machine-learning-challenge

This paper presents a system for the MLC-SLM 2026 Challenge that combines speaker diarization with fine-tuned Qwen-ASR using supervised full fine-tuning, LoRA on synthetic speech, and GRPO reinforcement learning to achieve a 17.97 tcpMER on the final evaluation set.