---
title: "Who cites Detecting and Mitigating — 64 citing papers"
description: "64 papers of the Elamur Research library cite «Detecting and Mitigating Hallucinations in Machine Translation: Model Internal Workings Alone…"
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---
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# Who cites «Detecting and Mitigating Hallucinations in Machine Translation: Model Internal Workings Alone Do Well, Sentence Similarity Even Better»

64 papers of our library cite it (of the 141,840 whose bibliographies we read) · 9 with a page here, the most cited first · [← back to «Detecting and Mitigating Hallucinations in Machine Translation: Model Internal Workings Alone Do Well, Sentence Similarity Even Better»](https://md.research.elamur.ai/free/en/papers/dale-2023-detecting-mitigating-hallucinations-machine-translation/)

1. [**Seamless: Multilingual Expressive and Streaming Speech Translation arXiv:2312.05187**Seamless Communication, Loic Barrault, Yu-An Chung, et al.*2023 · 171 citations*](https://md.research.elamur.ai/free/en/papers/communication-2023-seamless-multilingual-expressive-streaming-speech/) **[The Troubling Emergence of Hallucination in Large Language Models - An Extensive Definition, Quantification, and Prescriptive Remediations](https://md.research.elamur.ai/free/en/papers/rawte-2023-troubling-emergence-hallucination-large-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Vipula Rawte, Swagata Chakraborty, Agnibh Pathak, et al.*2023 · 170 citations* **[Findings of the WMT 2023 Shared Task on Quality Estimation](https://md.research.elamur.ai/free/en/papers/blain-2023-findings-wmt-2023-shared-task/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Frederic Blain, Chrysoula Zerva, Ricardo Rei, et al.*2023 · 129 citations* **[Inseq: An Interpretability Toolkit for Sequence Generation Models](https://md.research.elamur.ai/free/en/papers/sarti-2023-inseq-interpretability-toolkit-sequence-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gabriele Sarti, Nils Feldhus, Ludwig Sickert, et al.*2023 · 96 citations* **[Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification](https://md.research.elamur.ai/free/en/papers/fadeeva-2024-fact-checking-output-large-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ekaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov, et al.*2024 · 95 citations* **[Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets](https://md.research.elamur.ai/free/en/papers/moghe-2025-machine-translation-meta-evaluation-through/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Nikita Moghe, Arnisa Fazla, Chantal Amrhein, et al.*2025 · 28 citations*

55 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/dale-2023-detecting-mitigating-hallucinations-machine-translation/) — Detecting and Mitigating Hallucinations in Machine Translation: Model Internal Workings Alone Do Well, Sentence Similarity Even Better