Models flag missing facts more readily than usable unsupported premises

Controlled tests found that making an unsupported premise usable reduced models’ warnings, although accepting question-supplied premises can also reflect conditional reasoning.

Big Tech
Naveen Madiraju

Google

Research Digest··2 min read
Illustration: Models flag missing facts more readily than usable unsupported premises
Naveen Madiraju tested whether language models respond differently to missing information and to fabricated premises they can use to produce an answer.

Madiraju used a controlled 2×2 design on GSM8K, a mathematical word-problem benchmark, to separate a premise’s usability from whether the relevant entity appeared.

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