Designing Textual Interfaces To Enhance Llm Reasoning On Audio-Visual Question Answering
Automatic prompt optimization (APO) has shown strong effectiveness for text-based LLMs and LLM systems, but its application to audio-visual understanding systems requires suitable textual interfaces through which multimodal reasoning can be exposed to text-based optimizers.
ProofPaper ↗
Key points
- We investigate how the design of textual interfaces affects prompt optimization for multimodal reasoning, on the audio-visual question answering task.
- Our study highlights textual interface design as an important factor in making prompt optimization effective for omni-modal reasoning systems.
- Our implementation details are specified in GitHub repo.
Sources (1)
- [1]Designing Textual Interfaces To Enhance Llm Reasoning On Audio-Visual Question AnsweringarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 14, 12:23 PM
Automatic prompt optimization (APO) has shown strong effectiveness for text-based LLMs and LLM systems, but its application to audio-visual understanding systems requires suitable textual interfaces through which multimodal reasoning can be exposed to text-based optimizers.
We investigate how the design of textual interfaces affects prompt optimization for multimodal reasoning, on the audio-visual question answering task.
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