Roee Aharoni

According to our database, Roee Aharoni authored at least 41 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Keep Guessing? When Considering Inference Scaling, Mind the Baselines.

Gal Yona, Or Honovich, Omer Levy, Roee Aharoni

CoRR, 2024

Localizing Factual Inconsistencies in Attributable Text Generation.

Arie Cattan, Paul Roit, Shiyue Zhang, David Wan, Roee Aharoni, Idan Szpektor, Mohit Bansal, Ido Dagan

CoRR, 2024

Beneath the Surface of Consistency: Exploring Cross-lingual Knowledge Representation Sharing in LLMs.

Maxim Ifergan, Leshem Choshen, Roee Aharoni, Idan Szpektor, Omri Abend

CoRR, 2024

Can Few-shot Work in Long-Context? Recycling the Context to Generate Demonstrations.

Arie Cattan, Alon Jacovi, Alex Fabrikant, Jonathan Herzig, Roee Aharoni, Hannah Rashkin, Dror Marcus, Avinatan Hassidim, Yossi Matias, Idan Szpektor, Avi Caciularu

CoRR, 2024

MiMiC: Minimally Modified Counterfactuals in the Representation Space.

Shashwat Singh, Shauli Ravfogel, Jonathan Herzig, Roee Aharoni, Ryan Cotterell, Ponnurangam Kumaraguru

CoRR, 2024

Representation Surgery: Theory and Practice of Affine Steering.

Shashwat Singh, Shauli Ravfogel, Jonathan Herzig, Roee Aharoni, Ryan Cotterell, Ponnurangam Kumaraguru

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?

Gal Yona, Roee Aharoni, Mor Geva

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Zorik Gekhman, Gal Yona, Roee Aharoni, Matan Eyal, Amir Feder, Roi Reichart, Jonathan Herzig

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers.

Gal Yona, Roee Aharoni, Mor Geva

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains.

Alon Jacovi, Yonatan Bitton, Bernd Bohnet, Jonathan Herzig, Or Honovich, Michael Tseng, Michael Collins, Roee Aharoni, Mor Geva

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Multilingual Instruction Tuning With Just a Pinch of Multilinguality.

Uri Shaham, Jonathan Herzig, Roee Aharoni, Idan Szpektor, Reut Tsarfaty, Matan Eyal

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Surfacing Biases in Large Language Models using Contrastive Input Decoding.

Gal Yona, Or Honovich, Itay Laish, Roee Aharoni

CoRR, 2023

What You See is What You Read? Improving Text-Image Alignment Evaluation.

Michal Yarom, Yonatan Bitton, Soravit Changpinyo, Roee Aharoni, Jonathan Herzig, Oran Lang, Eran Ofek, Idan Szpektor

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Evaluating and Modeling Attribution for Cross-Lingual Question Answering.

Benjamin Muller, John Wieting, Jonathan H. Clark, Tom Kwiatkowski, Sebastian Ruder, Livio Soares, Roee Aharoni, Jonathan Herzig, Xinyi Wang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Comprehensive Evaluation of Tool-Assisted Generation Strategies.

Alon Jacovi, Avi Caciularu, Jonathan Herzig, Roee Aharoni, Bernd Bohnet, Mor Geva

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models.

Zorik Gekhman, Jonathan Herzig, Roee Aharoni, Chen Elkind, Idan Szpektor

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization Evaluation.

Elizabeth Clark, Shruti Rijhwani, Sebastian Gehrmann, Joshua Maynez, Roee Aharoni, Vitaly Nikolaev, Thibault Sellam, Aditya Siddhant, Dipanjan Das, Ankur P. Parikh

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

q2d: Turning Questions into Dialogs to Teach Models How to Search.

Yonatan Bitton, Shlomi Cohen-Ganor, Ido Hakimi, Yoad Lewenberg, Roee Aharoni, Enav Weinreb

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback.

Paul Roit, Johan Ferret, Lior Shani, Roee Aharoni, Geoffrey Cideron, Robert Dadashi, Matthieu Geist, Sertan Girgin, Léonard Hussenot, Orgad Keller, Nikola Momchev, Sabela Ramos Garea, Piotr Stanczyk, Nino Vieillard, Olivier Bachem, Gal Elidan, Avinatan Hassidim, Olivier Pietquin, Idan Szpektor

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering.

Ella Neeman, Roee Aharoni, Or Honovich, Leshem Choshen, Idan Szpektor, Omri Abend

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Multilingual Sequence-to-Sequence Models for Hebrew NLP.

Matan Eyal, Hila Noga, Roee Aharoni, Idan Szpektor, Reut Tsarfaty

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Multilingual Summarization with Factual Consistency Evaluation.

Roee Aharoni, Shashi Narayan, Joshua Maynez, Jonathan Herzig, Elizabeth Clark, Mirella Lapata

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

mFACE: Multilingual Summarization with Factual Consistency Evaluation.

Roee Aharoni, Shashi Narayan, Joshua Maynez, Jonathan Herzig, Elizabeth Clark, Mirella Lapata

CoRR, 2022

Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models.

Bernd Bohnet, Vinh Q. Tran, Pat Verga, Roee Aharoni, Daniel Andor, Livio Baldini Soares, Jacob Eisenstein, Kuzman Ganchev, Jonathan Herzig, Kai Hui, Tom Kwiatkowski, Ji Ma, Jianmo Ni, Tal Schuster, William W. Cohen, Michael Collins, Dipanjan Das, Donald Metzler, Slav Petrov, Kellie Webster

CoRR, 2022

TRUE: Re-evaluating Factual Consistency Evaluation.

Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansky, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, Yossi Matias

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021

Q²: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering.

Or Honovich, Leshem Choshen, Roee Aharoni, Ella Neeman, Idan Szpektor, Omri Abend

CoRR, 2021

$Q^2$: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering.

Or Honovich, Leshem Choshen, Roee Aharoni, Ella Neeman, Idan Szpektor, Omri Abend

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

KoBE: Knowledge-Based Machine Translation Evaluation.

Zorik Gekhman, Roee Aharoni, Genady Beryozkin, Markus Freitag, Wolfgang Macherey

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Real-Time Sign Language Detection Using Human Pose Estimation.

Amit Moryossef, Ioannis Tsochantaridis, Roee Aharoni, Sarah Ebling, Srini Narayanan

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Unsupervised Domain Clusters in Pretrained Language Models.

Roee Aharoni, Yoav Goldberg

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

The Missing Ingredient in Zero-Shot Neural Machine Translation.

Naveen Arivazhagan, Ankur Bapna, Orhan Firat, Roee Aharoni, Melvin Johnson, Wolfgang Macherey

CoRR, 2019

Filling Gender & Number Gaps in Neural Machine Translation with Black-box Context Injection.

Amit Moryossef, Roee Aharoni, Yoav Goldberg

CoRR, 2019

Massively Multilingual Neural Machine Translation.

Roee Aharoni, Melvin Johnson, Orhan Firat

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets.

Ohad Rozen, Vered Shwartz, Roee Aharoni, Ido Dagan

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

2018

Split and Rephrase: Better Evaluation and a Stronger Baseline.

Roee Aharoni, Yoav Goldberg

CoRR, 2018

Split and Rephrase: Better Evaluation and Stronger Baselines.

Roee Aharoni, Yoav Goldberg

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Towards String-To-Tree Neural Machine Translation.

Roee Aharoni, Yoav Goldberg

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Morphological Inflection Generation with Hard Monotonic Attention.

Roee Aharoni, Yoav Goldberg

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Sequence to Sequence Transduction with Hard Monotonic Attention.

Roee Aharoni, Yoav Goldberg

CoRR, 2016

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

Roee Aharoni, Yoav Goldberg, Yonatan Belinkov

Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, 2016

2014

Automatic Detection of Machine Translated Text and Translation Quality Estimation.

Roee Aharoni, Moshe Koppel, Yoav Goldberg

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014