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Department of Linguistics
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Words like "coffee" and "tea" evoke distinct situations and emotions that current word embeddings miss, but can now be captured by prompting LLMs to generate structured "scene" representations.
By selectively consulting the web only when uncertain, this fact-checking system achieves state-of-the-art results while maintaining interpretability, predictable cost, and conservative behavior.
