DeSTA2.5-Audio: Pioneering General-Purpose Large Audio Language Models with Self-Generated Cross-Modal Alignment

DeSTA2.5-Audio: Pioneering the Future of General-Purpose Large Audio Language Models In the rapidly evolving landscape of artificial intelligence, the quest for models capable of robust auditory perception and precise instruction-following has gained significant momentum. DeSTA2.5-Audio, a cutting-edge Large Audio Language Model (LALM), stands at the forefront of this innovation. Designed to transcend the limitations of task-specific audio instruction-tuning, DeSTA2.5-Audio leverages a self-generated cross-modal alignment strategy, marking a paradigm shift in how we approach audio-linguistic understanding. The Genesis of DeSTA2.5-Audio The development of DeSTA2.5-Audio was driven by the recognition that existing LALMs often suffered from catastrophic forgetting. This phenomenon occurs when …