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2025

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48
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10577
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359
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Computer Science

D-Index
49
Citations
8841
World Ranking
5928
National Ranking
92

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Yonatan Belinkov is affiliated with the Technion - Israel Institute of Technology in Israel. Their research spans multiple areas within computer science, with a significant focus on artificial intelligence. They have contributed extensively to the understanding and development of models related to natural language processing and machine learning.

Their research record includes numerous publications, notably in venues such as arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), the Proceedings of the AAAI Conference on Artificial Intelligence, Computational Linguistics, and Bioinformatics. The highest concentration of their work appears in arXiv with 75 publications.

Belinkov's primary fields of study include:

  • Computer Science

Their research subfields encompass:

  • Artificial Intelligence
  • Molecular Biology
  • Computer Vision and Pattern Recognition
  • Experimental and Cognitive Psychology
  • Electrical and Electronic Engineering

Key topics of their work are:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Explainable Artificial Intelligence (XAI)
  • Multimodal Machine Learning Applications
  • Genomics and Phylogenetic Studies
  • Speech Recognition and Synthesis
  • Machine Learning in Bioinformatics

Recent papers authored or co-authored by Belinkov include:

  • Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks, 2024, arXiv (Cornell University)
  • Locating and Editing Factual Associations in GPT, 2022, arXiv (Cornell University)
  • End-to-End Bias Mitigation by Modelling Biases in Corpora, 2020, Infoscience (Ecole Polytechnique Fédérale de Lausanne)
  • Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias, 2020, arXiv (Cornell University)
  • Mass-Editing Memory in a Transformer, 2022, arXiv (Cornell University)

Frequent collaborators in their research include:

  • Hadas Orgad
  • David Bau
  • Aaron Mueller
  • Edo Dotan
  • Tal Pupko

Best Publications

  • BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

    Unknown

  • Linguistic Knowledge and Transferability of Contextual Representations

    Nelson F. Liu;Matt Gardner;Yonatan Belinkov;Matthew E. Peters

  • Synthetic and Natural Noise Both Break Neural Machine Translation

    Yonatan Belinkov;Yonatan Bisk

  • Analysis Methods in Neural Language Processing: A Survey.

    Yonatan Belinkov;James R. Glass

  • Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks

    Yossi Adi;Einat Kermany;Yonatan Belinkov;Ofer Lavi

  • What do neural machine translation models learn about morphology

    Yonatan Belinkov;Nadir Durrani;Fahim Dalvi;Hassan Sajjad

  • Analyzing the Structure of Attention in a Transformer Language Model

    Jesse Vig;Yonatan Belinkov

  • End-to-End Bias Mitigation by Modelling Biases in Corpora

    Rabeeh Karimi Mahabadi;Yonatan Belinkov;James Henderson

  • Mass-Editing Memory in a Transformer

    Unknown

  • Probing Classifiers: Promises, Shortcomings, and Advances

    Yonatan Belinkov

  • Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks

    Yonatan Belinkov;Lluís Màrquez;Hassan Sajjad;Nadir Durrani

  • Investigating Gender Bias in Language Models Using Causal Mediation Analysis

    Jesse Vig;Sebastian Gehrmann;Yonatan Belinkov;Sharon Qian

  • Identifying and Controlling Important Neurons in Neural Machine Translation

    Anthony Bau;Yonatan Belinkov;Hassan Sajjad;Nadir Durrani

  • What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models.

    Fahim Dalvi;Nadir Durrani;Hassan Sajjad;Yonatan Belinkov

  • Analyzing Hidden Representations in End-to-End Automatic Speech Recognition Systems

    Yonatan Belinkov;James R. Glass

  • Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias

    Jesse Vig;Sebastian Gehrmann;Yonatan Belinkov;Sharon Qian

  • Proceedings of the 2018 EMNLP Workshop BlackboxNLP : Analyzing and Interpreting Neural Networks for NLP

    Tal Linzen;Grzegorz Chrupala;Yonatan Belinkov;Dieuwke Hupkes

  • Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects

    Gabriel Grand;Yonatan Belinkov

  • Don’t Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference

    Yonatan Belinkov;Adam Poliak;Stuart Shieber;Benjamin Van Durme

  • A Constructive Prediction of the Generalization Error Across Scales

    Jonathan S. Rosenfeld;Amir Rosenfeld;Yonatan Belinkov;Nir Shavit

  • Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance?

    Abhilasha Ravichander;Yonatan Belinkov;Eduard H. Hovy

  • Analyzing Individual Neurons in Pre-trained Language Models

    Nadir Durrani;Hassan Sajjad;Fahim Dalvi;Yonatan Belinkov

  • Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models

    Matthew Finlayson;Aaron Mueller;Sebastian Gehrmann;Stuart Shieber

Frequent Co-Authors

Stuart M. Shieber
Stuart M. Shieber Harvard University
Benjamin Van Durme
Benjamin Van Durme Johns Hopkins University
Alexander M. Rush
Alexander M. Rush Cornell University
Alberto Barrón-Cedeño
Alberto Barrón-Cedeño University of Bologna
Frank Keller
Frank Keller University of Edinburgh
Yoav Goldberg
Yoav Goldberg Bar-Ilan University
Graham Neubig
Graham Neubig Carnegie Mellon University
Philipp Koehn
Philipp Koehn Johns Hopkins University
Adam Kilgarriff
Adam Kilgarriff Lexical Computing Ltd,

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