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The Illusion of Visual Tool-Use: A Causal Audit of Thinking with Images
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Researchers found that multimodal LLMs using visual tool-use operations like crop-and-zoom often don't causally benefit answers despite marginal accuracy gains and high token costs.
- 为何重要
- Matters for engineers building or evaluating multimodal systems where visual operations seem to help but may not actually drive reasoning.
- 注意
- The study covers six models and five benchmarks; results may not generalize to all architectures, domains, or newer visual reasoning approaches.
收听本摘要
- llm
- tool-use
- inference
- token
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