NLPExplorer

Yonatan Belinkov

Number of Papers:- 67

Number of Citations:- 118

First ACL Paper:- 2013

Latest ACL Paper:- 2024

Venues:-

NAACL

NLP4ConvAI

NEJLT

BlackboxNLP

COLING

EMNLP

LT4DH

GeBNLP

SIGMORPHON

VarDial

TACL

ACL

SCiL

EACL

RepL4NLP

WMT

*SEMEVAL

IJCNLP

*SEM

WANLP

IWSLT

Co-Authors:-

Aaron Mueller

Abdelrhman Saleh

Abhilasha Ravichander

Adam Poliak

Adi Zicher

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Instructed to Bias: Instruction-Tuned Language Models Exhibit Emergent Cognitive Bias TACL

Itay Itzhak | Gabriel Stanovsky | Nir Rosenfeld | Yonatan Belinkov |

Leveraging Prototypical Representations for Mitigating Social Bias without Demographic Information NAACL

Shadi Iskander | Kira Radinsky | Yonatan Belinkov |

A Dataset for Metaphor Detection in Early Medieval Hebrew Poetry EACL

Generating Benchmarks for Factuality Evaluation of Language Models EACL

ContraSim – Analyzing Neural Representations Based on Contrastive Learning NAACL

Adir Rahamim | Yonatan Belinkov |

Learning from Others: Similarity-based Regularization for Mitigating Dataset Bias. RepL4NLP WS

Reda Igbaria | Yonatan Belinkov |

Concept-Best-Matching: Evaluating Compositionality In Emergent Communication F i n d i n g s - A C L

Boaz Carmeli | Yonatan Belinkov | Ron Meir |

Diffusion Lens: Interpreting Text Encoders in Text-to-Image Pipelines ACL

ReFACT: Updating Text-to-Image Models by Editing the Text Encoder NAACL

Dana Arad | Hadas Orgad | Yonatan Belinkov |

Fast Forwarding Low-Rank Training EMNLP

Adir Rahamim | Naomi Saphra | Sara Kangaslahti | Yonatan Belinkov |

Backward Lens: Projecting Language Model Gradients into the Vocabulary Space EMNLP

Shahar Katz | Yonatan Belinkov | Mor Geva | Lior Wolf |

When Language Models Fall in Love: Animacy Processing in Transformer Language Models EMNLP

Michael Hanna | Yonatan Belinkov | Sandro Pezzelle |

Parallel Context Windows for Large Language Models ACL

What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary ACL

VISIT: Visualizing and Interpreting the Semantic Information Flow of Transformers F i n d i n g s - E M N L P

Shahar Katz | Yonatan Belinkov |

Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP BlackboxNLP WS

A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis EMNLP

Alessandro Stolfo | Yonatan Belinkov | Mrinmaya Sachan |

Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection F i n d i n g s - A C L

Shadi Iskander | Kira Radinsky | Yonatan Belinkov |

BLIND: Bias Removal With No Demographics ACL

Hadas Orgad | Yonatan Belinkov |

Probing Classifiers: Promises, Shortcomings, and Advances CL

Yonatan Belinkov |

Choose Your Lenses: Flaws in Gender Bias Evaluation GeBNLP NAACL

Hadas Orgad | Yonatan Belinkov |

A Generative Approach for Mitigating Structural Biases in Natural Language Inference *SEM NAACL

Dimion Asael | Zachary Ziegler | Yonatan Belinkov |

How Gender Debiasing Affects Internal Model Representations, and Why It Matters NAACL

Hadas Orgad | Seraphina Goldfarb-Tarrant | Yonatan Belinkov |

A Multilingual Perspective Towards the Evaluation of Attribution Methods in Natural Language Inference EMNLP

Kerem Zaman | Yonatan Belinkov |

Part-of-Speech and Morphological Tagging of Algerian Judeo-Arabic NEJLT

Ofra Tirosh-Becker | Michal Kessler | Oren Becker | Yonatan Belinkov |

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

Abhilasha Ravichander | Yonatan Belinkov | Eduard Hovy |

Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP BlackboxNLP EMNLP

Debiasing Methods in Natural Language Understanding Make Bias More Accessible EMNLP

Michael Mendelson | Yonatan Belinkov |

Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models ACL IJCNLP

Probing Neural Dialog Models for Conversational Understanding ACL NLP4ConvAI WS

Similarity Analysis of Contextual Word Representation Models ACL

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

Rabeeh Karimi Mahabadi | Yonatan Belinkov | James Henderson |

The Sensitivity of Language Models and Humans to Winograd Schema Perturbations ACL

Interpretability and Analysis in Neural NLP ACL

Yonatan Belinkov | Sebastian Gehrmann | Ellie Pavlick |

On the Linguistic Representational Power of Neural Machine Translation Models CL

Findings of the WMT 2020 Shared Task on Machine Translation Robustness EMNLP WMT

Analyzing Individual Neurons in Pre-trained Language Models EMNLP

Nadir Durrani | Hassan Sajjad | Fahim Dalvi | Yonatan Belinkov |

Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP BlackboxNLP EMNLP

Analyzing Redundancy in Pretrained Transformer Models EMNLP

Fahim Dalvi | Hassan Sajjad | Nadir Durrani | Yonatan Belinkov |

Linguistic Knowledge and Transferability of Contextual Representations NAACL

One Size Does Not Fit All: Comparing NMT Representations of Different Granularities NAACL

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

Improving Neural Language Models by Segmenting, Attending, and Predicting the Future ACL

Hongyin Luo | Lan Jiang | Yonatan Belinkov | James Glass |

Analysis Methods in Neural Language Processing: A Survey TACL

Yonatan Belinkov | James Glass |

On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference *SEMEVAL

On Evaluating the Generalization of LSTM Models in Formal Languages SCiL WS

Mirac Suzgun | Yonatan Belinkov | Stuart M. Shieber |

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

Gabriel Grand | Yonatan Belinkov |

LSTM Networks Can Perform Dynamic Counting ACL WS

Mirac Suzgun | Yonatan Belinkov | Stuart Shieber | Sebastian Gehrmann |

Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP ACL WS

Tal Linzen | Grzegorz Chrupała | Yonatan Belinkov | Dieuwke Hupkes |

Analyzing the Structure of Attention in a Transformer Language Model ACL WS

Jesse Vig | Yonatan Belinkov |

Findings of the First Shared Task on Machine Translation Robustness ACL WMT WS

On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference NAACL

Adam Poliak | Yonatan Belinkov | James Glass | Benjamin Van Durme |

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

Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder IJCNLP

What do Neural Machine Translation Models Learn about Morphology? ACL

Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging ACL

Improving Sequence to Sequence Learning for Morphological Inflection Generation: The BIU-MIT Systems for the SIGMORPHON 2016 Shared Task for Morphological Reinflection SIGMORPHON WS

Roee Aharoni | Yoav Goldberg | Yonatan Belinkov |