--- title: "Who cites Adam Polyak — 146 papers of our library" description: "146 papers of the Elamur Research library cite the works of Adam Polyak, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/adam-polyak/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/adam-polyak/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Adam Polyak](https://md.research.elamur.ai/free/en/authors/adam-polyak/) / cited by # Who cites Adam Polyak 202 citations of their works from 146 papers of our library (of the 141,840 whose bibliographies we read) · 20 with a page here, the most cited first · [← Adam Polyak](https://md.research.elamur.ai/free/en/authors/adam-polyak/) 1. **[AudioLM: a Language Modeling Approach to Audio Generation](https://md.research.elamur.ai/free/en/papers/borsos-2022-audiolm-language-modeling-approach-audio/) [IEEE/ACM Transactions on Audio Speech and Language Processing](https://md.research.elamur.ai/free/en/venues/ieee-acm-transactions-on-audio-speech-and-language-processing/)**Zalan Borsos, Raphael Marinier, Damien Vincent, et al.*2022 · 570 citations* 2. [**High Fidelity Neural Audio Compression arXiv:2210.13438**Alexandre Defossez, Jade Copet, Gabriel Synnaeve, et al.*2022 · 412 citations*](https://md.research.elamur.ai/free/en/papers/defossez-2022-high-fidelity-neural-audio-compression/) 3. **[SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities](https://md.research.elamur.ai/free/en/papers/zhang-2023-speechgpt-empowering-large-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Dong Zhang, Shimin Li, Xin Zhang, et al.*2023 · 346 citations* 4. **[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 · 217 citations* 5. [**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/) 6. [**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/) 7. [**AudioPaLM: A Large Language Model That Can Speak and Listen arXiv:2306.12925**Paul K. Rubenstein, Chulayuth Asawaroengchai, Duc Dung Nguyen, et al.*2023 · 169 citations*](https://md.research.elamur.ai/free/en/papers/rubenstein-2023-audiopalm-large-language-model-that/) 8. [**Moshi: a speech-text foundation model for real-time dialogue arXiv:2410.00037**Alexandre Defossez, Laurent Mazare, Manu Orsini, et al.*2024 · 154 citations*](https://md.research.elamur.ai/free/en/papers/defossez-2024-moshi-speech-text-foundation-model/) 9. **[Language Model Behavior: A Comprehensive Survey](https://md.research.elamur.ai/free/en/papers/chang-2024-language-model-behavior-comprehensive-survey/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Tyler A. Chang, Benjamin K. Bergen*2024 · 148 citations* 10. **[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* 11. **[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 · 122 citations* 12. [**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/) 13. **[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 · 61 citations* 14. [**SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models arXiv:2308.16692**Xin Zhang, Dong Zhang, Shimin Li, et al.*2023 · 51 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-speechtokenizer-unified-speech-tokenizer-speech/) 15. **[How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speech](https://md.research.elamur.ai/free/en/papers/yedetore-2023-how-poor-is-stimulus-evaluating/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Aditya Yedetore, Tal Linzen, Robert Frank, et al.*2023 · 48 citations* 16. [**Scaling Laws for Generative Mixed-Modal Language Models arXiv:2301.03728**Armen Aghajanyan, Lili Yu, Alexis Conneau, et al.*2023 · 40 citations*](https://md.research.elamur.ai/free/en/papers/aghajanyan-2023-scaling-laws-generative-mixed-modal/) 17. [**A Language Modeling Approach to Diacritic-Free Hebrew TTS**Amit Roth, Arnon Turetzky, Yossi Adi*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/roth-2024-language-modeling-approach-diacritic-free/) 18. **[J-CHAT: Japanese Large-scale Spoken Dialogue Corpus for Spoken Dialogue Language Modeling](https://md.research.elamur.ai/free/en/papers/nakata-2026-j-chat-japanese-large-scale/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Wataru Nakata, Kentaro Seki, Hitomi Yanaka, et al.*2026 · 2 citations* 19. [**Enhancing TTS Stability in Hebrew using Discrete Semantic Units**Ella Zeldes, Or Tal, Yossi Adi*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/zeldes-2024-enhancing-tts-stability-hebrew-using/) 20. **[Do Factual Recall Mechanisms Carry over from Text to Speech in Multimodal Language Models?](https://md.research.elamur.ai/free/en/papers/modica-2026-do-factual-recall-mechanisms-carry/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Luca Modica, Filip Landin, Mehrdad Farahani, et al.*2026* 126 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/adam-polyak/) — Adam Polyak