CBC: Clustering Based Text Classification Requiring Minimal Labeled Data. - Hua-Jun Zeng; Xuanhui Wang; Zheng Chen 001; Hongjun Lu; Wei-Ying Ma (ICDM, 2003)

Web page clustering enhanced by summarization. - Xuanhui Wang; Dou Shen; Hua-Jun Zeng; Zheng Chen 001; Wei-Ying Ma (CIKM, 2004)

Accurate language model estimation with document expansion. - Tao Tao; Xuanhui Wang; Qiaozhu Mei; ChengXiang Zhai (CIKM, 2005)

Dirichlet PageRank. - Xuanhui Wang; Azadeh Shakery; Tao Tao (SIGIR, 2005)

UIUC/MUSC at TREC 2005 Genomics Track. - ChengXiang Zhai; Xu Ling; Xin He 001; Atulya Velivelli; Xuanhui Wang; Hui Fang 001; Azadeh Shakery; Xinghua Lu 001 (TREC, 2005)

Have things changed now?: an empirical study of bug characteristics in modern open source software. - Zhenmin Li; Lin Tan 001; Xuanhui Wang; Shan Lu 001; Yuanyuan Zhou 001; Chengxiang Zhai (ASID, 2006)

Subjectivity Categorization of Weblog with Part-of-Speech Based Smoothing. - Shen Huang; Jian-Tao Sun; Xuanhui Wang; Hua-Jun Zeng; Zheng Chen 001 (ICDM, 2006)

Language Model Information Retrieval with Document Expansion. - Tao Tao; Xuanhui Wang; Qiaozhu Mei; ChengXiang Zhai (HLT-NAACL, 2006)

Latent semantic analysis for multiple-type interrelated data objects. - Xuanhui Wang; Jian-Tao Sun; Zheng Chen 001; ChengXiang Zhai (SIGIR, 2006)

CWS: a comparative web search system. - Jian-Tao Sun; Xuanhui Wang; Dou Shen; Hua-Jun Zeng; Zheng Chen 001 (WWW, 2006)

Mining clickthrough data for collaborative web search. - Jian-Tao Sun; Xuanhui Wang; Dou Shen; Hua-Jun Zeng; Zheng Chen 001 (WWW, 2006)

Improve retrieval accuracy for difficult queries using negative feedback. - Xuanhui Wang; Hui Fang 001; ChengXiang Zhai (CIKM, 2007)

Shine: search heterogeneous interrelated entities. - Xuanhui Wang; Jian-Tao Sun; Zheng Chen 001 (CIKM, 2007)

Detect and Track Latent Factors with Online Nonnegative Matrix Factorization. - Bin Cao 001; Dou Shen; Jian-Tao Sun; Xuanhui Wang; Qiang Yang 001; Zheng Chen 001 (IJCAI, 2007)

Mining correlated bursty topic patterns from coordinated text streams. - Xuanhui Wang; ChengXiang Zhai; Xiao Hu 001; Richard Sproat (KDD, 2007)

Learn from web search logs to organize search results. - Xuanhui Wang; ChengXiang Zhai (SIGIR, 2007)

Instant Web Retrieval for Instance-Attribute Queries. - Yi-Ting Chou; Shui-Lung Chuang; Xuanhui Wang (Web Intelligence, 2007)

Mining term association patterns from search logs for effective query reformulation. - Xuanhui Wang; ChengXiang Zhai (CIKM, 2008)

A study of methods for negative relevance feedback. - Xuanhui Wang; Hui Fang 001; ChengXiang Zhai (SIGIR, 2008)

DirichletRank: Solving the zero-one gap problem of PageRank. - Xuanhui Wang; Tao Tao; Jian-Tao Sun; Azadeh Shakery; Chengxiang Zhai (ACM Trans. Inf. Syst., 2008)

Beyond hyperlinks: organizing information footprints in search logs to support effective browsing. - Xuanhui Wang; Bin Tan; Azadeh Shakery; ChengXiang Zhai (CIKM, 2009)

Probabilistic dyadic data analysis with local and global consistency. - Deng Cai 001; Xuanhui Wang; Xiaofei He 001 (ICML, 2009)

Locality Preserving Nonnegative Matrix Factorization. - Deng Cai 001; Xiaofei He 001; Xuanhui Wang; Hujun Bao; Jiawei Han 001 (IJCAI, 2009)

Mining broad latent query aspects from search sessions. - Xuanhui Wang; Deepayan Chakrabarti; Kunal Punera (KDD, 2009)

Massive Implicit Feedback: Organizing Search Logs into Topic Maps for Collaborative Surfing. - Xuanhui Wang; ChengXiang Zhai (UIIR@SIGIR, 2009)

Improving Web Search for Difficult Queries - Xuanhui Wang (2009)

University of Delaware at Diverstiy Task of Web Track 2010. - Wei Zheng 007; Hui Fang 001; Xuanhui Wang (TREC, 2010)

An exploration of pattern-based subtopic modeling for search result diversification. - Wei Zheng 007; Xuanhui Wang; Hui Fang 001; Hong Cheng 001 (JCDL, 2011)

Click shaping to optimize multiple objectives. - Deepak Agarwal; Bee-Chung Chen; Pradheep Elango; Xuanhui Wang (KDD, 2011)

Learning to re-rank web search results with multiple pairwise features. - Changsung Kang; Xuanhui Wang; Jiang Chen; Ciya Liao; Yi Chang 001; Belle L. Tseng; Zhaohui Zheng 001 (WSDM, 2011)

Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms. - Lihong Li 001; Wei Chu; John Langford 001; Xuanhui Wang (WSDM, 2011)

Learning to model relatedness for news recommendation. - Yuanhua Lv; Taesup Moon; Pranam Kolari; Zhaohui Zheng 001; Xuanhui Wang; Yi Chang 001 (WWW, 2011)

Modeling Perceived Relevance for Tail Queries without Click-Through Data - Changsung Kang; Xiaotong Lin; Xuanhui Wang; Yi Chang 001; Belle L. Tseng (CoRR, 2011)

Multi-faceted ranking of news articles using post-read actions. - Deepak Agarwal; Bee-Chung Chen; Xuanhui Wang (CIKM, 2012)

Personalized click shaping through lagrangian duality for online recommendation. - Deepak Agarwal; Bee-Chung Chen; Pradheep Elango; Xuanhui Wang (SIGIR, 2012)

Vote calibration in community question-answering systems. - Bee-Chung Chen; Anirban Dasgupta 001; Xuanhui Wang; Jie Yang 015 (SIGIR, 2012)

Impact of Spam Exposure on User Engagement. - Anirban Dasgupta 001; Kunal Punera; Justin M. Rao; Xuanhui Wang (USENIX Security Symposium, 2012)

Learning to rank with multi-aspect relevance for vertical search. - Changsung Kang; Xuanhui Wang; Yi Chang 001; Belle L. Tseng (WSDM, 2012)

Model news relatedness through user comments. - Xuanhui Wang; Jiang Bian 002; Yi Chang 001; Belle L. Tseng (WWW (Companion Volume), 2012)

Diversifying Search Results through Pattern-Based Subtopic Modeling. - Wei Zheng 007; Hui Fang 001; Hong Cheng 001; Xuanhui Wang (Int. J. Semantic Web Inf. Syst., 2012)

Coverage-based search result diversification. - Wei Zheng 007; Xuanhui Wang; Hui Fang 001; Hong Cheng 001 (Inf. Retr., 2012)

Bandits with Generalized Linear Models. - Lihong Li 001; Wei Chu; John Langford 001; Taesup Moon; Xuanhui Wang (ICML On-line Trading of Exploration and Exploitation, 2012)

Towards Twitter context summarization with user influence models. - Yi Chang 001; Xuanhui Wang; Qiaozhu Mei; Yan Liu 002 (WSDM, 2013)

Bug characteristics in open source software. - Lin Tan 001; Chen Liu; Zhenmin Li; Xuanhui Wang; Yuanyuan Zhou 001; ChengXiang Zhai (Empir. Softw. Eng., 2014)

CelebrityNet: A Social Network Constructed from Large-Scale Online Celebrity Images. - Li-Jia Li 001; David A. Shamma; Xiangnan Kong; Sina Jafarpour; Roelof van Zwol; Xuanhui Wang (ACM Trans. Multim. Comput. Commun. Appl., 2015)

Learning to Rank with Selection Bias in Personal Search. - Xuanhui Wang; Michael Bendersky; Donald Metzler; Marc Najork (SIGIR, 2016)

Learning from User Interactions in Personal Search via Attribute Parameterization. - Michael Bendersky; Xuanhui Wang; Donald Metzler; Marc Najork (WSDM, 2017)

Situational Context for Ranking in Personal Search. - Hamed Zamani; Michael Bendersky; Xuanhui Wang; Mingyang Zhang 001 (WWW, 2017)

The LambdaLoss Framework for Ranking Metric Optimization. - Xuanhui Wang; Cheng Li 012; Nadav Golbandi; Michael Bendersky; Marc Najork (CIKM, 2018)

Learning with Sparse and Biased Feedback for Personal Search. - Michael Bendersky; Xuanhui Wang; Marc Najork; Donald Metzler (IJCAI, 2018)

Position Bias Estimation for Unbiased Learning to Rank in Personal Search. - Xuanhui Wang; Nadav Golbandi; Michael Bendersky; Donald Metzler; Marc Najork (WSDM, 2018)

Offline Comparison of Ranking Functions using Randomized Data. - Aman Agarwal; Xuanhui Wang; Cheng Li 012; Michael Bendersky; Marc Najork (CoRR, 2018)

Learning Groupwise Scoring Functions Using Deep Neural Networks. - Qingyao Ai; Xuanhui Wang; Nadav Golbandi; Michael Bendersky; Marc Najork (CoRR, 2018)

Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks. - Qingyao Ai; Xuanhui Wang; Sebastian Bruch 001; Nadav Golbandi; Michael Bendersky; Marc Najork (ICTIR, 2019)

An Analysis of the Softmax Cross Entropy Loss for Learning-to-Rank with Binary Relevance. - Sebastian Bruch 001; Xuanhui Wang; Michael Bendersky; Marc Najork (ICTIR, 2019)

Neural Learning to Rank using TensorFlow Ranking: A Hands-on Tutorial. - Rama Kumar Pasumarthi; Sebastian Bruch 001; Michael Bendersky; Xuanhui Wang (ICTIR, 2019)

Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search. - Pan Li 005; Zhen Qin 001; Xuanhui Wang; Donald Metzler (KDD, 2019)

TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank. - Rama Kumar Pasumarthi; Sebastian Bruch 001; Xuanhui Wang; Cheng Li 012; Michael Bendersky; Marc Najork; Jan Pfeifer; Nadav Golbandi; Rohan Anil; Stephan Wolf (KDD, 2019)

Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning. - Claudio Lucchese; Franco Maria Nardini; Rama Kumar Pasumarthi; Sebastian Bruch 001; Michael Bendersky; Xuanhui Wang; Harrie Oosterhuis; Rolf Jagerman; Maarten de Rijke (SIGIR, 2019)

Estimating Position Bias without Intrusive Interventions. - Aman Agarwal; Ivan Zaitsev; Xuanhui Wang; Cheng Li 012; Marc Najork; Thorsten Joachims (WSDM, 2019)

Addressing Trust Bias for Unbiased Learning-to-Rank. - Aman Agarwal; Xuanhui Wang; Cheng Li 012; Michael Bendersky; Marc Najork (WWW, 2019)

Self-Attentive Document Interaction Networks for Permutation Equivariant Ranking. - Rama Kumar Pasumarthi; Xuanhui Wang; Michael Bendersky; Marc Najork (CoRR, 2019)

Permutation Equivariant Document Interaction Network for Neural Learning to Rank. - Rama Kumar Pasumarthi; Honglei Zhuang; Xuanhui Wang; Michael Bendersky; Marc Najork (ICTIR, 2020)

Attribute-based Propensity for Unbiased Learning in Recommender Systems: Algorithm and Case Studies. - Zhen Qin 001; Suming J. Chen; Donald Metzler; Yongwoo Noh; Jingzheng Qin; Xuanhui Wang (KDD, 2020)

Feature Transformation for Neural Ranking Models. - Honglei Zhuang; Xuanhui Wang; Michael Bendersky; Marc Najork (SIGIR, 2020)

Parameter Tuning in Personal Search Systems. - Suming J. Chen; Xuanhui Wang; Zhen Qin 001; Donald Metzler (WSDM, 2020)

Stabilizing Neural Search Ranking Models. - Ruilin Li; Zhen Qin 001; Xuanhui Wang; Suming J. Chen; Donald Metzler (WWW, 2020)

Learning-to-Rank with BERT in TF-Ranking. - Shuguang Han; Xuanhui Wang; Mike Bendersky; Marc Najork (CoRR, 2020)

Interpretable Learning-to-Rank with Generalized Additive Models. - Honglei Zhuang; Xuanhui Wang; Michael Bendersky; Alexander Grushetsky; Yonghui Wu; Petr Mitrichev; Ethan Sterling; Nathan Bell; Walker Ravina; Hai Qian (CoRR, 2020)

Unbiased Learning to Rank via Propensity Ratio Scoring. - Nan Wang; Xuanhui Wang; Hongning Wang (CoRR, 2020)

Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees? - Zhen Qin 001; Le Yan; Honglei Zhuang; Yi Tay; Rama Kumar Pasumarthi; Xuanhui Wang; Michael Bendersky; Marc Najork (ICLR, 2021)

Ensemble Distillation for BERT-Based Ranking Models. - Honglei Zhuang; Zhen Qin 001; Shuguang Han; Xuanhui Wang; Michael Bendersky; Marc Najork (ICTIR, 2021)

Bootstrapping Recommendations at Chrome Web Store. - Zhen Qin 001; Honglei Zhuang; Rolf Jagerman; Xinyu Qian; Po Hu; Dan Chary Chen; Xuanhui Wang; Michael Bendersky; Marc Najork (KDD, 2021)

Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction. - Nan Wang; Zhen Qin 001; Xuanhui Wang; Hongning Wang (WSDM, 2021)

Interpretable Ranking with Generalized Additive Models. - Honglei Zhuang; Xuanhui Wang; Michael Bendersky; Alexander Grushetsky; Yonghui Wu; Petr Mitrichev; Ethan Sterling; Nathan Bell; Walker Ravina; Hai Qian (WSDM, 2021)

Diversification-Aware Learning to Rank using Distributed Representation. - Le Yan; Zhen Qin 001; Rama Kumar Pasumarthi; Xuanhui Wang; Michael Bendersky (WWW, 2021)

Cross-Positional Attention for Debiasing Clicks. - Honglei Zhuang; Zhen Qin 001; Xuanhui Wang; Michael Bendersky; Xinyu Qian; Po Hu; Dan Chary Chen (WWW, 2021)

Distilling Interpretable Models into Human-Readable Code. - Walker Ravina; Ethan Sterling; Olexiy Oryeshko; Nathan Bell; Honglei Zhuang; Xuanhui Wang; Yonghui Wu; Alexander Grushetsky (CoRR, 2021)

Born Again Neural Rankers. - Zhen Qin 001; Le Yan; Yi Tay; Honglei Zhuang; Xuanhui Wang; Michael Bendersky; Marc Najork (CoRR, 2021)

Rank4Class: A Ranking Formulation for Multiclass Classification. - Nan Wang; Zhen Qin 001; Le Yan; Honglei Zhuang; Xuanhui Wang; Michael Bendersky; Marc Najork (CoRR, 2021)

Search and Discovery in Personal Email Collections. - Michael Bendersky; Xuanhui Wang; Marc Najork; Donald Metzler (Found. Trends Inf. Retr., 2021)

Stochastic Retrieval-Conditioned Reranking. - Hamed Zamani; Michael Bendersky; Donald Metzler; Honglei Zhuang; Xuanhui Wang (ICTIR, 2022)

Rax: Composable Learning-to-Rank Using JAX. - Rolf Jagerman; Xuanhui Wang; Honglei Zhuang; Zhen Qin 001; Michael Bendersky; Marc Najork (KDD, 2022)

Scale Calibration of Deep Ranking Models. - Le Yan; Zhen Qin 001; Xuanhui Wang; Michael Bendersky; Marc Najork (KDD, 2022)

On Optimizing Top-K Metrics for Neural Ranking Models. - Rolf Jagerman; Zhen Qin 001; Xuanhui Wang; Michael Bendersky; Marc Najork (SIGIR, 2022)

Revisiting Two-tower Models for Unbiased Learning to Rank. - Le Yan; Zhen Qin 001; Honglei Zhuang; Xuanhui Wang; Michael Bendersky; Marc Najork (SIGIR, 2022)

Regression Compatible Listwise Objectives for Calibrated Ranking. - Aijun Bai; Rolf Jagerman; Zhen Qin 001; Pratyush Kar; Bing-Rong Lin; Xuanhui Wang; Michael Bendersky; Marc Najork (CoRR, 2022)

An improved Faster R-CNN model for multi-object tomato maturity detection in complex scenarios. - Zan Wang; Yiming Ling; Xuanli Wang; Dezhang Meng; Lixiu Nie; Guiqin An; Xuanhui Wang (Ecol. Informatics, 2022)

Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance. - Aijun Bai; Rolf Jagerman; Zhen Qin 001; Le Yan; Pratyush Kar; Bing-Rong Lin; Xuanhui Wang; Michael Bendersky; Marc Najork (CIKM, 2023)

PaRaDe: Passage Ranking using Demonstrations with LLMs. - Andrew Drozdov; Honglei Zhuang; Zhuyun Dai; Zhen Qin 001; Razieh Rahimi; Xuanhui Wang; Dana Alon; Mohit Iyyer; Andrew McCallum; Donald Metzler; Kai Hui 001 (EMNLP (Findings), 2023)

LibAUC: A Deep Learning Library for X-Risk Optimization. - Zhuoning Yuan; Dixian Zhu; Zi-Hao Qiu; Gang Li; Xuanhui Wang; Tianbao Yang (KDD, 2023)

Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. - Yunan Zhang 001; Le Yan; Zhen Qin 001; Honglei Zhuang; Jiaming Shen; Xuanhui Wang; Michael Bendersky; Marc Najork (KDD, 2023)

RD-Suite: A Benchmark for Ranking Distillation. - Zhen Qin 001; Rolf Jagerman; Rama Kumar Pasumarthi; Honglei Zhuang; He Zhang; Aijun Bai; Kai Hui 001; Le Yan; Xuanhui Wang (NeurIPS, 2023)

Learning List-Level Domain-Invariant Representations for Ranking. - Ruicheng Xian; Honglei Zhuang; Zhen Qin 001; Hamed Zamani; Jing Lu; Ji Ma 004; Kai Hui 001; Han Zhao 002; Xuanhui Wang; Michael Bendersky (NeurIPS, 2023)

Metric-agnostic Ranking Optimization. - Qingyao Ai; Xuanhui Wang; Michael Bendersky (SIGIR, 2023)

RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses. - Honglei Zhuang; Zhen Qin 001; Rolf Jagerman; Kai Hui 001; Ji Ma 004; Jing Lu; Jianmo Ni; Xuanhui Wang; Michael Bendersky (SIGIR, 2023)

Query Expansion by Prompting Large Language Models. - Rolf Jagerman; Honglei Zhuang; Zhen Qin 001; Xuanhui Wang; Michael Bendersky (CoRR, 2023)

Learning to Rank when Grades Matter. - Le Yan; Zhen Qin 001; Gil I. Shamir; Dong Lin; Xuanhui Wang; Mike Bendersky (CoRR, 2023)

Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. - Zhen Qin 001; Rolf Jagerman; Kai Hui 001; Honglei Zhuang; Junru Wu; Jiaming Shen; Tianqi Liu 002; Jialu Liu; Donald Metzler; Xuanhui Wang; Michael Bendersky (CoRR, 2023)

PaRaDe: Passage Ranking using Demonstrations with Large Language Models. - Andrew Drozdov; Honglei Zhuang; Zhuyun Dai; Zhen Qin 001; Razieh Rahimi; Xuanhui Wang; Dana Alon; Mohit Iyyer; Andrew McCallum; Donald Metzler; Kai Hui 001 (CoRR, 2023)

Generate, Filter, and Fuse: Query Expansion via Multi-Step Keyword Generation for Zero-Shot Neural Rankers. - Minghan Li 002; Honglei Zhuang; Kai Hui 001; Zhen Qin 001; Jimmy Lin; Rolf Jagerman; Xuanhui Wang; Michael Bendersky (CoRR, 2023)

Searching Personal Collections. - Michael Bendersky; Donald Metzler; Marc Najork; Xuanhui Wang (Information Retrieval: Advanced Topics and Techniques, 2024)

Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing. - Le Yan; Zhen Qin 001; Honglei Zhuang; Rolf Jagerman; Xuanhui Wang; Michael Bendersky; Harrie Oosterhuis (EMNLP, 2024)

Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I. - Harrie Oosterhuis; Rolf Jagerman; Zhen Qin 001; Xuanhui Wang; Michael Bendersky (KDD, 2024)

Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. - Zhen Qin 001; Rolf Jagerman; Kai Hui 001; Honglei Zhuang; Junru Wu; Le Yan; Jiaming Shen; Tianqi Liu 002; Jialu Liu; Donald Metzler; Xuanhui Wang; Michael Bendersky (NAACL-HLT (Findings), 2024)

Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels. - Honglei Zhuang; Zhen Qin 001; Kai Hui 001; Junru Wu; Le Yan; Xuanhui Wang; Michael Bendersky (NAACL (Short Papers), 2024)

Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers? - Minghan Li 002; Honglei Zhuang; Kai Hui 001; Zhen Qin 001; Jimmy Lin; Rolf Jagerman; Xuanhui Wang; Michael Bendersky (SIGIR, 2024)

LAMPO: Large Language Models as Preference Machines for Few-shot Ordinal Classification. - Zhen Qin 001; Junru Wu; Jiaming Shen; Tianqi Liu 002; Xuanhui Wang (CoRR, 2024)

Integrating Planning into Single-Turn Long-Form Text Generation. - Yi Liang; You Wu 001; Honglei Zhuang; Li Chen; Jiaming Shen; Yiling Jia; Zhen Qin 001; Sumit Sanghai; Xuanhui Wang; Carl Yang 001; Michael Bendersky (CoRR, 2024)

Searching Personal Collections. - Michael Bendersky; Donald Metzler; Marc Najork; Xuanhui Wang (CoRR, 2024)

Inference Scaling for Long-Context Retrieval Augmented Generation. - Zhenrui Yue; Honglei Zhuang; Aijun Bai; Kai Hui 001; Rolf Jagerman; Hansi Zeng; Zhen Qin 001; Dong Wang 002; Xuanhui Wang; Michael Bendersky (ICLR, 2025)

LiPO: Listwise Preference Optimization through Learning-to-Rank. - Tianqi Liu 002; Zhen Qin 001; Junru Wu; Jiaming Shen; Misha Khalman; Rishabh Joshi; Yao Zhao; Mohammad Saleh; Simon Baumgartner; Jialu Liu; Peter J. Liu; Xuanhui Wang (NAACL (Long Papers), 2025)

Optimizing Compound Retrieval Systems. - Harrie Oosterhuis; Rolf Jagerman; Zhen Qin 001; Xuanhui Wang (SIGIR, 2025)

Numerical simulation of hydraulic fracture extension patterns at interfaces of coal-measure rock strata and a new theoretical prediction model. - Junqiang Ma; Xuehua Li; Yinghu Li; Xuanhui Wang; Qiangling Yao; Sen Yang (Simul. Model. Pract. Theory, 2025)

Adapting Decoder-Based Language Models for Diverse Encoder Downstream Tasks. - Paul Suganthan; Fedor Moiseev; Le Yan; Junru Wu; Jianmo Ni; Jay Han; Imed Zitouni; Enrique Alfonseca; Xuanhui Wang; Zhe Dong (CoRR, 2025)

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation. - Junru Wu; Le Yan; Zhen Qin 001; Honglei Zhuang; Paul Suganthan G. C.; Tianqi Liu 002; Zhe Dong; Xuanhui Wang; Harrie Oosterhuis (CoRR, 2025)