Lu, Qiaozhu Mei, Dong Wang, Sandeep Pandey

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

ReQ-ReC: high recall retrieval with query pooling and interactive classification.

Cheng Li, Yue Wang, Paul Resnick, Qiaozhu Mei

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

2013

A User-in-the-Loop Process for Investigational Search: Foreseer in TREC 2013 Microblog Track.

Cheng Li, Yue Wang, Qiaozhu Mei

Proceedings of The Twenty-Second Text REtrieval Conference, 2013