A management model for SDN-based data center networks. - Yifei Xu; Yue Yan; Zhuyun Dai; Xiaolin Wang (INFOCOM Workshops, 2014)

How Random Decisions Affect Selective Distributed Search. - Zhuyun Dai; Yubin Kim 001; Jamie Callan (SIGIR, 2015)

Query-Biased Partitioning for Selective Search. - Zhuyun Dai; Chenyan Xiong; Jamie Callan (CIKM, 2016)

An Evaluation of the Kernel Based Neural Ranking Model in NTCIR-13 WWW. - Zhuyun Dai; Chenyan Xiong; Jamie Callan (NTCIR, 2017)

Learning To Rank Resources. - Zhuyun Dai; Yubin Kim 001; Jamie Callan (SIGIR, 2017)

End-to-End Neural Ad-hoc Ranking with Kernel Pooling. - Chenyan Xiong; Zhuyun Dai; Jamie Callan; Zhiyuan Liu 001; Russell Power (SIGIR, 2017)

Inverted List Caching for Topical Index Shards. - Zhuyun Dai; Jamie Callan (ECIR, 2018)

Consistency and Variation in Kernel Neural Ranking Model. - Mary Arpita Pyreddy; Varshini Ramaseshan; Narendra Nath Joshi; Zhuyun Dai; Chenyan Xiong; Jamie Callan; Zhiyuan Liu 001 (SIGIR, 2018)

Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc Search. - Zhuyun Dai; Chenyan Xiong; Jamie Callan; Zhiyuan Liu 001 (WSDM, 2018)

Where is this? Video geolocation based on neural network features. - Salvador Medina; Zhuyun Dai; Yingkai Gao (CoRR, 2018)

Deeper Text Understanding for IR with Contextual Neural Language Modeling. - Zhuyun Dai; Jamie Callan (SIGIR, 2019)

An Evaluation of Weakly-Supervised DeepCT in the TREC 2019 Deep Learning Track. - Zhuyun Dai; Jamie Callan (TREC, 2019)

Local Matching Networks for Engineering Diagram Search. - Zhuyun Dai; Zhen Fan 003; Hafeezul Rahman; Jamie Callan (WWW, 2019)

Context-Aware Sentence/Passage Term Importance Estimation For First Stage Retrieval. - Zhuyun Dai; Jamie Callan (CoRR, 2019)

Rethinking Query Expansion for BERT Reranking. - Ramith Padaki; Zhuyun Dai; Jamie Callan (ECIR (2), 2020)

Modularized Transfomer-based Ranking Framework. - Luyu Gao; Zhuyun Dai; Jamie Callan (EMNLP (1), 2020)

Generalizing Open Domain Fact Extraction and Verification to COVID-FACT thorough In-Domain Language Modeling. - Zhenghao Liu 001; Chenyan Xiong; Zhuyun Dai; Si Sun; Maosong Sun 001; Zhiyuan Liu 001 (EMNLP (Findings), 2020)

Understanding BERT Rankers Under Distillation. - Luyu Gao; Zhuyun Dai; Jamie Callan (ICTIR, 2020)

Summarizing and Exploring Tabular Data in Conversational Search. - Shuo Zhang 006; Zhuyun Dai; Krisztian Balog; Jamie Callan (SIGIR, 2020)

Context-Aware Term Weighting For First Stage Passage Retrieval. - Zhuyun Dai; Jamie Callan (SIGIR, 2020)

Efficiency Implications of Term Weighting for Passage Retrieval. - Joel M. Mackenzie; Zhuyun Dai; Luke Gallagher; Jamie Callan (SIGIR, 2020)

Context-Aware Document Term Weighting for Ad-Hoc Search. - Zhuyun Dai; Jamie Callan (WWW, 2020)

EARL: Speedup Transformer-based Rankers with Pre-computed Representation. - Luyu Gao; Zhuyun Dai; Jamie Callan (CoRR, 2020)

Complementing Lexical Retrieval with Semantic Residual Embedding. - Luyu Gao; Zhuyun Dai; Zhen Fan 003; Jamie Callan (CoRR, 2020)

CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search. - Chenyan Xiong; Zhenghao Liu 001; Si Sun; Zhuyun Dai; Kaitao Zhang; Shi Yu 001; Zhiyuan Liu 001; Hoifung Poon; Jianfeng Gao 001; Paul Bennett 001 (CoRR, 2020)

Rethink Training of BERT Rerankers in Multi-stage Retrieval Pipeline. - Luyu Gao; Zhuyun Dai; Jamie Callan (ECIR (2), 2021)

Complement Lexical Retrieval Model with Semantic Residual Embeddings. - Luyu Gao; Zhuyun Dai; Tongfei Chen; Zhen Fan 003; Benjamin Van Durme; Jamie Callan (ECIR (1), 2021)

PGT: Pseudo Relevance Feedback Using a Graph-Based Transformer. - HongChien Yu; Zhuyun Dai; Jamie Callan (ECIR (2), 2021)

COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List. - Luyu Gao; Zhuyun Dai; Jamie Callan (NAACL-HLT, 2021)

Large Dual Encoders Are Generalizable Retrievers. - Jianmo Ni; Chen Qu 001; Jing Lu; Zhuyun Dai; Gustavo Hernández Ábrego; Ji Ma 004; Vincent Y. Zhao; Yi Luan; Keith B. Hall; Ming-Wei Chang; Yinfei Yang (EMNLP, 2022)

Dialog Inpainting: Turning Documents into Dialogs. - Zhuyun Dai; Arun Tejasvi Chaganty; Vincent Y. Zhao; Aida Amini; Qazi Mamunur Rashid; Mike Green; Kelvin Guu (ICML, 2022)

Attributed Text Generation via Post-hoc Research and Revision. - Luyu Gao; Zhuyun Dai; Panupong Pasupat; Anthony Chen; Arun Tejasvi Chaganty; Yicheng Fan; Vincent Y. Zhao; Ni Lao; Hongrae Lee; Da-Cheng Juan; Kelvin Guu (CoRR, 2022)

Scaling Instruction-Finetuned Language Models. - Hyung Won Chung; Le Hou; Shayne Longpre; Barret Zoph; Yi Tay; William Fedus; Eric Li; Xuezhi Wang 002; Mostafa Dehghani 001; Siddhartha Brahma; Albert Webson; Shixiang Shane Gu; et al. (CoRR, 2022)

Multi-Vector Retrieval as Sparse Alignment. - Yujie Qian; Jinhyuk Lee; Sai Meher Karthik Duddu; Zhuyun Dai; Siddhartha Brahma; Iftekhar Naim; Tao Lei; Vincent Y. Zhao (CoRR, 2022)

RARR: Researching and Revising What Language Models Say, Using Language Models. - Luyu Gao; Zhuyun Dai; Panupong Pasupat; Anthony Chen; Arun Tejasvi Chaganty; Yicheng Fan; Vincent Y. Zhao; Ni Lao; Hongrae Lee; Da-Cheng Juan; Kelvin Guu (ACL (1), 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)

Promptagator: Few-shot Dense Retrieval From 8 Examples. - Zhuyun Dai; Vincent Y. Zhao; Ji Ma 004; Yi Luan; Jianmo Ni; Jing Lu; Anton Bakalov; Kelvin Guu; Keith B. Hall; Ming-Wei Chang (ICLR, 2023)

Aligning Documentation and Q&A Forum through Constrained Decoding with Weak Supervision. - Rohith Pudari; Shiyuan Zhou; Iftekhar Ahmed 001; Zhuyun Dai; Shurui Zhou (ICSME, 2023)

Rethinking the Role of Token Retrieval in Multi-Vector Retrieval. - Jinhyuk Lee; Zhuyun Dai; Sai Meher Karthik Duddu; Tao Lei; Iftekhar Naim; Ming-Wei Chang; Vincent Zhao (NeurIPS, 2023)

Rethinking the Role of Token Retrieval in Multi-Vector Retrieval. - Jinhyuk Lee; Zhuyun Dai; Sai Meher Karthik Duddu; Tao Lei; Iftekhar Naim; Ming-Wei Chang; Vincent Y. Zhao (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)

Gecko: Versatile Text Embeddings Distilled from Large Language Models. - Jinhyuk Lee; Zhuyun Dai; Xiaoqi Ren; Blair Chen; Daniel Cer; Jeremy R. Cole; Kai Hui 001; Michael Boratko; Rajvi Kapadia; Wen Ding; Yi Luan; Sai Meher Karthik Duddu; et al. (CoRR, 2024)

Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More? - Jinhyuk Lee; Anthony Chen; Zhuyun Dai; Dheeru Dua; Devendra Singh Sachan; Michael Boratko; Yi Luan; Sébastien M. R. Arnold; Vincent Perot; Siddharth Dalmia; Hexiang Hu; Xudong Lin 008; et al. (CoRR, 2024)

Dr.ICL: Demonstration-Retrieved In-context Learning. - Man Luo 003; Xin Xu; Zhuyun Dai; Panupong Pasupat; Mehran Kazemi; Chitta Baral; Vaiva Imbrasaite; Vincent Y. Zhao (Data Intell., 2024)

Scaling Instruction-Finetuned Language Models. - Hyung Won Chung; Le Hou; Shayne Longpre; Barret Zoph; Yi Tay; William Fedus; Yunxuan Li; Xuezhi Wang 002; Mostafa Dehghani 001; Siddhartha Brahma; Albert Webson; Shixiang Shane Gu; et al. (J. Mach. Learn. Res., 2024)

KEIR @ ECIR 2025: The Second Workshop on Knowledge-Enhanced Information Retrieval. - Zihan Wang; Jinyuan Fang; Giacomo Frisoni; Zhuyun Dai; Zaiqiao Meng; Gianluca Moro; Emine Yilmaz (ECIR (5), 2025)

LOFT: Scalable and More Realistic Long-Context Evaluation. - Jinhyuk Lee; Anthony Chen; Zhuyun Dai; Dheeru Dua; Devendra Singh Sachan; Michael Boratko; Yi Luan; Sébastien M. R. Arnold; Vincent Perot; Siddharth Dalmia; Hexiang Hu; Xudong Lin 008; et al. (NAACL (Findings), 2025)