Fahim Dalvi

1.6k total citations
26 papers, 294 citations indexed

About

Fahim Dalvi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Fahim Dalvi has authored 26 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 4 papers in Sociology and Political Science. Recurrent topics in Fahim Dalvi's work include Natural Language Processing Techniques (18 papers), Topic Modeling (17 papers) and Multimodal Machine Learning Applications (8 papers). Fahim Dalvi is often cited by papers focused on Natural Language Processing Techniques (18 papers), Topic Modeling (17 papers) and Multimodal Machine Learning Applications (8 papers). Fahim Dalvi collaborates with scholars based in Qatar, Canada and Bulgaria. Fahim Dalvi's co-authors include Hassan Sajjad, Nadir Durrani, Preslav Nakov, Yonatan Belinkov, Ahmed Abdelalí, Kareem Darwish, Firoj Alam, Lluı́s Màrquez, Stephan Vogel and Hamdy Mubarak and has published in prestigious journals such as Computer Speech & Language, Transactions of the Association for Computational Linguistics and arXiv (Cornell University).

In The Last Decade

Fahim Dalvi

23 papers receiving 267 citations

Peers

Fahim Dalvi
El Moatez Billah Nagoudi Canada
Bashar Talafha Jordan
Naoki Yoshinaga Japan
Ahmed Abbasi Pakistan
Sinnathamby Mahesan Sri Lanka
Shijie Wu United States
Jesús Vilares Spain
Omar Einea United Arab Emirates
C. N. Subalalitha India
Lluís-F. Hurtado Spain
El Moatez Billah Nagoudi Canada
Fahim Dalvi
Citations per year, relative to Fahim Dalvi Fahim Dalvi (= 1×) peers El Moatez Billah Nagoudi

Countries citing papers authored by Fahim Dalvi

Since Specialization
Citations

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

Fields of papers citing papers by Fahim Dalvi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fahim Dalvi

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

All Works

20 of 20 papers shown
1.
Dalvi, Fahim, et al.. (2024). Latent Concept-based Explanation of NLP Models. 12435–12459.
2.
Dalvi, Fahim, Maram Hasanain, Sabri Boughorbel, et al.. (2024). LLMeBench: A Flexible Framework for Accelerating LLMs Benchmarking. 214–222. 2 indexed citations
3.
Abdelalí, Ahmed, Hamdy Mubarak, Shammur Absar Chowdhury, et al.. (2024). LAraBench: Benchmarking Arabic AI with Large Language Models. 487–520. 7 indexed citations
4.
Durrani, Nadir, et al.. (2023). Can LLMs Facilitate Interpretation of Pre-trained Language Models?. 3248–3268.
5.
Alam, Firoj, et al.. (2023). ConceptX: A Framework for Latent Concept Analysis. Proceedings of the AAAI Conference on Artificial Intelligence. 37(13). 16395–16397. 2 indexed citations
6.
Dalvi, Fahim, et al.. (2023). NxPlain: A Web-based Tool for Discovery of Latent Concepts. 75–83. 1 indexed citations
7.
Dalvi, Fahim, Hassan Sajjad, & Nadir Durrani. (2023). NeuroX Library for Neuron Analysis of Deep NLP Models. 226–234. 2 indexed citations
8.
Abdelalí, Ahmed, Nadir Durrani, Cenk Demiroğlu, et al.. (2022). NatiQ: An End-to-end Text-to-Speech System for Arabic. 394–398. 3 indexed citations
9.
Abdelalí, Ahmed, Nadir Durrani, Fahim Dalvi, & Hassan Sajjad. (2022). Post-hoc analysis of Arabic transformer models. 91–103. 1 indexed citations
10.
Durrani, Nadir, Hassan Sajjad, Fahim Dalvi, & Firoj Alam. (2022). On the Transformation of Latent Space in Fine-Tuned NLP Models. 1495–1516. 2 indexed citations
11.
Sajjad, Hassan, Fahim Dalvi, Nadir Durrani, & Preslav Nakov. (2022). On the effect of dropping layers of pre-trained transformer models. Computer Speech & Language. 77. 101429–101429. 38 indexed citations
12.
Sajjad, Hassan, Nadir Durrani, & Fahim Dalvi. (2022). Neuron-level Interpretation of Deep NLP Models: A Survey. Transactions of the Association for Computational Linguistics. 10. 1285–1303. 22 indexed citations
13.
Sajjad, Hassan, Narine Kokhlikyan, Fahim Dalvi, & Nadir Durrani. (2021). Fine-grained Interpretation and Causation Analysis in Deep NLP Models. 5–10. 4 indexed citations
14.
Aker, Ahmet, et al.. (2019). Rumour verification through recurring information and an inner-attention mechanism. 13. 100045–100045. 15 indexed citations
15.
Barrón‐Cedeño, Alberto, et al.. (2018). Qlusty: Quick and dirty generation of event videos from written media coverage. 2079. 27–32. 2 indexed citations
16.
Dalvi, Fahim, Nadir Durrani, Hassan Sajjad, Yonatan Belinkov, & Stephan Vogel. (2017). Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder. International Joint Conference on Natural Language Processing. 1. 142–151. 26 indexed citations
17.
Belinkov, Yonatan, Lluı́s Màrquez, Hassan Sajjad, et al.. (2017). Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks. International Joint Conference on Natural Language Processing. 1. 1–10. 39 indexed citations
18.
Sajjad, Hassan, Fahim Dalvi, Nadir Durrani, et al.. (2017). Challenging Language-Dependent Segmentation for Arabic: An\n Application to Machine Translation and Part-of-Speech Tagging. Figshare. 7 indexed citations
19.
Dalvi, Fahim, Yifan Zhang, Sameer Khurana, et al.. (2017). QCRI Live Speech Translation System. 61–64. 4 indexed citations
20.
Eldesouki, Mohamed, Fahim Dalvi, Hassan Sajjad, & Kareem Darwish. (2016). QCRI $@$ DSL 2016: Spoken Arabic Dialect Identification Using Textual Features.. International Conference on Computational Linguistics. 221–226. 14 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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