LLMs can see and hear without any training

• URL: http://arxiv.org/abs/2501.18096v1
• Date: Thu, 30 Jan 2025 02:16:35 GMT
• Title: LLMs can see and hear without any training
• Authors: Kumar Ashutosh, Yossi Gandelsman, Xinlei Chen, Ishan Misra, Rohit Girdhar,
• Abstract summary: MILS is a simple, training-free approach to imbue multimodal capabilities into your favorite LLM. We establish a new state-of-the-art on emergent zero-shot image, video and audio captioning. Being a gradient-free optimization approach, MILS can invert multimodal embeddings into text.
• Score: 63.964888082106974
• License:
• Abstract: We present MILS: Multimodal Iterative LLM Solver, a surprisingly simple, training-free approach, to imbue multimodal capabilities into your favorite LLM. Leveraging their innate ability to perform multi-step reasoning, MILS prompts the LLM to generate candidate outputs, each of which are scored and fed back iteratively, eventually generating a solution to the task. This enables various applications that typically require training specialized models on task-specific data. In particular, we establish a new state-of-the-art on emergent zero-shot image, video and audio captioning. MILS seamlessly applies to media generation as well, discovering prompt rewrites to improve text-to-image generation, and even edit prompts for style transfer! Finally, being a gradient-free optimization approach, MILS can invert multimodal embeddings into text, enabling applications like cross-modal arithmetic.

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