Roee Aharoni

1.4k total citations
27 papers, 576 citations indexed

About

Roee Aharoni is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Roee Aharoni has authored 27 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Roee Aharoni's work include Topic Modeling (21 papers), Natural Language Processing Techniques (20 papers) and Speech and dialogue systems (4 papers). Roee Aharoni is often cited by papers focused on Topic Modeling (21 papers), Natural Language Processing Techniques (20 papers) and Speech and dialogue systems (4 papers). Roee Aharoni collaborates with scholars based in Israel, United States and France. Roee Aharoni's co-authors include Melvin Johnson, Orhan Fırat, Yoav Goldberg, Idan Szpektor, Or Honovich, Jonathan Herzig, Leshem Choshen, Omri Abend, Amit Moryossef and Vered Cohen and has published in prestigious journals such as arXiv (Cornell University), Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Roee Aharoni

25 papers receiving 524 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roee Aharoni Israel 12 541 156 40 23 12 27 576
Vishrav Chaudhary United States 13 569 1.1× 163 1.0× 45 1.1× 20 0.9× 10 0.8× 29 603
Markus Freitag Germany 11 469 0.9× 92 0.6× 31 0.8× 14 0.6× 12 1.0× 38 492
Pradeep Dasigi United States 11 527 1.0× 166 1.1× 62 1.6× 13 0.6× 13 1.1× 23 558
Kelvin Guu United States 8 422 0.8× 153 1.0× 56 1.4× 17 0.7× 4 0.3× 9 481
Shijie Wu United States 9 552 1.0× 145 0.9× 30 0.8× 11 0.5× 14 1.2× 12 577
Alham Fikri Aji United Kingdom 10 388 0.7× 79 0.5× 46 1.1× 8 0.3× 19 1.6× 36 451
Maxime Peyrard Germany 12 557 1.0× 88 0.6× 57 1.4× 32 1.4× 8 0.7× 27 597
Sam Thomson United States 9 592 1.1× 102 0.7× 45 1.1× 49 2.1× 7 0.6× 19 621
Rotem Dror Israel 9 366 0.7× 57 0.4× 51 1.3× 24 1.0× 4 0.3× 13 427
Zhongjun He China 14 599 1.1× 163 1.0× 28 0.7× 29 1.3× 38 3.2× 37 651

Countries citing papers authored by Roee Aharoni

Since Specialization
Citations

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

Fields of papers citing papers by Roee Aharoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roee Aharoni

This figure shows the co-authorship network connecting the top 25 collaborators of Roee Aharoni. A scholar is included among the top collaborators of Roee Aharoni 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 Roee Aharoni. Roee Aharoni 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.
Yona, Gal, Roee Aharoni, & Mor Geva. (2024). Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers. 6737–6751. 2 indexed citations
2.
Shaham, Uri, et al.. (2024). Multilingual Instruction Tuning With Just a Pinch of Multilinguality. 2304–2317. 3 indexed citations
3.
Yona, Gal, Roee Aharoni, Matan Eyal, et al.. (2024). Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?. 7765–7784. 18 indexed citations
4.
Jacovi, Alon, Bernd Bohnet, Jonathan Herzig, et al.. (2024). A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains. 4615–4634.
5.
Yona, Gal, Roee Aharoni, & Mor Geva. (2024). Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?. 7752–7764. 4 indexed citations
6.
Eyal, Matan, et al.. (2023). Multilingual Sequence-to-Sequence Models for Hebrew NLP. 7700–7708. 1 indexed citations
7.
Jacovi, Alon, Avi Caciularu, Jonathan Herzig, et al.. (2023). A Comprehensive Evaluation of Tool-Assisted Generation Strategies. 13856–13878. 2 indexed citations
8.
Clark, Elizabeth A., Shruti Rijhwani, Sebastian Gehrmann, et al.. (2023). SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization Evaluation. 9397–9413. 4 indexed citations
9.
Müller, Benjamin, John Wieting, Jonathan H. Clark, et al.. (2023). Evaluating and Modeling Attribution for Cross-Lingual Question Answering. 144–157. 1 indexed citations
10.
Herzig, Jonathan, et al.. (2023). TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models. 2053–2070. 12 indexed citations
11.
Ferret, Johan, Lior Shani, Roee Aharoni, et al.. (2023). Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback. 6252–6272. 10 indexed citations
12.
Aharoni, Roee, Shashi Narayan, Joshua Maynez, et al.. (2023). Multilingual Summarization with Factual Consistency Evaluation. 3562–3591. 8 indexed citations
13.
Lewenberg, Yoad, et al.. (2023). q2d: Turning Questions into Dialogs to Teach Models How to Search. 13661–13676. 2 indexed citations
14.
Aharoni, Roee, et al.. (2023). DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering. 10056–10070. 9 indexed citations
15.
16.
Honovich, Or, Roee Aharoni, Jonathan Herzig, et al.. (2022). TRUE: Re-evaluating Factual Consistency Evaluation. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 3905–3920. 23 indexed citations
17.
Honovich, Or, et al.. (2021). Q2: : Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 7856–7870. 66 indexed citations
18.
Aharoni, Roee, Melvin Johnson, & Orhan Fırat. (2019). Massively Multilingual Neural Machine Translation. 3874–3884. 211 indexed citations
19.
Aharoni, Roee & Yoav Goldberg. (2018). Split and Rephrase: Better Evaluation and Stronger Baselines. 719–724. 14 indexed citations
20.
Aharoni, Roee, Moshe Koppel, & Yoav Goldberg. (2014). Automatic Detection of Machine Translated Text and Translation Quality Estimation. 289–295. 17 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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