Injecting or generating guidance from the full graph can severely degrade performance on embodied tasks. On ALFWorld, full graph generative guidance drops success rate from 72.58% (baseline without graph) to 54.48% while dramatically increasing token usage from 18,055 to 96,360 tokens per sample, demonstrating the necessity of topological localization. · CiteArk
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Injecting or generating guidance from the full graph can severely degrade performance on embodied tasks. On ALFWorld, full graph generative guidance drops success rate from 72.58% (baseline without graph) to 54.48% while dramatically increasing token usage from 18,055 to 96,360 tokens per sample, demonstrating the necessity of topological localization.
Source: paper:p10-b101
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