1 citations · 2 across the 22 of their papers we have counts for
5 papers · 1 filter
Alignment Is All You Need: Instruction-Free Training for General Audio-Language Models
Xuanru Zhou, Yiwen Shao, Jiahong Li +1
Multimodal large language models (MLLMs) are typically built through a multi-stage pipeline consisting of cross-modal alignment, supervised fine-tuning (SFT), and preference optimi…
Escape the Language Prior: Mitigating Late-Stage Modality Collapse in Audio Reasoning via Modality-Aware Policy Optimization
Cihan Xiao, Yiwen Shao, Chenxing Li +5
Audio and omni-modal large language models exhibit impressive cross-modal reasoning capabilities. However, standard reinforcement learning methods such as GRPO do not explicitly we…
Towards Comprehensive Semantic Speech Embeddings for Chinese Dialects
Kalvin Chang, Yiwen Shao, Jiahong Li +1
Despite having hundreds of millions of speakers, Chinese dialects lag behind Mandarin in speech and language technologies. Most varieties are primarily spoken, making dialect-to-Ma…
AzeroS: Extending LLM to Speech with Self-Generated Instruction-Free Tuning
Yiwen Shao, Wei Liu, Jiahong Li +4
Extending large language models (LLMs) to the speech domain has recently gained significant attention. A typical approach connects a pretrained LLM with an audio encoder through a…
Efficient Multilingual ASR Finetuning via LoRA Language Experts
Jiahong Li, Yiwen Shao, Jianheng Zhuo +4
Recent advancements in deep learning have significantly enhanced multilingual automatic speech recognition (ASR) due to the development of advanced model architectures and availabl…