Zhuyun Dai

4.7k total citations
17 papers, 611 citations indexed

About

Zhuyun Dai is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhuyun Dai has authored 17 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhuyun Dai's work include Topic Modeling (12 papers), Natural Language Processing Techniques (7 papers) and Information Retrieval and Search Behavior (6 papers). Zhuyun Dai is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (7 papers) and Information Retrieval and Search Behavior (6 papers). Zhuyun Dai collaborates with scholars based in United States, China and Australia. Zhuyun Dai's co-authors include Jamie Callan, Chenyan Xiong, Luyu Gao, Zhiyuan Liu, Vincent Zhao, Jianmo Ni, Ji Ma, Jing Lü, Yinfei Yang and Keith Hall and has published in prestigious journals such as Data Intelligence, Minerva Access (University of Melbourne) and Text REtrieval Conference.

In The Last Decade

Zhuyun Dai

17 papers receiving 580 citations

Peers

Countries citing papers authored by Zhuyun Dai

Since Specialization

Citations

This map shows the geographic impact of Zhuyun Dai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zhuyun Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhuyun Dai more than expected).

Fields of papers citing papers by Zhuyun Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhuyun Dai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zhuyun Dai. The network helps show where Zhuyun Dai may publish in the future.

Co-authorship network of co-authors of Zhuyun Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Zhuyun Dai. A scholar is included among the top collaborators of Zhuyun Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhuyun Dai. Zhuyun Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

#	Work	Indexed citations
1	Dr.ICL: Demonstration-Retrieved In-context Learning 2024 ·Data Intelligence ·(unknown), Xin Xu, Zhuyun Dai, Panupong Pasupat, Mehran Kazemi, Chitta Baral, (unknown), (unknown)	4
2	RARR: Researching and Revising What Language Models Say, Using Language Models 2023 ·Luyu Gao, Zhuyun Dai, Panupong Pasupat, Anthony Chen, Arun Tejasvi Chaganty, (unknown), Vincent Zhao, Ni Lao, Hongrae Lee, Da-Cheng Juan, Kelvin Guu	50
3	PaRaDe: Passage Ranking using Demonstrations with LLMs 2023 ·Andrew Drozdov, Honglei Zhuang, Zhuyun Dai, Zhen Qin, (unknown), Xuanhui Wang, (unknown), Mohit Iyyer, Andrew McCallum, Donald Metzler, (unknown)	4
4	Aligning Documentation and Q&A Forum through Constrained Decoding with Weak Supervision 2023 ·(unknown), (unknown), Iftekhar Ahmed, Zhuyun Dai, (unknown)	1
5	Large Dual Encoders Are Generalizable Retrievers 2022 ·Jianmo Ni, (unknown), Jing Lü, Zhuyun Dai, Gustavo Hernández Ábrego, Ji Ma, Vincent Zhao, Yi Luan, Keith Hall, Ming‐Wei Chang, Yinfei Yang	86
6	COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List 2021 ·Luyu Gao, Zhuyun Dai, Jamie Callan	88
7	Adapting Open Domain Fact Extraction and Verification to COVID-FACT through In-Domain Language Modeling 2020 ·Zhenghao Liu, Chenyan Xiong, Zhuyun Dai, (unknown), Maosong Sun, Zhiyuan Liu	13
8	Context-Aware Term Weighting For First Stage Passage Retrieval 2020 ·Zhuyun Dai, Jamie Callan	63
9	Efficiency Implications of Term Weighting for Passage Retrieval 2020 ·Minerva Access (University of Melbourne) ·Joel Mackenzie, Zhuyun Dai, (unknown), Jamie Callan	15
10	Context-Aware Document Term Weighting for Ad-Hoc Search 2020 ·Zhuyun Dai, Jamie Callan	66
11	Modularized Transfomer-based Ranking Framework 2020 ·Luyu Gao, Zhuyun Dai, Jamie Callan	27
12	An Evaluation of Weakly-Supervised DeepCT in the TREC 2019 Deep Learning Track. 2019 ·Text REtrieval Conference ·Zhuyun Dai, Jamie Callan	1
13	Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc Search 2018 ·Zhuyun Dai, Chenyan Xiong, Jamie Callan, Zhiyuan Liu	160
14	Learning To Rank Resources 2017 ·Zhuyun Dai, Yubin Kim, Jamie Callan	13
15	Query-Biased Partitioning for Selective Search 2016 ·Zhuyun Dai, Chenyan Xiong, Jamie Callan	13
16	How Random Decisions Affect Selective Distributed Search 2015 ·Zhuyun Dai, Yubin Kim, Jamie Callan	3
17	A management model for SDN-based data center networks 2014 ·Yifei Xu, (unknown), Zhuyun Dai, Xiaolin Wang	4

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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