Publications

* indicates equal contribution.

Speech LLM Survey & Benchmark

• ISA-Bench: Benchmarking Instruction Sensitivity for Large Audio Language Models
  B. Li, W. Huang, Y. Qiu, Y. Guo, H. Wang, Z. Li, Jing Peng, Z. Ma, X. Chen, K. Yu
  ICASSP 2026 (accepted), 2026
  arXiv
• A Survey on Speech Large Language Models for Understanding
  Jing Peng*, Y. Wang*, Y. Fang, Y. Xi, X. Li, X. Zhang, K. Yu
  IEEE JSTSP (accepted), 2024
  arXiv

Speech LLM Alignment

• TASU: Text-Only Alignment for Speech Understanding
  Jing Peng, Y. Yang, X. Li, Y. Xi, Q. Tang, Y. Fang, J. Li, K. Yu
  ICASSP 2026 (accepted), 2026

Speech LLM Domain Adaptation

• Low-Resource Domain Adaptation for Speech LLMs via Text-Only Fine-Tuning
  Y. Fang*, Jing Peng*, X. Li, Y. Xi, C. Zhang, G. Zhong, K. Yu
  ASRU 2025 (accepted), 2025
  arXiv

Speech LLM Modular Adaptation

• MOSA: Mixtures of Simple Adapters Outperform Monolithic Approaches in LLM-based Multilingual ASR
  Junjie Li, Jing Peng, Yangui Fang, Shuai Wang, Kai Yu
  ICASSP 2026 (accepted), 2026
  arXiv

LLM-based ASR Post-processing

• Fewer Hallucinations, More Verification: A Three-Stage LLM-Based Framework for ASR Error Correction
  Y. Fang, B. Cheng, Jing Peng, X. Li, Y. Xi, C. Zhang, G. Zhong
  ASRU 2025 (accepted), 2025
  arXiv

Controllable / Contextual ASR

• Joint Decoding Method for Controllable Contextual Speech Recognition Based on Speech LLM
  Y. Fang*, J. Peng*, Y. Xi, X. Li, H. Li, C. Zhang, G. Zhong, K. Yu
  arXiv preprint, 2025
  arXiv