Papers by Hagai Taitelbaum
Multilingual word translation using auxiliary languages (D19-1)
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| Challenge: | Existing multilingual word translation methods focus on learning mappings from each language to a shared space. |
| Approach: | They propose a multilingual translation procedure that uses all the learned mappings to translate a word from one language to another. |
| Outcome: | Experiments on a standard multilingual word translation benchmark show that the proposed translation procedure outperforms state-of-the-art translation methods. |
A Multi-Pairwise Extension of Procrustes Analysis for Multilingual Word Translation (D19-1)
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| Challenge: | Existing approaches to multilingual word embeddings require a k-way dictionary. |
| Approach: | They propose a novel approach to simultaneously representing multiple languages in a common space by using a pairwise bilingual dictionary. |
| Outcome: | The proposed approach requires only pairwise bilingual dictionaries that are much easier to construct. |
A Locally Linear Procedure for Word Translation (2020.coling-main)
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| Challenge: | Existing methods to learn word embeddings of two languages are limited by the expressiveness of the translation model. |
| Approach: | They propose an algorithm that uses multiple orthogonal translation matrices to model the mapping and derive an algorithm to learn these multiple matric. |
| Outcome: | The proposed algorithm achieves better performance in bilingual and cross-lingual word translation tasks compared to the single matrix baseline. |
On Reference (In-)Determinacy in Natural Language Inference (2025.findings-naacl)
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Sihao Chen, Chaitanya Malaviya, Alex Fabrikant, Hagai Taitelbaum, Tal Schuster, Senaka Buthpitiya, Dan Roth
| Challenge: | Using reference determinacy, models fail to recognize context mismatch in NLI examples . |
| Approach: | They propose a benchmark to identify reference ambiguity in NLI examples . they propose RD as a possible assumption for natural language inference . |
| Outcome: | The proposed benchmark identifies reference ambiguity in natural language inference examples . 80% false contradiction and >50% entailment predictions are found . |
TRUE: Re-evaluating Factual Consistency Evaluation (2022.naacl-main)
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Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansy, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, Yossi Matias
| Challenge: | Grounded text generation systems often generate factual inconsistencies, hindering their real-world applicability. |
| Approach: | They propose a method to assess factual consistency metrics on standardized texts . they recommend NLI and question generation-and-answering-based methods as starting points . |
| Outcome: | The proposed method is more actionable and interpretable than previous methods. |
RefVNLI: Towards Scalable Evaluation of Subject-driven Text-to-image Generation (2025.findings-emnlp)
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Aviv Slobodkin, Hagai Taitelbaum, Yonatan Bitton, Brian Gordon, Michal Sokolik, Nitzan Bitton Guetta, Almog Gueta, Royi Rassin, Dani Lischinski, Idan Szpektor
| Challenge: | Existing methods assess only one aspect of the task, misalign with human judgments or rely on costly API-based evaluation. |
| Approach: | RefVNLI evaluates textual alignment and subject preservation in a single run. |
| Outcome: | RefVNLI outperforms or matches existing baselines across multiple benchmarks and subject categories. |