Roee Aharoni

According to our database1, Roee Aharoni authored at least 34 papers between 2014 and 2024.

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Bibliography

2024
MiMiC: Minimally Modified Counterfactuals in the Representation Space.
CoRR, 2024

A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains.
CoRR, 2024

Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers.
CoRR, 2024

Multilingual Instruction Tuning With Just a Pinch of Multilinguality.
CoRR, 2024

2023
Surfacing Biases in Large Language Models using Contrastive Input Decoding.
CoRR, 2023

What You See is What You Read? Improving Text-Image Alignment Evaluation.
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.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Comprehensive Evaluation of Tool-Assisted Generation Strategies.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization Evaluation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

q2d: Turning Questions into Dialogs to Teach Models How to Search.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback.
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.
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.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Multilingual Summarization with Factual Consistency Evaluation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
mFACE: Multilingual Summarization with Factual Consistency Evaluation.
CoRR, 2022

Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models.
CoRR, 2022

TRUE: Re-evaluating Factual Consistency Evaluation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021
Q<sup>2</sup>: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering.
CoRR, 2021

$Q^2$: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
KoBE: Knowledge-Based Machine Translation Evaluation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Real-Time Sign Language Detection Using Human Pose Estimation.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Unsupervised Domain Clusters in Pretrained Language Models.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
The Missing Ingredient in Zero-Shot Neural Machine Translation.
CoRR, 2019

Filling Gender & Number Gaps in Neural Machine Translation with Black-box Context Injection.
CoRR, 2019

Massively Multilingual Neural Machine Translation.
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.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

2018
Split and Rephrase: Better Evaluation and a Stronger Baseline.
CoRR, 2018

Split and Rephrase: Better Evaluation and Stronger Baselines.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Towards String-To-Tree Neural Machine Translation.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Morphological Inflection Generation with Hard Monotonic Attention.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Sequence to Sequence Transduction with Hard Monotonic Attention.
CoRR, 2016

Improving Sequence to Sequence Learning for Morphological Inflection Generation: The BIU-MIT Systems for the SIGMORPHON 2016 Shared Task for Morphological Reinflection.
Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, 2016

2014
Automatic Detection of Machine Translated Text and Translation Quality Estimation.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014


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