Cheng Li - RankMe

46 papers A* 15A 9Journal 18Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Pathways of Thoughts: Multi-Directional Thinking for Long-form Personalized Question Answering. WWW Alireza Salemi, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Zhuowan Li, Spurthi Amba Hombaiah, Weize Kong, Tao Chen, Hamed Zamani, Michael Bendersky
2025	J	`jnl`	Pathways of Thoughts: Multi-Directional Thinking for Long-form Personalized Question Answering. CoRR Alireza Salemi, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Zhuowan Li, Spurthi Amba Hombaiah, Weize Kong, Tao Chen, Hamed Zamani, Michael Bendersky
2025	J	`jnl`	Reasoning-Enhanced Self-Training for Long-Form Personalized Text Generation. CoRR Alireza Salemi, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Weize Kong, Tao Chen, Zhuowan Li, Michael Bendersky, Hamed Zamani
2024	—	`conf`	Bridging the Preference Gap between Retrievers and LLMs. ACL (1) Zixuan Ke, Weize Kong, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky
2024	J	`jnl`	Bridging the Preference Gap between Retrievers and LLMs. CoRR Zixuan Ke, Weize Kong, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky
2024	A*	`conf`	Learning to Rewrite Prompts for Personalized Text Generation. WWW Cheng Li, Mingyang Zhang, Qiaozhu Mei, Weize Kong, Michael Bendersky
2024	—	`conf`	Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach. EMNLP (Industry Track) Zhuowan Li, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky
2024	J	`jnl`	Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach. CoRR Zhuowan Li, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky
2024	A*	`conf`	The Second Workshop on Large Language Models for Individuals, Groups, and Society. SIGIR Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang, Xingjian Zhang
2024	J	`jnl`	Unlocking the 'Why' of Buying: Introducing a New Dataset and Benchmark for Purchase Reason and Post-Purchase Experience. CoRR Tao Chen, Siqi Zuo, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky
2024	A	`conf`	WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society. WSDM Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang
2023	J	`jnl`	Automated Evaluation of Personalized Text Generation using Large Language Models. CoRR Yaqing Wang, Jiepu Jiang, Mingyang Zhang, Cheng Li, Yi Liang, Qiaozhu Mei, Michael Bendersky
2023	J	`jnl`	Automatic Prompt Rewriting for Personalized Text Generation. CoRR Cheng Li, Mingyang Zhang, Qiaozhu Mei, Weize Kong, Michael Bendersky
2023	A*	`conf`	End-to-End Query Term Weighting. KDD 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
2023	—	`conf`	Job Type Extraction for Service Businesses. WWW (Companion Volume) Cheng Li, Yaping Qi, Hayk Zakaryan, Mingyang Zhang, Michael Bendersky, Yonghua Wu, Marc Najork
2023	A	`conf`	Learning Sparse Lexical Representations Over Specified Vocabularies for Retrieval. CIKM Jeffrey M. Dudek, Weize Kong, Cheng Li, Mingyang Zhang, Michael Bendersky
2023	A*	`conf`	SparseEmbed: Learning Sparse Lexical Representations with Contextual Embeddings for Retrieval. SIGIR Weize Kong, Jeffrey M. Dudek, Cheng Li, Mingyang Zhang, Michael Bendersky
2023	J	`jnl`	Teach LLMs to Personalize - An Approach inspired by Writing Education. CoRR Cheng Li, Mingyang Zhang, Qiaozhu Mei, Yaqing Wang, Spurthi Amba Hombaiah, Yi Liang, Michael Bendersky
2022	A*	`conf`	Multi-Aspect Dense Retrieval. KDD Weize Kong, Swaraj Khadanga, Cheng Li, Shaleen Kumar Gupta, Mingyang Zhang, Wensong Xu, Michael Bendersky
2021	J	`jnl`	LAMPRET: Layout-Aware Multimodal PreTraining for Document Understanding. CoRR Te-Lin Wu, Cheng Li, Mingyang Zhang, Tao Chen, Spurthi Amba Hombaiah, Michael Bendersky
2020	J	`jnl`	Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Document Matching. CoRR Liu Yang, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork
2020	A	`conf`	Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document Matching. CIKM Liu Yang, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork
2020	J	`jnl`	Leveraging Semantic and Lexical Matching to Improve the Recall of Document Retrieval Systems: A Hybrid Approach. CoRR Saar Kuzi, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork
2019	A*	`conf`	Addressing Trust Bias for Unbiased Learning-to-Rank. WWW Aman Agarwal, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork
2019	A	`conf`	Estimating Position Bias without Intrusive Interventions. WSDM Aman Agarwal, Ivan Zaitsev, Xuanhui Wang, Cheng Li, Marc Najork, Thorsten Joachims
2019	A*	`conf`	Multi-view Embedding-based Synonyms for Email Search. SIGIR Cheng Li, Mingyang Zhang, Michael Bendersky, Hongbo Deng, Donald Metzler, Marc Najork
2019	A*	`conf`	Semantic Text Matching for Long-Form Documents. WWW Jyun-Yu Jiang, Mingyang Zhang, Cheng Li, Michael Bendersky, Nadav Golbandi, Marc Najork
2019	A*	`conf`	TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank. KDD Rama Kumar Pasumarthi, Sebastian Bruch, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork, Jan Pfeifer, Nadav Golbandi, Rohan Anil, Stephan Wolf
2018	J	`jnl`	Estimating Position Bias without Intrusive Interventions. CoRR Aman Agarwal, Ivan Zaitsev, Xuanhui Wang, Cheng Li, Marc Najork, Thorsten Joachims
2018	A*	`conf`	Find the Conversation Killers: A Predictive Study of Thread-ending Posts. WWW Yunhao Jiao, Cheng Li, Fei Wu, Qiaozhu Mei
2018	A*	`conf`	Identify Shifts of Word Semantics through Bayesian Surprise. SIGIR Zhuofeng Wu, Cheng Li, Zhe Zhao, Fei Wu, Qiaozhu Mei
2018	A	`conf`	Joint Modeling of Text and Networks for Cascade Prediction. ICWSM Cheng Li, Xiaoxiao Guo, Qiaozhu Mei
2018	J	`jnl`	Offline Comparison of Ranking Functions using Randomized Data. CoRR Aman Agarwal, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork
2018	J	`jnl`	TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank. CoRR Rama Kumar Pasumarthi, Xuanhui Wang, Cheng Li, Sebastian Bruch, Michael Bendersky, Marc Najork, Jan Pfeifer, Nadav Golbandi, Rohan Anil, Stephan Wolf
2018	A	`conf`	The LambdaLoss Framework for Ranking Metric Optimization. CIKM Xuanhui Wang, Cheng Li, Nadav Golbandi, Michael Bendersky, Marc Najork
2017	A	`conf`	Deep Memory Networks for Attitude Identification. WSDM Cheng Li, Xiaoxiao Guo, Qiaozhu Mei
2017	J	`jnl`	Deep Memory Networks for Attitude Identification. CoRR Cheng Li, Xiaoxiao Guo, Qiaozhu Mei
2017	A*	`conf`	DeepCas: An End-to-end Predictor of Information Cascades. WWW Cheng Li, Jiaqi Ma, Xiaoxiao Guo, Qiaozhu Mei
2017	J	`jnl`	Find the Conversation Killers: a Predictive Study of Thread-ending Posts. CoRR Yunhao Jiao, Cheng Li, Fei Wu, Qiaozhu Mei
2017	A	`conf`	Related Event Discovery. WSDM Cheng Li, Michael Bendersky, Vijay Garg, Sujith Ravi
2016	J	`jnl`	DeepCas: an End-to-end Predictor of Information Cascades. CoRR Cheng Li, Jiaqi Ma, Xiaoxiao Guo, Qiaozhu Mei
2016	J	`jnl`	DeepGraph: Graph Structure Predicts Network Growth. CoRR Cheng Li, Xiaoxiao Guo, Qiaozhu Mei
2016	A	`conf`	Multiple Queries as Bandit Arms. CIKM Cheng Li, Paul Resnick, Qiaozhu Mei
2015	A*	`conf`	Click-through Prediction for Advertising in Twitter Timeline. KDD Cheng Li, Yue Lu, Qiaozhu Mei, Dong Wang, Sandeep Pandey
2014	A*	`conf`	ReQ-ReC: high recall retrieval with query pooling and interactive classification. SIGIR Cheng Li, Yue Wang, Paul Resnick, Qiaozhu Mei
2013	—	`conf`	A User-in-the-Loop Process for Investigational Search: Foreseer in TREC 2013 Microblog Track. TREC Cheng Li, Yue Wang, Qiaozhu Mei