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FDE-Bench

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RESEARCH · 1 SOURCE · arXiv cs.AI

FDE-Bench: benchmark for end-to-end delivery from underspecified business requests (arXiv:2610.14539v1)

FDE-Bench is a new benchmark built from 49 real customer projects that evaluates agents on end-to-end delivery tasks requiring interactive requirement clarification and iterative optimization (cases span combinatorial optimization and ML). Tested across 18 agent configurations, the top mean delivery score is 0.5510 (FDE reference = 1.0) and the highest delivery success rate is 6.12%; paper arXiv:2610.14539v1 and materials are at https://baidubce.github.io/FM-Agent/FDE-Bench/.

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