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Who cites Chengli Feng

54 citations of their works from 47 papers of our library (of the 149,439 whose bibliographies we read) · 13 with a page here, the most cited first · ← Chengli Feng

  1. Kimi-Audio Technical ReportarXiv:2504.18425KimiTeam, Ding Ding, Zeqian Ju, et al.2025 · 57 citations
  2. Step-Audio 2 Technical ReportarXiv:2507.16632Boyong Wu, Chao Yan, Chen Hu, et al.2025 · 31 citations
  3. MiMo-Audio: Audio Language Models are Few-Shot LearnersarXiv:2512.23808Xiaomi LLM-Core Team, Dong Zhang, Gang Wang, et al.2025 · 24 citations
  4. MiniCPM-o 4.5: Towards Real-Time Full-Duplex Omni-Modal InteractionarXiv:2604.27393Junbo Cui, Bokai Xu, Chongyi Wang, et al.2026 · 5 citations
  5. XY-Tokenizer: Mitigating the Semantic-Acoustic Conflict in Low-Bitrate Speech CodecsAnnual Meeting of the Association for Computational Linguistics (ACL)Yitian Gong, Luozhijie Jin, Kuangwei Chen, et al.2026 · 4 citations
  6. Chronological Thinking in Full-Duplex Spoken Dialogue Language ModelsAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Donghang Wu, Haoyang Zhang, Chen Chen, et al.2026 · 3 citations
  7. SAFE-QAQ: End-to-End Slow-Thinking Audio-Text Fraud Detection via Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Peidong Wang, Zhiming Ma, Xin Dai, et al.2026 · 3 citations
  8. Step-Audio-R1 Technical ReportarXiv:2511.15848Fei Tian, Xiangyu Tony Zhang, Yuxin Zhang, et al.2025 · 3 citations
  9. SEE: Signal Embedding Energy for Quantifying Noise Interference in Large Audio Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanhe Zhang, Jiayu Tian, Yibo Zhang, et al.2026 · 1 citation
  10. UltraEval-Audio: A Unified Framework for Comprehensive Evaluation of Audio Foundation ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Qundong Shi, Jie Zhou, Biyuan Lin, et al.2026 · 1 citation
  11. Beyond Sentence-level Labels: Integrating Conversational Context and Personal Experience for Natural Emotional ExpressionFindings of the Association for Computational LinguisticsHaiyang Sun, Chenyang Le, Wei Wang, et al.2026
  12. HearSay Benchmark: Do Audio LLMs Leak What They Hear?Findings of the Association for Computational LinguisticsJin Wang, Kaiwen Luo, Liang Lin, et al.2026
  13. WenetSpeech-Wu: Datasets, Benchmarks, and Models for a Unified Chinese Wu Dialect Speech Processing EcosystemFindings of the Association for Computational LinguisticsChengyou Wang, Mingchen Shao, Jingbin Hu, et al.2026

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

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