Hila Gonen

1.1k total citations
21 papers, 357 citations indexed

About

Hila Gonen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Hila Gonen has authored 21 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Hila Gonen's work include Natural Language Processing Techniques (15 papers), Topic Modeling (12 papers) and Speech and dialogue systems (3 papers). Hila Gonen is often cited by papers focused on Natural Language Processing Techniques (15 papers), Topic Modeling (12 papers) and Speech and dialogue systems (3 papers). Hila Gonen collaborates with scholars based in United States, Israel and Germany. Hila Gonen's co-authors include Yoav Goldberg, Luke Zettlemoyer, Ryan Cotterell, Simone Teufel, Noah A. Smith, Yulia Tsvetkov, Shauli Ravfogel, Orevaoghene Ahia, Rui Hou and Marjan Ghazvininejad and has published in prestigious journals such as International Journal of Paediatric Dentistry, Biomedical Reports and Pure (University of Bath).

In The Last Decade

Hila Gonen

17 papers receiving 324 citations

Peers

Hila Gonen
Shrimai Prabhumoye United States
Emily Sheng United States
Rachel Rudinger United States
Su Lin Blodgett United States
Kawin Ethayarajh United States
Myra Cheng United States
Paul Röttger United Kingdom
Vishakh Padmakumar United States
Maximilian Wich Germany
Philippe Laban United States
Shrimai Prabhumoye United States
Hila Gonen
Citations per year, relative to Hila Gonen Hila Gonen (= 1×) peers Shrimai Prabhumoye

Countries citing papers authored by Hila Gonen

Since Specialization
Citations

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

Fields of papers citing papers by Hila Gonen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hila Gonen

This figure shows the co-authorship network connecting the top 25 collaborators of Hila Gonen. A scholar is included among the top collaborators of Hila Gonen 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 Hila Gonen. Hila Gonen 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.
Zini, Avraham, et al.. (2025). Efficacy of aged garlic extract on periodontal pockets:  An 18‑month dose response study. Biomedical Reports. 22(4). 1–8.
2.
Gonen, Hila, et al.. (2025). Does Liking Yellow Imply Driving a School Bus? Semantic Leakage in Language Models. 785–798. 1 indexed citations
3.
Asai, Akari, Sneha Kudugunta, Hila Gonen, et al.. (2024). BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer. 1771–1800. 3 indexed citations
4.
5.
Ahia, Orevaoghene, Anuoluwapo Aremu, Hila Gonen, et al.. (2024). Voices Unheard: NLP Resources and Models for Yorùbá Regional Dialects. 4392–4409. 1 indexed citations
6.
Gururangan, Suchin, et al.. (2024). Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models. 10822–10837. 3 indexed citations
7.
Mayhew, Stephen, Shuheng Liu, Hila Gonen, et al.. (2024). Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark. Pure (University of Bath). 4322–4337. 2 indexed citations
8.
9.
Shi, Weijia, Xiaochuang Han, Hila Gonen, et al.. (2023). Toward Human Readable Prompt Tuning: Kubrick’s The Shining is a good movie, and a good prompt too?. 10994–11005. 8 indexed citations
10.
Gonen, Hila, Yuning Mao, Rui Hou, et al.. (2023). XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models. 13142–13152. 13 indexed citations
11.
Davidovich, Esti, et al.. (2023). A 4‐week randomized controlled trial evaluating plaque and gingivitis effects of an electric toothbrush in a paediatric population. International Journal of Paediatric Dentistry. 34(3). 246–255. 1 indexed citations
12.
Gonen, Hila, et al.. (2023). Prompting Language Models for Linguistic Structure. 6649–6663. 9 indexed citations
13.
Gonen, Hila, et al.. (2023). Demystifying Prompts in Language Models via Perplexity Estimation. 10136–10148. 54 indexed citations
14.
Ahia, Orevaoghene, Sachin Kumar, Hila Gonen, et al.. (2023). Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models. 9904–9923. 12 indexed citations
15.
Gonen, Hila, et al.. (2022). McPhraSy: Multi-Context Phrase Similarity and Clustering. 3538–3550. 2 indexed citations
16.
Gonen, Hila, et al.. (2022). Analyzing the Mono- and Cross-Lingual Pretraining Dynamics of Multilingual Language Models. 3575–3590. 9 indexed citations
17.
Gonen, Hila & Yoav Goldberg. (2019). Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them. arXiv (Cornell University). 60–63. 72 indexed citations
18.
Gonen, Hila & Yoav Goldberg. (2019). Lipstick on a Pig:. 609–614. 95 indexed citations
19.
Gonen, Hila, et al.. (2019). It’s All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution. 5266–5274. 63 indexed citations
20.
Gonen, Hila & Yoav Goldberg. (2016). Semi Supervised Preposition-Sense Disambiguation using Multilingual Data.. International Conference on Computational Linguistics. 2718–2729. 4 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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