---
title: "Who cites Yao Qian — 131 papers of our library"
description: "131 papers of the Elamur Research library cite the works of Yao Qian, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/yao-qian/cited-by/"
---
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# Who cites Yao Qian

131 citations of their works from 131 papers of our library (of the 149,439 whose bibliographies we read) · 29 with a page here, the most cited first · [← Yao Qian](https://md.research.elamur.ai/free/en/authors/yao-qian/)

1. [**MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities arXiv:2308.02490**Weihao Yu, Zhengyuan Yang, Linjie Li, et al.*2023 · 344 citations*](https://md.research.elamur.ai/free/en/papers/yu-2023-mm-vet-evaluating-large-multimodal/)
2. [**Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers arXiv:2301.02111**Chengyi Wang, Sanyuan Chen, Yu Wu, et al.*2023 · 335 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-neural-codec-language-models-zero/)
3. [**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/)
4. [**Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models arXiv:2311.07919**Yunfei Chu, Jin Xu, Xiaohuan Zhou, et al.*2023 · 184 citations*](https://md.research.elamur.ai/free/en/papers/chu-2023-qwen-audio-advancing-universal/)
5. **[Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision](https://md.research.elamur.ai/free/en/papers/kharitonov-2023-speak-read-prompt-high-fidelity/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Eugene Kharitonov, Damien Vincent, Zalán Borsos, et al.*2023 · 143 citations*
6. [**GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot arXiv:2412.02612**Aohan Zeng, Zhengxiao Du, Mingdao Liu, et al.*2024 · 65 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2024-glm-4-voice-intelligent/)
7. **[Native Language Cognate Effects on Second Language Lexical Choice](https://md.research.elamur.ai/free/en/papers/rabinovich-2018-native-language-cognate-effects-second/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Ella Rabinovich, Yulia Tsvetkov, Shuly Wintner*2018 · 52 citations*
8. **[PEIT: Bridging the Modality Gap with Pre-trained Models for End-to-End Image Translation](https://md.research.elamur.ai/free/en/papers/zhu-2023-peit-bridging-modality-gap-pre/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shaolin Zhu, Shangjie Li, Yikun Lei, et al.*2023 · 32 citations*
9. **[ArTST: Arabic Text and Speech Transformer](https://md.research.elamur.ai/free/en/papers/toyin-2023-artst-arabic-text-speech-transformer/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Hawau Olamide Toyin, Amirbek Djanibekov, Ajinkya Kulkarni, et al.*2023 · 27 citations*
10. **[Autoregressive Speech Synthesis without Vector Quantization](https://md.research.elamur.ai/free/en/papers/meng-2025-autoregressive-speech-synthesis-without-vector/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lingwei Meng, Long Zhou, Shujie Liu, et al.*2025 · 25 citations*
11. **[Distilling an End-to-End Voice Assistant Without Instruction Training Data](https://md.research.elamur.ai/free/en/papers/held-2025-distilling-end-end-voice-assistant/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**William Held, Yanzhe Zhang, Minzhi Li, et al.*2025 · 18 citations*
12. **[Dialectal Coverage And Generalization in Arabic Speech Recognition](https://md.research.elamur.ai/free/en/papers/djanibekov-2025-dialectal-coverage-generalization-arabic-speech/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Amirbek Djanibekov, Hawau Olamide Toyin, Raghad Alshalan, et al.*2025 · 17 citations*
13. [**Scaling Speech-Text Pre-training with Synthetic Interleaved Data arXiv:2411.17607**Aohan Zeng, Zhengxiao Du, Mingdao Liu, et al.*2024 · 14 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2024-scaling-speech-text-pre-training/)
14. **[Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation](https://md.research.elamur.ai/free/en/papers/kim-2024-paralinguistics-aware-speech-empowered-large/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Heeseung Kim, Soonshin Seo, Kyeongseok Jeong, et al.*2024 · 13 citations*
15. **[Towards Zero-Shot Text-To-Speech for Arabic Dialects](https://md.research.elamur.ai/free/en/papers/doan-2024-zero-shot-text-speech-arabic/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Khai Doan, Abdul Waheed, Muhammad Abdul-Mageed*2024 · 10 citations*
16. [**ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and Development**Yanir Marmor, Kinneret Misgav, Yair Lifshitz*2023 · 7 citations*](https://md.research.elamur.ai/free/en/papers/marmor-2023-ivrit-ai-comprehensive-dataset-hebrew/)
17. [**Responsible AI for Test Equity and Quality: The Duolingo English Test as a Case Study arXiv:2409.07476**Jill Burstein, Geoffrey T. LaFlair, Kevin Yancey, et al.*2024 · 6 citations*](https://md.research.elamur.ai/free/en/papers/burstein-2024-responsible-ai-test-equity-quality/)
18. [**An ensemble-based framework for mispronunciation detection of Arabic phonemes arXiv:2301.01378**Sukru Selim Calik, Ayhan Kucukmanisa, Zeynep Hilal Kilimci*2023 · 3 citations*](https://md.research.elamur.ai/free/en/papers/calik-2023-ensemble-based-framework-mispronunciation-detection/)
19. [**Predicting the Proficiency Level of Nonnative Hebrew Authors**Isabelle Nguyen, Shuly Wintner*2022 · 2 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2022-predicting-proficiency-level-nonnative-hebrew/)
20. [**Ara-Best-RQ: Multi Dialectal Arabic SSL arXiv:2603.21900**Haroun Elleuch, Ryan Whetten, Salima Mdhaffar, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/elleuch-2026-ara-best-rq-multi-dialectal/)
21. **[CATENG Submission for the IWSLT 2026: Dialectal and Low-resource Speech Translation Task](https://md.research.elamur.ai/free/en/papers/zevallos-2026-cateng-submission-iwslt-2026-dialectal/) [International Conference on Spoken Language Translation (IWSLT)](https://md.research.elamur.ai/free/en/venues/iwslt/)**Rodolfo Joel Zevallos, Marc Casals, John E. Ortega, et al.*2026 · 1 citation*
22. **[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*
23. **[Tracing L1 Interference in English Learner Writing: A Longitudinal Corpus with Error Annotations](https://md.research.elamur.ai/free/en/papers/acharya-2025-tracing-l1-interference-english-learner/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Poorvi Acharya, J. Elizabeth Liebl, Dhiman Goswami, et al.*2025 · 1 citation*
24. [**Large-Scale Acoustic Characterization of Singaporean Children's English Pronunciation arXiv:2202.09108**Yuling Gu, Nancy F. Chen*2022 · 1 citation*](https://md.research.elamur.ai/free/en/papers/gu-2022-large-scale-acoustic-characterization-singaporean/)
25. **[Benchmarking NLP-supported Language Sample Analysis for Swiss Children's Speech](https://md.research.elamur.ai/free/en/papers/ryser-2026-benchmarking-nlp-supported-language-sample/) [Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric/developmental impairments in cooperation with the MENTAL.ai consortium](https://md.research.elamur.ai/free/en/venues/rapid/)**Anja Ryser, Yingqiang Gao, Sarah Ebling*2026*
26. **[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*
27. [**Multi-Task Instruction Tuning via Data Scheduling for Low-Resource Arabic SpeechLLMs arXiv:2601.12494**Hunzalah Hassan Bhatti, Firoj Alam, Shammur Absar Chowdhury*2026*](https://md.research.elamur.ai/free/en/papers/bhatti-2026-multi-task-instruction-tuning-data/)
28. [**NADI 2026: The Second Multidialectal Arabic Speech Processing Shared Task arXiv:2609.27086**Peter Sullivan, Bashar Talafha, Ahmed Ashraf, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sullivan-2026-nadi-2026-second-multidialectal-arabic/)
29. [**The Relevance of Text and Speech Features in Automatic Non-native English Accent Identification arXiv:1804.05689**Sowmya Vajjala, Ziwei Zhou*2018*](https://md.research.elamur.ai/free/en/papers/vajjala-2018-relevance-text-speech-features-automatic/)

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

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