Le Yan - RankMe

25 papers A* 7A 2Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adapting Decoder-Based Language Models for Diverse Encoder Downstream Tasks. CoRR Paul Suganthan, Fedor Moiseev, Le Yan, Junru Wu, Jianmo Ni, Jay Han, Imed Zitouni, Enrique Alfonseca, Xuanhui Wang, Zhe Dong
2025	J	`jnl`	Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation. CoRR Junru Wu, Le Yan, Zhen Qin, Honglei Zhuang, Paul Suganthan G. C., Tianqi Liu, Zhe Dong, Xuanhui Wang, Harrie Oosterhuis
2025	J	`jnl`	Impact of fit between knowledge potential and organizational routine updating on subsidiaries' new product development performance. J. Knowl. Manag. Le Yan, Wei Li, Jiawen Hou, Shizheng Tan
2025	A	`conf`	MCRanker: Generating Diverse Criteria On-the-Fly to Improve Pointwise LLM Rankers. WSDM Fang Guo, Wenyu Li, Honglei Zhuang, Yun Luo, Yafu Li, Le Yan, Qi Zhu, Yue Zhang
2025	J	`jnl`	Synergistic Systems of Digitalization and Urbanization in Driving Urban Green Development: A Configurational Analysis of China's Yellow River Basin. Syst. Shizheng Tan, Wei Li, Xiaoguang Liu, Pengfei Li, Le Yan, Chen Liang
2024	—	`conf`	Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels. NAACL (Short Papers) Honglei Zhuang, Zhen Qin, Kai Hui, Junru Wu, Le Yan, Xuanhui Wang, Michael Bendersky
2024	A*	`conf`	Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing. EMNLP Le Yan, Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xuanhui Wang, Michael Bendersky, Harrie Oosterhuis
2024	J	`jnl`	Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing. CoRR Le Yan, Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xuanhui Wang, Michael Bendersky, Harrie Oosterhuis
2024	J	`jnl`	Generating Diverse Criteria On-the-Fly to Improve Point-wise LLM Rankers. CoRR Fang Guo, Wenyu Li, Honglei Zhuang, Yun Luo, Yafu Li, Le Yan, Yue Zhang
2024	—	`conf`	Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. NAACL-HLT (Findings) Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Le Yan, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, Michael Bendersky
2023	J	`jnl`	Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels. CoRR Honglei Zhuang, Zhen Qin, Kai Hui, Junru Wu, Le Yan, Xuanhui Wang, Michael Bendersky
2023	J	`jnl`	Learning to Rank when Grades Matter. CoRR Le Yan, Zhen Qin, Gil I. Shamir, Dong Lin, Xuanhui Wang, Mike Bendersky
2023	A*	`conf`	RD-Suite: A Benchmark for Ranking Distillation. NeurIPS Zhen Qin, Rolf Jagerman, Rama Kumar Pasumarthi, Honglei Zhuang, He Zhang, Aijun Bai, Kai Hui, Le Yan, Xuanhui Wang
2023	J	`jnl`	RD-Suite: A Benchmark for Ranking Distillation. CoRR Zhen Qin, Rolf Jagerman, Rama Kumar Pasumarthi, Honglei Zhuang, He Zhang, Aijun Bai, Kai Hui, Le Yan, Xuanhui Wang
2023	A	`conf`	Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance. CIKM Aijun Bai, Rolf Jagerman, Zhen Qin, Le Yan, Pratyush Kar, Bing-Rong Lin, Xuanhui Wang, Michael Bendersky, Marc Najork
2023	A*	`conf`	Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. KDD Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork
2022	A*	`conf`	Revisiting Two-tower Models for Unbiased Learning to Rank. SIGIR Le Yan, Zhen Qin, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
2022	A*	`conf`	Scale Calibration of Deep Ranking Models. KDD Le Yan, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork
2022	J	`jnl`	Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. CoRR Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork
2021	A*	`conf`	Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees? ICLR Zhen Qin, Le Yan, Honglei Zhuang, Yi Tay, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky, Marc Najork
2021	J	`jnl`	Born Again Neural Rankers. CoRR Zhen Qin, Le Yan, Yi Tay, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
2021	A*	`conf`	Diversification-Aware Learning to Rank using Distributed Representation. WWW Le Yan, Zhen Qin, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky
2021	J	`jnl`	Rank4Class: A Ranking Formulation for Multiclass Classification. CoRR Nan Wang, Zhen Qin, Le Yan, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
2019	J	`jnl`	Event-triggered set-membership filtering for discrete-time memristive neural networks subject to measurement saturation and fadings. Neurocomputing Le Yan, Sunjie Zhang, Guoliang Wei, Shuai Liu
2017	J	`jnl`	H Neurocomputing Le Yan, Sunjie Zhang, Derui Ding, Yurong Liu, Fuad E. Alsaadi