Aditya Siddhant

4.2k total citations · 1 hit paper
13 papers, 1.1k citations indexed

About

Aditya Siddhant is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Aditya Siddhant has authored 13 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Aerospace Engineering. Recurrent topics in Aditya Siddhant's work include Topic Modeling (10 papers), Natural Language Processing Techniques (8 papers) and Speech Recognition and Synthesis (4 papers). Aditya Siddhant is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (8 papers) and Speech Recognition and Synthesis (4 papers). Aditya Siddhant collaborates with scholars based in United States, India and Germany. Aditya Siddhant's co-authors include Mihir Kale, Noah Constant, Linting Xue, Rami Al‐Rfou, Colin Raffel, Aditya Barua, Adam P. Roberts, Melvin Johnson, Junjie Hu and Orhan Fırat and has published in prestigious journals such as arXiv (Cornell University), International Conference on Machine Learning and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Aditya Siddhant

13 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer

2021 841 citations Linting Xue, Noah Constant et al. profile →

Peers

Aditya Siddhant

AI

CVPR

IS

MSOR

SP

Mihir Kale United States

Linting Xue United States

Jackie Chi Kit Cheung Canada

Sam Wiseman United States

Anja Belz United Kingdom

Stella Biderman United States

Teven Le Scao United States

Keisuke Sakaguchi United States

Kuzman Ganchev United States

Shuohuan Wang China

Mihir Kale United States

Aditya Siddhant

942 ×0.9

AI

220 ×0.8

CVPR

85 ×1.0

IS

34 ×0.9

MSOR

22 ×0.7

SP

Citations per year, relative to Aditya Siddhant Aditya Siddhant (= 1×) peers Mihir Kale

Countries citing papers authored by Aditya Siddhant

Since Specialization

Citations

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

Fields of papers citing papers by Aditya Siddhant

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aditya Siddhant

This figure shows the co-authorship network connecting the top 25 collaborators of Aditya Siddhant. A scholar is included among the top collaborators of Aditya Siddhant 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 Aditya Siddhant. Aditya Siddhant 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:

13 of 13 papers shown

1.

Deutsch, Daniel, et al.. (2023). MetricX-23: The Google Submission to the WMT 2023 Metrics Shared Task. 756–767. 4 indexed citations

2.

Clark, Elizabeth A., Shruti Rijhwani, Sebastian Gehrmann, et al.. (2023). SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization Evaluation. 9397–9413. 4 indexed citations

3.

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

4.

Siddhant, Aditya, et al.. (2022). DOCmT5: Document-Level Pretraining of Multilingual Language Models. 425–437. 3 indexed citations

5.

Xue, Linting, Noah Constant, Adam P. Roberts, et al.. (2021). mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer. 483–498. 841 indexed citations breakdown →

6.

Kale, Mihir, Aditya Siddhant, Rami Al‐Rfou, et al.. (2021). nmT5 - Is parallel data still relevant for pre-training massively multilingual language models?. 683–691. 7 indexed citations

7.

Hu, Junjie, Melvin Johnson, Orhan Fırat, Aditya Siddhant, & Graham Neubig. (2021). Explicit Alignment Objectives for Multilingual Bidirectional Encoders. 3633–3643. 30 indexed citations

8.

Hu, Junjie, Sebastian Ruder, Aditya Siddhant, et al.. (2020). XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalisation. International Conference on Machine Learning. 1. 4411–4421. 202 indexed citations

9.

Siddhant, Aditya, Anuj Goyal, & Angeliki Metallinou. (2019). Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent Agents. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 4959–4966. 28 indexed citations

10.

Rajagopal, Dheeraj, et al.. (2019). Domain Adaptation of SRL Systems for Biological Processes. 80–87. 3 indexed citations

11.

Siddhant, Aditya, Preethi Jyothi, & Sriram Ganapathy. (2017). Leveraging native language speech for accent identification using deep Siamese networks. arXiv (Cornell University). 621–628. 8 indexed citations

12.

Verma, Nishchal K., et al.. (2015). Vision based object follower automated guided vehicle using compressive tracking and stereo-vision. 1–6. 7 indexed citations

13.

Verma, Nishchal K., et al.. (2015). Vision based obstacle avoidance and recognition system. 1–7. 3 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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