--- title: "Who cites Yujun Wang — 38 papers of our library" description: "38 papers of the Elamur Research library cite the works of Yujun Wang, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/yujun-wang/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yujun-wang/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Yujun Wang](https://md.research.elamur.ai/free/en/authors/yujun-wang/) / cited by # Who cites Yujun Wang 38 citations of their works from 38 papers of our library (of the 149,439 whose bibliographies we read) · 16 with a page here, the most cited first · [← Yujun Wang](https://md.research.elamur.ai/free/en/authors/yujun-wang/) 1. **[Transformer-Based Multi-Aspect Multi-Granularity Non-Native English Speaker Pronunciation Assessment](https://md.research.elamur.ai/free/en/papers/gong-2022-transformer-based-multi-aspect-multi/) [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/)**Yuan Gong, Ziyi Chen, Iek-Heng Chu, et al.*2022 · 59 citations* 2. **[UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large Models](https://md.research.elamur.ai/free/en/papers/zhang-2025-uora-uniform-orthogonal-reinitialization-adaptation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xueyan Zhang, Jinman Zhao, Zhifei Yang, et al.*2025 · 14 citations* 3. **[VisuoThink: Empowering LVLM Reasoning with Multimodal Tree Search](https://md.research.elamur.ai/free/en/papers/wang-2025-visuothink-empowering-lvlm-reasoning-multimodal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yikun Wang, Siyin Wang, Qinyuan Cheng, et al.*2025 · 13 citations* 4. **[Leveraging Allophony in Self-Supervised Speech Models for Atypical Pronunciation Assessment](https://md.research.elamur.ai/free/en/papers/choi-2025-leveraging-allophony-self-supervised-speech/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Kwanghee Choi, Eunjung Yeo, Kalvin Chang, et al.*2025 · 8 citations* 5. **[ZIPA: A family of efficient models for multilingual phone recognition](https://md.research.elamur.ai/free/en/papers/zhu-2025-zipa-family-efficient-models-multilingual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jian Zhu, Farhan Samir, Eleanor Chodroff, et al.*2025 · 7 citations* 6. **[VideoPro: Adaptive Program Reasoning for Long Video Understanding](https://md.research.elamur.ai/free/en/papers/li-2026-videopro-adaptive-program-reasoning-long/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chenglin Li, Feng Han, Yikun Wang, et al.*2026 · 6 citations* 7. **[Revealing and Enhancing Core Visual Regions: Harnessing Internal Attention Dynamics for Hallucination Mitigation in LVLMs](https://md.research.elamur.ai/free/en/papers/lyu-2026-revealing-enhancing-core-visual-regions/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Guangtao Lyu, Qi Liu, Chenghao Xu, et al.*2026 · 5 citations* 8. [**Speak & Improve Corpus 2025: an L2 English Speech Corpus for Language Assessment and Feedback arXiv:2412.11986**Kate Knill, Diane Nicholls, Mark J.F. Gales, et al.*2024 · 5 citations*](https://md.research.elamur.ai/free/en/papers/knill-2024-speak-improve-corpus-2025-l2/) 9. [**Speak & Improve Challenge 2025: Tasks and Baseline Systems arXiv:2412.11985**Mengjie Qian, Kate Knill, Stefano Banno, et al.*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/qian-2024-speak-improve-challenge-2025-tasks/) 10. **[Rubric-Guided Fine-tuning of SpeechLLMs for Multi-Aspect, Multi-Rater L2 Reading-Speech Assessment](https://md.research.elamur.ai/free/en/papers/parikh-2026-rubric-guided-fine-tuning-speechllms/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Aditya Kamlesh Parikh, Cristian Tejedor-García, Catia Cucchiarini, et al.*2026 · 1 citation* 11. **[Unlocking Large Audio-Language Models for Interactive Language Learning](https://md.research.elamur.ai/free/en/papers/liu-2026-unlocking-large-audio-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hongfu Liu, Zhouying Cui, Xiangming Gu, et al.*2026 · 1 citation* 12. [**English Pronunciation Evaluation without Complex Joint Training: LoRA Fine-tuned Speech Multimodal LLM arXiv:2509.02915**Taekyung Ahn, Hosung Nam*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ahn-2025-english-pronunciation-evaluation-complex-joint/) 13. **[Mispronunciation Detection Without L2 Pronunciation Dataset in Low-Resource Setting: A Case Study in Finland Swedish](https://md.research.elamur.ai/free/en/papers/phan-2025-mispronunciation-detection-l2-pronunciation-dataset/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Nhan Phan, Mikko Kuronen, Maria Kautonen, et al.*2025 · 1 citation* 14. **[Fisher-Driven Adaptive Locating for Knowledge Editing in Large Language Models](https://md.research.elamur.ai/free/en/papers/xu-2026-fisher-driven-adaptive-locating-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chenghao Xu, Jiexi Yan, Guangtao Lyu, et al.*2026* 15. **[Intent vs. Surface: Recovering Acoustic Realization from Modern ASR for Pronunciation Training](https://md.research.elamur.ai/free/en/papers/park-2026-intent-vs-surface-recovering-acoustic/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Seongjin Park*2026* 16. **[TokenPenalty: Alleviating Attention Sinks and Positional Decay in LVLMs](https://md.research.elamur.ai/free/en/papers/zhang-2026-tokenpenalty-alleviating-attention-sinks-positional/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaofeng Zhang, Yuanchao Zhu, Qiyan Zhao, et al.*2026* 22 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/yujun-wang/) — Yujun Wang