Language-Specialized Multi-Teacher On-Policy Distillation for Multilingual LLM-Based ASR
Yuan Xie, Jiaqi Song, Xianliang Wang, Ming Lei, Jie Gao, Jie Wu
cs.CL, cs.SD, eess.AS
Submitted: 2026-08-10
Updated: 2026-08-11
Code: https://github.com/wenet-e2e/WeTextProcessing
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Seed-ASR: Understanding Diverse Speech and Contexts with LLM-based Speech Recognition
- Fun-ASR Technical Report
- Qwen3-ASR Technical Report
- Investigating the Impact of Cross-lingual Acoustic-Phonetic Similarities on Multilingual Speech Recognition
- MiMo-V2-Flash Technical Report
- MOPD: Multi-Teacher On-Policy Distillation for Capability Integration in LLM Post-Training
- Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation
- DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
- FireRedASR2S: A State-of-the-Art Industrial-Grade All-in-One Automatic Speech Recognition System
- NIM4-ASR: Towards Efficient, Robust, and Customizable Real-Time LLM-Based ASR
- Language-Aware Distillation for Multilingual Instruction-Following Speech LLMs with ASR-Only Supervision
- Step-Audio 2 Technical Report
- Qwen3-Omni Technical Report
Related papers
- Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
- Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
- Subliminal Steering: Stronger Encoding of Hidden Signals
- MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
- The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
- Untangling the Mechanisms of Misleading Context in Medical Question Answering