Yufang Hou

DRIP-R: A Benchmark for Decision-Making and Reasoning Under Real-World Policy Ambiguity in the Retail Domain

DRIP-R is introduced, a benchmark that systematically exploits real-world retail policy ambiguities to construct scenarios in which no single correct resolution exists, and shows that frontier models fundamentally disagree on identical policy-ambiguous scenarios, confirming that ambiguity poses a genuine and systematic challenge to LLM decision-making.