Can LSTM Learn to Capture Agreement? The Case of Basque. - Shauli Ravfogel; Yoav Goldberg; Francis M. Tyers (BlackboxNLP@EMNLP, 2018)

Studying the Inductive Biases of RNNs with Synthetic Variations of Natural Languages. - Shauli Ravfogel; Yoav Goldberg; Tal Linzen (NAACL-HLT (1), 2019)

Ab Antiquo: Proto-language Reconstruction with RNNs. - Carlo Meloni; Shauli Ravfogel; Yoav Goldberg (CoRR, 2019)

The Extraordinary Failure of Complement Coercion Crowdsourcing. - Yanai Elazar; Victoria Basmova; Shauli Ravfogel; Yoav Goldberg; Reut Tsarfaty (Insights, 2020)

Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection. - Shauli Ravfogel; Yanai Elazar; Hila Gonen; Michael Twiton; Yoav Goldberg (ACL, 2020)

It's not Greek to mBERT: Inducing Word-Level Translations from Multilingual BERT. - Hila Gonen; Shauli Ravfogel; Yanai Elazar; Yoav Goldberg (BlackboxNLP@EMNLP, 2020)

Unsupervised Distillation of Syntactic Information from Contextualized Word Representations. - Shauli Ravfogel; Yanai Elazar; Jacob Goldberger; Yoav Goldberg (BlackboxNLP@EMNLP, 2020)

When Bert Forgets How To POS: Amnesic Probing of Linguistic Properties and MLM Predictions. - Yanai Elazar; Shauli Ravfogel; Alon Jacovi; Yoav Goldberg (CoRR, 2020)

Neural Extractive Search. - Shauli Ravfogel; Hillel Taub-Tabib; Yoav Goldberg (ACL (demo), 2021)

Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction. - Shauli Ravfogel; Grusha Prasad; Tal Linzen; Yoav Goldberg (CoNLL, 2021)

Contrastive Explanations for Model Interpretability. - Alon Jacovi; Swabha Swayamdipta; Shauli Ravfogel; Yanai Elazar; Yejin Choi 001; Yoav Goldberg (EMNLP (1), 2021)

Ab Antiquo: Neural Proto-language Reconstruction. - Carlo Meloni; Shauli Ravfogel; Yoav Goldberg (NAACL-HLT, 2021)

Measuring and Improving Consistency in Pretrained Language Models. - Yanai Elazar; Nora Kassner; Shauli Ravfogel; Abhilasha Ravichander; Eduard H. Hovy; Hinrich Schütze; Yoav Goldberg (Trans. Assoc. Comput. Linguistics, 2021)

Erratum: Measuring and Improving Consistency in Pretrained Language Models. - Yanai Elazar; Nora Kassner; Shauli Ravfogel; Abhilasha Ravichander; Eduard H. Hovy; Hinrich Schütze; Yoav Goldberg (Trans. Assoc. Comput. Linguistics, 2021)

Amnesic Probing: Behavioral Explanation With Amnesic Counterfactuals. - Yanai Elazar; Shauli Ravfogel; Alon Jacovi; Yoav Goldberg (Trans. Assoc. Comput. Linguistics, 2021)

BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models. - Elad Ben Zaken; Yoav Goldberg; Shauli Ravfogel (ACL (2), 2022)

DALLE-2 is Seeing Double: Flaws in Word-to-Concept Mapping in Text2Image Models. - Royi Rassin; Shauli Ravfogel; Yoav Goldberg (BlackboxNLP@EMNLP, 2022)

Adversarial Concept Erasure in Kernel Space. - Shauli Ravfogel; Francisco Vargas 001; Yoav Goldberg; Ryan Cotterell (EMNLP, 2022)

Linear Adversarial Concept Erasure. - Shauli Ravfogel; Michael Twiton; Yoav Goldberg; Ryan Cotterell (ICML, 2022)

Analyzing Gender Representation in Multilingual Models. - Hila Gonen; Shauli Ravfogel; Yoav Goldberg (RepL4NLP@ACL, 2022)

Measuring Causal Effects of Data Statistics on Language Model's 'Factual' Predictions. - Yanai Elazar; Nora Kassner; Shauli Ravfogel; Amir Feder; Abhilasha Ravichander; Marius Mosbach; Yonatan Belinkov; Hinrich Schütze; Yoav Goldberg (CoRR, 2022)

Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation. - Marius Mosbach; Tiago Pimentel; Shauli Ravfogel; Dietrich Klakow; Yanai Elazar (ACL (Findings), 2023)

Linear Guardedness and its Implications. - Shauli Ravfogel; Yoav Goldberg; Ryan Cotterell (ACL (1), 2023)

Conformal Nucleus Sampling. - Shauli Ravfogel; Yoav Goldberg; Jacob Goldberger (ACL (Findings), 2023)

Guiding LLM to Fool Itself: Automatically Manipulating Machine Reading Comprehension Shortcut Triggers. - Mosh Levy; Shauli Ravfogel; Yoav Goldberg (EMNLP (Findings), 2023)

The Curious Case of Hallucinatory (Un)answerability: Finding Truths in the Hidden States of Over-Confident Large Language Models. - Aviv Slobodkin; Omer Goldman; Avi Caciularu; Ido Dagan; Shauli Ravfogel (EMNLP, 2023)

LEACE: Perfect linear concept erasure in closed form. - Nora Belrose; David Schneider-Joseph; Shauli Ravfogel; Ryan Cotterell; Edward Raff; Stella Biderman (NeurIPS, 2023)

Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment. - Royi Rassin; Eran Hirsch; Daniel Glickman; Shauli Ravfogel; Yoav Goldberg; Gal Chechik (NeurIPS, 2023)

Retrieving Texts based on Abstract Descriptions. - Shauli Ravfogel; Valentina Pyatkin; Amir David Nissan Cohen; Avshalom Manevich; Yoav Goldberg (CoRR, 2023)

All Roads Lead to Rome? Exploring the Invariance of Transformers' Representations. - Yuxin Ren; Qipeng Guo; Zhijing Jin 001; Shauli Ravfogel; Mrinmaya Sachan; Bernhard Schölkopf; Ryan Cotterell (CoRR, 2023)

The Curious Case of Hallucinatory Unanswerablity: Finding Truths in the Hidden States of Over-Confident Large Language Models. - Aviv Slobodkin; Omer Goldman; Avi Caciularu; Ido Dagan; Shauli Ravfogel (CoRR, 2023)

Visual Comparison of Language Model Adaptation. - Rita Sevastjanova; Eren Cakmak; Shauli Ravfogel; Ryan Cotterell; Mennatallah El-Assady (IEEE Trans. Vis. Comput. Graph., 2023)

Language Concept Erasure for Language-invariant Dense Retrieval. - Zhiqi Huang 002; Puxuan Yu; Shauli Ravfogel; James Allan (EMNLP, 2024)

Representation Surgery: Theory and Practice of Affine Steering. - Shashwat Singh; Shauli Ravfogel; Jonathan Herzig; Roee Aharoni; Ryan Cotterell; Ponnurangam Kumaraguru (ICML, 2024)

On Affine Homotopy between Language Encoders. - Robin Chan; Reda Boumasmoud; Anej Svete; Yuxin Ren; Qipeng Guo; Zhijing Jin 001; Shauli Ravfogel; Mrinmaya Sachan; Bernhard Schölkopf; Mennatallah El-Assady; Ryan Cotterell (NeurIPS, 2024)

MiMiC: Minimally Modified Counterfactuals in the Representation Space. - Shashwat Singh; Shauli Ravfogel; Jonathan Herzig; Roee Aharoni; Ryan Cotterell; Ponnurangam Kumaraguru (CoRR, 2024)

What Changed? Converting Representational Interventions to Natural Language. - Matan Avitan; Ryan Cotterell; Yoav Goldberg; Shauli Ravfogel (CoRR, 2024)

Language Imbalance Can Boost Cross-lingual Generalisation. - Anton Schäfer; Shauli Ravfogel; Thomas Hofmann 001; Tiago Pimentel; Imanol Schlag (CoRR, 2024)

Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces. - Yihuai Hong; Lei Yu; Shauli Ravfogel; Haiqin Yang; Mor Geva (CoRR, 2024)

GRADE: Quantifying Sample Diversity in Text-to-Image Models. - Royi Rassin; Aviv Slobodkin; Shauli Ravfogel; Yanai Elazar; Yoav Goldberg (CoRR, 2024)

Counterfactual Generation from Language Models. - Shauli Ravfogel; Anej Svete; Vésteinn Snæbjarnarson; Ryan Cotterell (CoRR, 2024)

Diversity Over Quantity: A Lesson From Few Shot Relation Classification. - Amir David Nissan Cohen; Shauli Ravfogel; Shaltiel Shmidman; Yoav Goldberg (CoRR, 2024)

Gumbel Counterfactual Generation From Language Models. - Shauli Ravfogel; Anej Svete; Vésteinn Snæbjarnarson; Ryan Cotterell (ICLR, 2025)

A Practical Method for Generating String Counterfactuals. - Matan Avitan; Ryan Cotterell; Yoav Goldberg; Shauli Ravfogel (NAACL (Findings), 2025)

RELIC: Evaluating Compositional Instruction Following via Language Recognition. - Jackson Petty; Michael Y. Hu; Wentao Wang; Shauli Ravfogel; William Merrill; Tal Linzen (CoRR, 2025)

Preserving Task-Relevant Information Under Linear Concept Removal. - Floris Holstege; Shauli Ravfogel; Bram Wouters (CoRR, 2025)

The Medium Is Not the Message: Deconfounding Text Embeddings via Linear Concept Erasure. - Yu Fan; Yang Tian; Shauli Ravfogel; Mrinmaya Sachan; Elliott Ash; Alexander Miserlis Hoyle (CoRR, 2025)

IQ Test for LLMs: An Evaluation Framework for Uncovering Core Skills in LLMs. - Aviya Maimon; Amir David Nissan Cohen; Gal Vishne; Shauli Ravfogel; Reut Tsarfaty (CoRR, 2025)