Automatic Detection of Machine Translated Text and Translation Quality Estimation. - Roee Aharoni; Moshe Koppel; Yoav Goldberg (ACL (2), 2014)

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 (SIGMORPHON, 2016)

Sequence to Sequence Transduction with Hard Monotonic Attention. - Roee Aharoni; Yoav Goldberg (CoRR, 2016)

Morphological Inflection Generation with Hard Monotonic Attention. - Roee Aharoni; Yoav Goldberg (ACL (1), 2017)

Towards String-To-Tree Neural Machine Translation. - Roee Aharoni; Yoav Goldberg (ACL (2), 2017)

Split and Rephrase: Better Evaluation and Stronger Baselines. - Roee Aharoni; Yoav Goldberg (ACL (2), 2018)

Split and Rephrase: Better Evaluation and a Stronger Baseline. - Roee Aharoni; Yoav Goldberg (CoRR, 2018)

Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets. - Ohad Rozen; Vered Shwartz; Roee Aharoni; Ido Dagan (CoNLL, 2019)

Massively Multilingual Neural Machine Translation. - Roee Aharoni; Melvin Johnson; Orhan Firat (NAACL-HLT (1), 2019)

Filling Gender & Number Gaps in Neural Machine Translation with Black-box Context Injection. - Amit Moryossef; Roee Aharoni; Yoav Goldberg (CoRR, 2019)

The Missing Ingredient in Zero-Shot Neural Machine Translation. - Naveen Arivazhagan; Ankur Bapna; Orhan Firat; Roee Aharoni; Melvin Johnson; Wolfgang Macherey (CoRR, 2019)

Unsupervised Domain Clusters in Pretrained Language Models. - Roee Aharoni; Yoav Goldberg (ACL, 2020)

Real-Time Sign Language Detection Using Human Pose Estimation. - Amit Moryossef; Ioannis Tsochantaridis; Roee Aharoni; Sarah Ebling; Srini Narayanan (ECCV Workshops (2), 2020)

KoBE: Knowledge-Based Machine Translation Evaluation. - Zorik Gekhman; Roee Aharoni; Genady Beryozkin; Markus Freitag; Wolfgang Macherey (EMNLP (Findings), 2020)

$Q^2$: 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 (EMNLP (1), 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)

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 (NAACL-HLT, 2022)

Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models. - Bernd Bohnet; Vinh Q. Tran 002; Pat Verga; Roee Aharoni; Daniel Andor; Livio Baldini Soares; Jacob Eisenstein; Kuzman Ganchev; Jonathan Herzig; Kai Hui 001; Tom Kwiatkowski; Ji Ma 004; et al. (CoRR, 2022)

mFACE: Multilingual Summarization with Factual Consistency Evaluation. - Roee Aharoni; Shashi Narayan; Joshua Maynez; Jonathan Herzig; Elizabeth Clark; Mirella Lapata (CoRR, 2022)

Multilingual Summarization with Factual Consistency Evaluation. - Roee Aharoni; Shashi Narayan; Joshua Maynez; Jonathan Herzig; Elizabeth Clark; Mirella Lapata (ACL (Findings), 2023)

Multilingual Sequence-to-Sequence Models for Hebrew NLP. - Matan Eyal; Hila Noga; Roee Aharoni; Idan Szpektor; Reut Tsarfaty (ACL (Findings), 2023)

DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering. - Ella Neeman; Roee Aharoni; Or Honovich; Leshem Choshen; Idan Szpektor; Omri Abend (ACL (1), 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; et al. (ACL (1), 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 (EMNLP, 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 001; Ankur P. Parikh (EMNLP, 2023)

TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models. - Zorik Gekhman; Jonathan Herzig; Roee Aharoni; Chen Elkind; Idan Szpektor (EMNLP, 2023)

A Comprehensive Evaluation of Tool-Assisted Generation Strategies. - Alon Jacovi; Avi Caciularu; Jonathan Herzig; Roee Aharoni; Bernd Bohnet; Mor Geva (EMNLP (Findings), 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 001 (EMNLP, 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 (NeurIPS, 2023)

Surfacing Biases in Large Language Models using Contrastive Input Decoding. - Gal Yona; Or Honovich; Itay Laish; Roee Aharoni (CoRR, 2023)

Multilingual Instruction Tuning With Just a Pinch of Multilinguality. - Uri Shaham 002; Jonathan Herzig; Roee Aharoni; Idan Szpektor; Reut Tsarfaty; Matan Eyal (ACL (Findings), 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 001; Roee Aharoni; Mor Geva (ACL (1), 2024)

Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers. - Gal Yona; Roee Aharoni; Mor Geva (ACL (1), 2024)

Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? - Zorik Gekhman; Gal Yona; Roee Aharoni; Matan Eyal; Amir Feder; Roi Reichart; Jonathan Herzig (EMNLP, 2024)

Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words? - Gal Yona; Roee Aharoni; Mor Geva (EMNLP, 2024)

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

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

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)

Localizing Factual Inconsistencies in Attributable Text Generation. - Arie Cattan; Paul Roit; Shiyue Zhang 001; David Wan; Roee Aharoni; Idan Szpektor; Mohit Bansal; Ido Dagan (CoRR, 2024)

Keep Guessing? When Considering Inference Scaling, Mind the Baselines. - Gal Yona; Or Honovich; Omer Levy; Roee Aharoni (NAACL (Findings), 2025)

DRAGged into Conflicts: Detecting and Addressing Conflicting Sources in Search-Augmented LLMs. - Arie Cattan; Alon Jacovi; Ori Ram; Jonathan Herzig; Roee Aharoni; Sasha Goldshtein; Eran Ofek; Idan Szpektor; Avi Caciularu (CoRR, 2025)