R1-AQA
Xiaomi's DeepSeek-R1 Inspired Audio AI
R1-AQA launched on March 18, 2025 with 13 votes, #1,748 of 7,215 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
R1-AQA, inspired by DeepSeek-R1, is the open-source audio question answering model from Xiaomi, Achieves SOTA performance on MMAU using reinforcement learning (GRPO).
🤗 R1-AQA Model: mispeech/r1-aqa. Contribute to xiaomi-research/r1-aqa development by creating an account on GitHub.
R1-AQA is a audio question answering (AQA) model based on Qwen2-Audio-7B-Instruct , optimized through reinforcement learning (RL) using the group relative policy optimization (GRPO) algorithm. This implementation has achieved state-of-the-art performance on the MMAU benchmark with only 38k post-training samples. * The data are sourced from the MMAU leaderboard . [1] Xie, Zhifei, et al. "Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Models." arXiv preprint arXiv:2503.02318 (2025). [2] Ma, Ziyang, et al. "Audio-CoT: Exploring Chain-of-Thought Reasoning in Large Audio Language Model." arXiv preprint arXiv:2501.07246 (2025). 1️⃣ It is the original model, identical to…from github.com
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