Tu Vu

760 total citations
15 papers, 328 citations indexed

About

Tu Vu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Tu Vu has authored 15 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Tu Vu's work include Topic Modeling (12 papers), Natural Language Processing Techniques (11 papers) and Multimodal Machine Learning Applications (4 papers). Tu Vu is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (11 papers) and Multimodal Machine Learning Applications (4 papers). Tu Vu collaborates with scholars based in United States, Vietnam and Japan. Tu Vu's co-authors include Noah Constant, Brian Lester, Daniel Cer, Rami Al‐Rfou, Mohit Iyyer, Quan Hung Tran, Son Bao Pham, Vu Tran, Le-Minh Nguyen and Alessandro Sordoni and has published in prestigious journals such as International Review of Education, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Tu Vu

15 papers receiving 317 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tu Vu United States	8	276	75	57	12	9	15	328
Sanjay K. Dwivedi India	9	200 0.7×	25 0.3×	124 2.2×	5 0.4×	8 0.9×	53	278
Niklas Muennighoff United States	6	302 1.1×	55 0.7×	37 0.6×	2 0.2×	11 1.2×	8	379
Nabil Alami Morocco	9	222 0.8×	20 0.3×	71 1.2×	8 0.7×	2 0.2×	22	275
Jiwei Tan China	10	364 1.3×	78 1.0×	92 1.6×	11 0.9×	2 0.2×	14	410
Mohammed Y. Shakor Iraq	6	149 0.5×	26 0.3×	62 1.1×	4 0.3×	4 0.4×	15	314
Giuseppe Castellucci Italy	10	289 1.0×	64 0.9×	58 1.0×	5 0.4×	2 0.2×	22	344
Omar Einea United Arab Emirates	8	355 1.3×	29 0.4×	105 1.8×	3 0.3×	6 0.7×	10	411
C. N. Subalalitha India	10	358 1.3×	38 0.5×	64 1.1×	4 0.3×	3 0.3×	23	393
Alberto Blanco-Justicia Spain	9	153 0.6×	20 0.3×	34 0.6×	6 0.5×	3 0.3×	18	220
Wenhao Zhang China	5	152 0.6×	38 0.5×	52 0.9×	20 1.7×	1 0.1×	12	232

Countries citing papers authored by Tu Vu

Since Specialization

Citations

This map shows the geographic impact of Tu Vu'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 Tu Vu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tu Vu more than expected).

Fields of papers citing papers by Tu Vu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tu Vu. 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 Tu Vu. The network helps show where Tu Vu may publish in the future.

Co-authorship network of co-authors of Tu Vu

This figure shows the co-authorship network connecting the top 25 collaborators of Tu Vu. A scholar is included among the top collaborators of Tu Vu 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 Tu Vu. Tu Vu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

1.

Vu, Tu, et al.. (2024). Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation. 17086–17105. 6 indexed citations

2.

Vu, Tu, Mohit Iyyer, Xuezhi Wang, et al.. (2024). FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation. 13697–13720. 25 indexed citations

3.

Nguyen, Anh Tuan, et al.. (2023). ViDeBERTa: A powerful pre-trained language model for Vietnamese. 1071–1078. 3 indexed citations

4.

Sun, Jiao, Thibault Sellam, Elizabeth A. Clark, et al.. (2023). Dialect-robust Evaluation of Generated Text. 6010–6028. 8 indexed citations

5.

Vu, Tu, et al.. (2022). Leveraging QA Datasets to Improve Generative Data Augmentation. 9737–9750. 6 indexed citations

6.

Vu, Tu, Aditya Barua, Brian Lester, et al.. (2022). Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation. 9279–9300. 11 indexed citations

7.

Vu, Tu, Brian Lester, Noah Constant, Rami Al‐Rfou, & Daniel Cer. (2022). SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 5039–5059. 112 indexed citations

8.

Vu, Tu, et al.. (2021). STraTA: Self-Training with Task Augmentation for Better Few-shot Learning. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 13 indexed citations

9.

Vu, Tu, Tong Wang, Tsendsuren Munkhdalai, et al.. (2020). Exploring and Predicting Transferability across NLP Tasks. 7882–7926. 61 indexed citations

10.

Vu, Tu & Mohit Iyyer. (2019). Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification. 6331–6338. 1 indexed citations

11.

Robinson, Clinton & Tu Vu. (2019). Literacy, languages and development in Africa: a policy perspective. International Review of Education. 65(3). 443–470. 5 indexed citations

12.

Vu, Tu & Vered Shwartz. (2018). Integrating Multiplicative Features into Supervised Distributional Methods for Lexical Entailment. 160–166. 6 indexed citations

13.

Do, Duyen, et al.. (2017). Customer churn prediction in an internet service provider. 3928–3933. 16 indexed citations

14.

Vu, Tu, et al.. (2017). DNS graph mining for malicious domain detection. 4680–4685. 6 indexed citations

15.

Tran, Quan Hung, Vu Tran, Tu Vu, Le-Minh Nguyen, & Son Bao Pham. (2015). JAIST: Combining multiple features for Answer Selection in Community Question Answering. 215–219. 49 indexed citations

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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