---
title: "Who cites Xing Niu — 366 papers of our library"
description: "366 papers of the Elamur Research library cite the works of Xing Niu, found in their bibliographies; the most cited first."
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---
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# Who cites Xing Niu

458 citations of their works from 366 papers of our library (of the 149,439 whose bibliographies we read) · 43 with a page here, the most cited first · [← Xing Niu](https://md.research.elamur.ai/free/en/authors/xing-niu/)

1. **[Adversarial Example Generation with Syntactically Controlled Paraphrase Networks](https://md.research.elamur.ai/free/en/papers/iyyer-2018-adversarial-example-generation-syntactically-controlled/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Mohit Iyyer, John Wieting, Kevin Gimpel, et al.*2018 · 938 citations*
2. [**Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer**Sudha Rao, Joel Tetreault*2018 · 582 citations*](https://md.research.elamur.ai/free/en/papers/rao-2018-dear-sir-or-madam-may/)
3. **[Style Transfer Through Back-Translation](https://md.research.elamur.ai/free/en/papers/prabhumoye-2018-style-transfer-through-back-translation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shrimai Prabhumoye, Yulia Tsvetkov, Ruslan Salakhutdinov, et al.*2018 · 558 citations*
4. **[Unsupervised Domain Clusters in Pretrained Language Models](https://md.research.elamur.ai/free/en/papers/aharoni-2020-unsupervised-domain-clusters-pretrained-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Roee Aharoni, Yoav Goldberg*2020 · 330 citations*
5. **[Handling Divergent Reference Texts when Evaluating Table-to-Text Generation](https://md.research.elamur.ai/free/en/papers/dhingra-2019-handling-divergent-reference-texts-when/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bhuwan Dhingra, Manaal Faruqui, Ankur Parikh, et al.*2019 · 268 citations*
6. [**Qwen2-Audio Technical Report arXiv:2407.10759**Yunfei Chu, Jin Xu, Qian Yang, et al.*2024 · 238 citations*](https://md.research.elamur.ai/free/en/papers/chu-2024-qwen2-audio-technical-report/)
7. [**Qwen2.5-Omni Technical Report arXiv:2503.20215**Jin Xu, Zhifang Guo, Jinzheng He, et al.*2025 · 227 citations*](https://md.research.elamur.ai/free/en/papers/xu-2025-qwen2-5-omni-technical/)
8. [**Tower: An Open Multilingual Large Language Model for Translation-Related Tasks arXiv:2402.17733**Duarte M. Alves, Jose Pombal, Nuno M. Guerreiro, et al.*2024 · 227 citations*](https://md.research.elamur.ai/free/en/papers/alves-2024-tower-open-multilingual-large-language/)
9. [**SeamlessM4T: Massively Multilingual & Multimodal Machine Translation arXiv:2308.11596**Seamless Communication, Loic Barrault, Yu-An Chung, et al.*2023 · 183 citations*](https://md.research.elamur.ai/free/en/papers/communication-2023-seamlessm4t-massively-multilingual-multimodal-machine/)
10. **[Findings of the WMT 2018 Shared Task on Parallel Corpus Filtering](https://md.research.elamur.ai/free/en/papers/koehn-2018-findings-wmt-2018-shared-task/) [Conference on Machine Translation: Shared Task Papers](https://md.research.elamur.ai/free/en/venues/conference-on-machine-translation-shared-task-papers/)**Philipp Koehn, Huda Khayrallah, Kenneth Heafield, et al.*2018 · 181 citations*
11. **[Findings of the IWSLT 2022 Evaluation Campaign](https://md.research.elamur.ai/free/en/papers/anastasopoulos-2022-findings-iwslt-2022-evaluation-campaign/) [International Conference on Spoken Language Translation (IWSLT)](https://md.research.elamur.ai/free/en/venues/iwslt/)**Antonios Anastasopoulos, Loïc Barrault, Luisa Bentivogli, et al.*2022 · 177 citations*
12. [**Seamless: Multilingual Expressive and Streaming Speech Translation arXiv:2312.05187**Seamless Communication, Loic Barrault, Yu-An Chung, et al.*2023 · 172 citations*](https://md.research.elamur.ai/free/en/papers/communication-2023-seamless-multilingual-expressive-streaming-speech/)
13. **[FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN](https://md.research.elamur.ai/free/en/papers/agarwal-2023-findings-iwslt-2023-evaluation-campaign/) [International Conference on Spoken Language Translation (IWSLT)](https://md.research.elamur.ai/free/en/venues/iwslt/)**Milind Agarwal, Sweta Agrawal, Antonios Anastasopoulos, et al.*2023 · 152 citations*
14. **[Trivial Transfer Learning for Low-Resource Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/kocmi-2018-trivial-transfer-learning-low-resource/) [Conference on Machine Translation: Research Papers](https://md.research.elamur.ai/free/en/venues/conference-on-machine-translation-research-papers/)**Tom Kocmi, Ondřej Bojar*2018 · 141 citations*
15. **[APE at Scale and Its Implications on MT Evaluation Biases](https://md.research.elamur.ai/free/en/papers/freitag-2019-ape-scale-its-implications-mt/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Markus Freitag, Isaac Caswell, Scott Roy*2019 · 108 citations*
16. [**LLaMA-Omni: Seamless Speech Interaction with Large Language Models arXiv:2409.06666**Qingkai Fang, Shoutao Guo, Yan Zhou, et al.*2024 · 91 citations*](https://md.research.elamur.ai/free/en/papers/fang-2024-llama-omni-seamless-speech-interaction/)
17. **[Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art](https://md.research.elamur.ai/free/en/papers/liu-2025-culturally-aware-adapted-nlp-taxonomy/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Chen Cecilia Liu, Iryna Gurevych, Anna Korhonen*2025 · 90 citations*
18. **[AudioBench: A Universal Benchmark for Audio Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2025-audiobench-universal-benchmark-audio-large/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Bin Wang, Xunlong Zou, Geyu Lin, et al.*2025 · 77 citations*
19. [**Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers arXiv:2404.04925**Libo Qin, Qiguang Chen, Yuhang Zhou, et al.*2024 · 75 citations*](https://md.research.elamur.ai/free/en/papers/qin-2024-multilingual-large-language-model-survey/)
20. [**Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming arXiv:2408.16725**Zhifei Xie, Changqiao Wu*2024 · 73 citations*](https://md.research.elamur.ai/free/en/papers/xie-2024-mini-omni-language-models-hear/)
21. **[FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation](https://md.research.elamur.ai/free/en/papers/riley-2023-frmt-benchmark-few-shot-region/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Parker Riley, Timothy Dozat, Jan A. Botha, et al.*2023 · 33 citations*
22. **[Leveraging Data Collection and Unsupervised Learning for Code-switched Tunisian Arabic Automatic Speech Recognition](https://md.research.elamur.ai/free/en/papers/abdallah-2023-leveraging-data-collection-unsupervised-learning/) [IEEE International Conference on Acoustics Speech and Signal Processing](https://md.research.elamur.ai/free/en/venues/ieee-international-conference-on-acoustics-speech-and-signal-processing/)**Ahmed Amine Ben Abdallah, Ata Kabboudi, Amir Kanoun, et al.*2023 · 30 citations*
23. [**Step-Audio: Unified Understanding and Generation in Intelligent Speech Interaction arXiv:2502.11946**Ailin Huang, Boyong Wu, Bruce Wang, et al.*2025 · 25 citations*](https://md.research.elamur.ai/free/en/papers/huang-2025-step-audio-unified-understanding/)
24. [**Fixing Translation Divergences in Parallel Corpora for Neural MT**MinhQuang Pham, Josep Crego, Jean Senellart, et al.*2018 · 25 citations*](https://md.research.elamur.ai/free/en/papers/pham-2018-fixing-translation-divergences-parallel-corpora/)
25. [**Assessing the Cross-linguistic Utility of Abstract Meaning Representation**Shira Wein, Nathan Schneider*2024 · 17 citations*](https://md.research.elamur.ai/free/en/papers/wein-2024-assessing-cross-linguistic-utility-abstract/)
26. **[New Trends for Modern Machine Translation with Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/liu-2026-new-trends-modern-machine-translation/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Sinuo Liu, Chenyang Lyu, Minghao Wu, et al.*2026 · 16 citations*
27. **[Exploiting Dialect Identification in Automatic Dialectal Text Normalization](https://md.research.elamur.ai/free/en/papers/alhafni-2024-exploiting-dialect-identification-automatic-dialectal/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Bashar Alhafni, Sarah Al-Towaity, Ziyad Fawzy, et al.*2024 · 12 citations*
28. **[UM-DFKI Maltese Speech Translation](https://md.research.elamur.ai/free/en/papers/williams-2023-um-dfki-maltese-speech-translation/) [International Conference on Spoken Language Translation (IWSLT)](https://md.research.elamur.ai/free/en/venues/iwslt/)**Aiden Williams, Kurt Abela, Rishu Kumar, et al.*2023 · 11 citations*
29. **[ALADAN at IWSLT24 Low-resource Arabic Dialectal Speech Translation Task](https://md.research.elamur.ai/free/en/papers/kheder-2024-aladan-iwslt24-low-resource-arabic/) [International Conference on Spoken Language Translation (IWSLT)](https://md.research.elamur.ai/free/en/venues/iwslt/)**Waad Ben Kheder, Josef Jon, André Beyer, et al.*2024 · 4 citations*
30. [**Measuring Fine-Grained Semantic Equivalence with Abstract Meaning Representation**Shira Wein, Zhuxin Wang, Nathan Schneider*2023 · 4 citations*](https://md.research.elamur.ai/free/en/papers/wein-2023-measuring-fine-grained-semantic-equivalence/)
31. **[Steering Large Language Models for Machine Translation Personalization](https://md.research.elamur.ai/free/en/papers/scalena-2026-steering-large-language-models-machine/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Daniel Scalena, Gabriele Sarti, Arianna Bisazza, et al.*2026 · 3 citations*
32. **[TEDxTN: A Three-way Speech Translation Corpus for Code-Switched Tunisian Arabic - English](https://md.research.elamur.ai/free/en/papers/bougares-2025-tedxtn-three-way-speech-translation/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Fethi Bougares, Salima Mdhaffar, Haroun Elleuch, et al.*2025 · 3 citations*
33. **[Attacker's Noise Can Manipulate Your Audio-based LLM in the Real World](https://md.research.elamur.ai/free/en/papers/sadasivan-2026-attacker-s-noise-can-manipulate/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Vinu Sankar Sadasivan, Soheil Feizi, Rajiv Mathews, et al.*2026 · 2 citations*
34. **[UM IWSLT 2024 Low-Resource Speech Translation: Combining Maltese and North Levantine Arabic](https://md.research.elamur.ai/free/en/papers/nabhani-2024-um-iwslt-2024-low-resource/) [International Conference on Spoken Language Translation (IWSLT)](https://md.research.elamur.ai/free/en/venues/iwslt/)**Sara Nabhani, Aiden Williams, Miftahul Jannat, et al.*2024 · 2 citations*
35. **[Team QUESPA System Submission for the IWSLT 2026 Dialectal and Low-resource Speech Translation Task](https://md.research.elamur.ai/free/en/papers/ortega-2026-team-quespa-system-submission-iwslt/) [International Conference on Spoken Language Translation (IWSLT)](https://md.research.elamur.ai/free/en/venues/iwslt/)**John E. Ortega, Rodolfo Joel Zevallos, Fabrício Carraro, et al.*2026 · 1 citation*
36. **[The CUHKSZ System for the IWSLT 2026 Low-Resource Speech-to-Text Task](https://md.research.elamur.ai/free/en/papers/sun-2026-cuhksz-system-iwslt-2026-low/) [International Conference on Spoken Language Translation (IWSLT)](https://md.research.elamur.ai/free/en/venues/iwslt/)**ruiyan SUN, Qingming Li, Satoshi Nakamura*2026 · 1 citation*
37. **[Uncertainty Quantification for Evaluating Gender Bias in Machine Translation](https://md.research.elamur.ai/free/en/papers/staliunaite-2026-uncertainty-quantification-evaluating-gender-bias/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ieva Staliunaite, Julius Cheng, Andreas Vlachos*2026 · 1 citation*
38. **[WhiteHouse: Translation of the Casablanca Corpus for Multi-dialectal Arabic Speech Translation](https://md.research.elamur.ai/free/en/papers/bougares-2026-whitehouse-translation-casablanca-corpus-multi/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Fethi Bougares, Salima Mdhaffar, Yannick Estève*2026 · 1 citation*
39. **[Attribute-Controlled Translation with Preference Optimization](https://md.research.elamur.ai/free/en/papers/unanue-2026-attribute-controlled-translation-preference-optimization/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Inigo Jauregi Unanue, Najmeh Sadoughi, Vimal Bhat, et al.*2026*
40. **[Context-8: A Data Set for Evaluating Context Sensitivity in Machine Translation](https://md.research.elamur.ai/free/en/papers/wang-2026-context-8-data-set-evaluating/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Dongyue Wang, Kyo Kageura*2026*
41. **[Giving Voice to the Constitution: Low-Resource Text-to-Speech for Quechua and Spanish Using a Bilingual Legal Corpus](https://md.research.elamur.ai/free/en/papers/ortega-2026-giving-voice-constitution-low-resource/) [Workshop on Natural Language Processing for Political Sciences](https://md.research.elamur.ai/free/en/venues/politicalnlp/)**John E. Ortega, Rodolfo Joel Zevallos, Fabrício Carraro*2026*
42. [**Nuha-Speech: Building General-Purpose Arabic Speech-LLMs arXiv:2609.11892**Yingzhi Wang, Reem Alhazzani, Muhammad Alqurishi*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-nuha-speech-building-general-purpose/)
43. **[When the Gold Standard Isn't Necessarily Standard: Challenges of Evaluating the Translation of User-Generated Content](https://md.research.elamur.ai/free/en/papers/nishimwe-2026-when-gold-standard-isn-t/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Lydia Nishimwe, Benoît Sagot, Rachel Bawden*2026*

323 more citing papers of our library have no page here yet.

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