OmniFocus: Query-Guided Balanced Compression for Omni-Modal Models

In the current landscape of artificial intelligence, large omni-modal language models (OmniLLMs) represent a significant advancement by simultaneously processing audio and video. However, their ability to handle long token sequences generates a high computational cost, especially during inference. To address this challenge, an innovative technique emerges that optimizes token compression without the need for additional training. This query-guided approach independently evaluates the relevance of each modality—visual and auditory—preserving the salient evidence of each and maintaining temporal alignment between them. In this way, modal bias that often appears in unimodal compression methods is avoided. Experimental results demonstrate that, even retaining only 25% of the original tokens, competitive accuracy and significant acceleration in the prefill phase are achieved. This type of solution is key for companies seeking to implement AI for businesses efficiently, reducing operational costs without sacrificing performance. At Q2BSTUDIO, we understand the importance of integrating custom applications that leverage these advanced architectures, offering custom software that optimizes computational resources and improves the user experience. Additionally, we accompany these developments with cloud services aws and azure that scale according to business needs, ensuring high availability and security. Our team also deploys specialized AI agents, capable of processing multimodal information in real time, and applies business intelligence services with power bi to visualize complex data. All under strict cybersecurity policies, protecting sensitive information. Intelligent token compression not only accelerates inference processes but also opens the door to new applications in resource-constrained environments, such as edge devices or embedded systems. In this context, collaboration with development experts allows transforming cutting-edge research into practical and profitable solutions.