Short natural context can flip decision models to wrong answers

Probability-guided optimization finds fluent context additions that redirect dedicated decision systems on a majority of initially correct decisions.

Academic
Zixiang Xu

University of Southern California

Research Digest··2 min read

In one line

Short, natural, answer-preserving context additions can redirect decision models from correct choices to specific high-confidence wrong choices.

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The evaluation starts with questions each model answers correctly, fixes one wrong option as a target, and optimizes short, fluent context additions without changing the source, question, choices, or gold answer.

Within 64 accepted target evaluations per item, Jev was redirected on 312 of 508 decisions, or 61.4%. In 229 cases, it assigned at least 0.7 probability to the targeted wrong option. Three other decision systems showed targeted flip rates of 64.9% to 73.2% across seven datasets.

This matters for routers, tool selectors, evaluators, and agents that treat option probabilities as actionable outputs. Ordinary-looking surrounding context can produce a confident wrong action even when the underlying task has not changed.

How it works

before and after
WITHOUT ADDED CONTEXTOriginal decision item: Source, question, and choicesOriginal decisionitemSource, question, andchoicesDecision model: Scores the available choicesDecision modelScores the availablechoicesCorrect choiceCorrect choiceWITH OPTIMIZED CONTEXTunchangeditemitem plusaddedcontextchoiceprobabilit…redirecteddecisionFixed decision item: Source, question, and choicesFixeddecision itemSource,question, and…Context optimizer: Refines short fluent additionsContextoptimizerRefines shortfluent additionsDecision model: Scores the same choicesDecisionmodelScores the samechoicesFixed wrong option: Becomes the top choiceFixed wrongoptionBecomes the topchoiceA wrong target option is fixed before optimization.
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