---
title: "Who cites Jiatong Shi — 165 papers of our library"
description: "165 papers of the Elamur Research library cite the works of Jiatong Shi, found in their bibliographies; the most cited first."
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---
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# Who cites Jiatong Shi

169 citations of their works from 165 papers of our library (of the 149,439 whose bibliographies we read) · 39 with a page here, the most cited first · [← Jiatong Shi](https://md.research.elamur.ai/free/en/authors/jiatong-shi/)

1. **[XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale](https://md.research.elamur.ai/free/en/papers/babu-2021-xls-r-self-supervised-cross/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Arun Babu, Changhan Wang, Andros Tjandra, et al.*2021 · 807 citations*
2. **[SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing](https://md.research.elamur.ai/free/en/papers/ao-2022-speecht5-unified-modal-encoder-decoder/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junyi Ao, Rui Wang, Long Zhou, et al.*2022 · 219 citations*
3. **[Direct Speech-to-Speech Translation With Discrete Units](https://md.research.elamur.ai/free/en/papers/lee-2022-direct-speech-speech-translation-discrete/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ann Lee, Peng-Jen Chen, Changhan Wang, et al.*2022 · 174 citations*
4. [**Moshi: a speech-text foundation model for real-time dialogue arXiv:2410.00037**Alexandre Defossez, Laurent Mazare, Manu Orsini, et al.*2024 · 157 citations*](https://md.research.elamur.ai/free/en/papers/defossez-2024-moshi-speech-text-foundation-model/)
5. **[Generative Spoken Dialogue Language Modeling](https://md.research.elamur.ai/free/en/papers/nguyen-2023-generative-spoken-dialogue-language-modeling/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Tu Anh Nguyen, Eugene Kharitonov, Jade Copet, et al.*2023 · 124 citations*
6. **[LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain](https://md.research.elamur.ai/free/en/papers/niklaus-2023-lextreme-multi-lingual-multi-task/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Joel Niklaus, Veton Matoshi, Pooja Rani, et al.*2023 · 123 citations*
7. **[AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension](https://md.research.elamur.ai/free/en/papers/yang-2024-air-bench-benchmarking-large-audio/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qian Yang, Jin Xu, Wenrui Liu, et al.*2024 · 112 citations*
8. **[Recent Advances in Speech Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/cui-2025-recent-advances-speech-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenqian Cui, Dianzhi Yu, Xiaoqi Jiao, et al.*2025 · 69 citations*
9. **[SpiRit-LM: Interleaved Spoken and Written Language Model](https://md.research.elamur.ai/free/en/papers/nguyen-2025-spirit-lm-interleaved-spoken-written/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Tu Anh Nguyen, Benjamin Muller, Bokai Yu, et al.*2025 · 64 citations*
10. **[What Do Self-Supervised Speech Models Know About Words?](https://md.research.elamur.ai/free/en/papers/pasad-2024-what-do-self-supervised-speech/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Ankita Pasad, Chung-Ming Chien, Shane Settle, et al.*2024 · 51 citations*
11. **[Proficiency assessment of L2 spoken English using wav2vec 2.0](https://md.research.elamur.ai/free/en/papers/banno-2022-proficiency-assessment-l2-spoken-english/) [IEEE Spoken Language Technology Workshop (SLT)](https://md.research.elamur.ai/free/en/venues/ieee-spoken-language-technology-workshop-slt/)**Stefano Banno, Marco Matassoni*2022 · 35 citations*
12. **[On the Robustness of Arabic Speech Dialect Identification](https://md.research.elamur.ai/free/en/papers/sullivan-2023-robustness-arabic-speech-dialect-identification/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Peter Sullivan, AbdelRahim Elmadany, Muhammad Abdul-Mageed*2023 · 18 citations*
13. **[Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Survey](https://md.research.elamur.ai/free/en/papers/yang-2025-holistic-evaluation-large-audio-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chih-Kai Yang, Neo S. Ho, Hung-yi Lee*2025 · 17 citations*
14. **[Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study](https://md.research.elamur.ai/free/en/papers/kheir-2025-towards-unified-benchmark-arabic-pronunciation/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Yassine El Kheir, Omnia Ibrahim, Amit Meghanani, et al.*2025 · 13 citations*
15. **[Performance Analysis of Speech Encoders for Low-Resource SLU and ASR in Tunisian Dialect](https://md.research.elamur.ai/free/en/papers/mdhaffar-2024-performance-analysis-speech-encoders-low/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Salima Mdhaffar, Haroun Elleuch, Fethi Bougares, et al.*2024 · 12 citations*
16. **[Yet Another Model for Arabic Dialect Identification](https://md.research.elamur.ai/free/en/papers/kulkarni-2023-yet-another-model-arabic-dialect/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Ajinkya Kulkarni, Hanan Aldarmaki*2023 · 10 citations*
17. **[Iqra'Eval: A Shared Task on Qur'anic Pronunciation Assessment](https://md.research.elamur.ai/free/en/papers/kheir-2025-iqra-eval-shared-task-qur/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Yassine El Kheir, Amit Meghanani, Hawau Olamide Toyin, et al.*2025 · 6 citations*
18. **[Extending ASR Evaluation Resources for Modern Greek Dialects](https://md.research.elamur.ai/free/en/papers/tsoukala-2026-extending-asr-evaluation-resources-modern/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Chara Tsoukala, Stavros Bompolas, Antigoni Margariti, et al.*2026 · 4 citations*
19. **[XY-Tokenizer: Mitigating the Semantic-Acoustic Conflict in Low-Bitrate Speech Codecs](https://md.research.elamur.ai/free/en/papers/gong-2026-xy-tokenizer-mitigating-semantic-acoustic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yitian Gong, Luozhijie Jin, Kuangwei Chen, et al.*2026 · 4 citations*
20. **[Automatic Speech Recognition of African American English: Lexical and Contextual Effects](https://md.research.elamur.ai/free/en/papers/mojarad-2025-automatic-speech-recognition-african-american/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Hamid Mojarad, Kevin Tang*2025 · 4 citations*
21. [**Whisper Turns Stronger: Augmenting Wav2Vec 2.0 for Superior ASR in Low-Resource Languages arXiv:2501.00425**Or Haim Anidjar, Revital Marbel, Roi Yozevitch*2024 · 4 citations*](https://md.research.elamur.ai/free/en/papers/anidjar-2024-whisper-turns-stronger-augmenting-wav2vec/)
22. **[AudioJudge: Understanding What Works in Large Audio Model Based Speech Evaluation](https://md.research.elamur.ai/free/en/papers/manakul-2026-audiojudge-understanding-what-works-large/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Potsawee Manakul, Woody Haosheng Gan, Michael J Ryan, et al.*2026 · 3 citations*
23. **[StressTest: Can YOUR Speech LM Handle the Stress?](https://md.research.elamur.ai/free/en/papers/yosha-2026-stresstest-can-your-speech-lm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Iddo Yosha, Gallil Maimon, Yossi Adi*2026 · 3 citations*
24. **[BSCodec: A Band-Split Neural Codec for High-Quality Universal Audio Reconstruction](https://md.research.elamur.ai/free/en/papers/wang-2026-bscodec-band-split-neural-codec/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haoran Wang, Jiatong Shi, Jinchuan Tian, et al.*2026 · 1 citation*
25. **[Exploration of Perceptual Speech Features for Clinical Decision-Support in Mental Health Care](https://md.research.elamur.ai/free/en/papers/lyberatos-2026-exploration-perceptual-speech-features-clinical/) [Workshop on Computational Linguistics and Clinical Psychology](https://md.research.elamur.ai/free/en/venues/clpsych/)**Vassilis Lyberatos, Edmund Dervakos, Eleni Adamidi, et al.*2026 · 1 citation*
26. **[HARNESS: Lightweight Distilled Arabic Speech Foundation Models](https://md.research.elamur.ai/free/en/papers/sukhadia-2026-harness-lightweight-distilled-arabic-speech/) [Speech Language Models in Low-Resource Settings: Performance, Evaluation, and Bias Analysis (SPEAKABLE) @ LREC](https://md.research.elamur.ai/free/en/venues/speakable/)**Vrunda Nileshkumar Sukhadia, Shammur Absar Chowdhury*2026 · 1 citation*
27. **[MauBERT: Universal Phonetic Inductive Biases for Few-Shot Acoustic Units Discovery](https://md.research.elamur.ai/free/en/papers/tandazo-2026-maubert-universal-phonetic-inductive-biases/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Angelo Ortiz Tandazo, Manel Khentout, Youssef Benchekroun, et al.*2026 · 1 citation*
28. **[MUSCAT: MUltilingual, SCientific ConversATion Benchmark](https://md.research.elamur.ai/free/en/papers/sinhamahapatra-2026-muscat-multilingual-scientific-conversation-benchmark/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Supriti Sinhamahapatra, Thai-Binh Nguyen, Yiğit Oğuz, et al.*2026 · 1 citation*
29. **[Revisiting Audio-language Pretraining for Learning General-purpose Audio Representation](https://md.research.elamur.ai/free/en/papers/tseng-2026-revisiting-audio-language-pretraining-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wei-Cheng Tseng, Xuanru Zhou, Mingyue Huo, et al.*2026 · 1 citation*
30. **[A Fine-tuned ASR Model for Historical American Dialect Recordings](https://md.research.elamur.ai/free/en/papers/coats-2026-fine-tuned-asr-model-historical/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Steven Coats*2026*
31. **[A framework for analyzing concept representations in neural models](https://md.research.elamur.ai/free/en/papers/naowarat-2026-framework-analyzing-concept-representations-neural/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Burin Naowarat, Hao Tang, Sharon Goldwater*2026*
32. **[A Sociophonetic Analysis of Racial Bias in Commercial ASR Systems Using the Pacific Northwest English Corpus](https://md.research.elamur.ai/free/en/papers/scott-2026-sociophonetic-analysis-racial-bias-commercial/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Michael Scott, Siyu Liang, Alicia Wassink, et al.*2026*
33. **[Afrispeech Semantics: Evaluating Audio–Semantic Reasoning in Spoken Language Models Across Domains and Accents](https://md.research.elamur.ai/free/en/papers/okocha-2026-afrispeech-semantics-evaluating-audio-semantic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chibuzor Okocha, Christan Grant*2026*
34. **[Aligning Backchannel and Dialogue Context Representations via Contrastive LLM Fine-Tuning](https://md.research.elamur.ai/free/en/papers/qian-2026-aligning-backchannel-dialogue-context-representations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Livia Qian, Gabriel Skantze*2026*
35. **[Charting the European LLM Benchmarking Landscape: A New Taxonomy and Registry](https://md.research.elamur.ai/free/en/papers/vintar-2026-charting-european-llm-benchmarking-landscape/) [Shaping Multilingual, Multimodal AI for the Social Sciences and Humanities @ LREC](https://md.research.elamur.ai/free/en/venues/llms4ssh/)**Spela Vintar, Mojca Brglez, Taja Kuzman Pungeršek, et al.*2026*
36. **[Difference in Task Performance on Sparse Speech Representations](https://md.research.elamur.ai/free/en/papers/peng-2026-difference-task-performance-sparse-speech/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenjie Peng, Chen Chen, Thomas Hain*2026*
37. **[Phonologically-aware Automatic Speech Recognition Evaluation of Low-Resource Languages: The Case of Basque Dialects](https://md.research.elamur.ai/free/en/papers/souganidis-2026-phonologically-aware-automatic-speech-recognition/) [Workshop on Dialects in NLP –- A Resource Perspective](https://md.research.elamur.ai/free/en/venues/dialres/)**Christoforos Souganidis, Asier Herranz, Ibon Saratxaga, et al.*2026*
38. **[Task-Lens: Cross-Task Utility Based Speech Dataset Profiling for Low-Resource Indian Languages](https://md.research.elamur.ai/free/en/papers/sharma-2026-task-lens-cross-task-utility/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Swati Sharma, Divya V. Sharma, Anubha Gupta*2026*
39. **[EmoTale: An Enacted Speech-emotion Dataset in Danish](https://md.research.elamur.ai/free/en/papers/hjuler-2025-emotale-enacted-speech-emotion-dataset/) [IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)](https://md.research.elamur.ai/free/en/venues/ieee-automatic-speech-recognition-and-understanding-workshop-asru/)**Maja J. Hjuler, Harald V. Skat-R\ordam, Line H. Clemmensen, et al.*2025*

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

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