🔗 Who cites «SLM: Bridge the thin gap between speech and text foundation models»

24 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · ← back to «SLM: Bridge the thin gap between speech and text foundation models»

1. Qwen2-Audio Technical ReportarXiv:2407.10759Yunfei Chu, Jin Xu, Qian Yang, et al.2024 · 238 citations
2. Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language ModelsarXiv:2311.07919Yunfei Chu, Jin Xu, Xiaohuan Zhou, et al.2023 · 184 citations
3. AIR-Bench: Benchmarking Large Audio-Language Models via Generative ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL)Qian Yang, Jin Xu, Wenrui Liu, et al.2024 · 112 citations
4. Distilling an End-to-End Voice Assistant Without Instruction Training DataAnnual Meeting of the Association for Computational Linguistics (ACL)William Held, Yanzhe Zhang, Minzhi Li, et al.2025 · 18 citations
5. Paralinguistics-Aware Speech-Empowered Large Language Models for Natural ConversationConference on Neural Information Processing Systems (NeurIPS)Heeseung Kim, Soonshin Seo, Kyeongseok Jeong, et al.2024 · 13 citations
6. QualiSpeech: A Speech Quality Assessment Dataset with Natural Language Reasoning and DescriptionsAnnual Meeting of the Association for Computational Linguistics (ACL)Siyin Wang, Wenyi Yu, Xianzhao Chen, et al.2025 · 12 citations
7. LuxSQA: Ask Me in Luxembourgish with TTS-Augmented Spoken Question AnsweringarXiv:2607.02763Nina Hosseini-Kivanani, Marco Matassoni, Alessio Brutti2026

17 more papers of our library cite it; they have no page here yet.

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