Source: paper:p7-b74
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0/8 assessed
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| Metric and conditions | Reported | Latest observation | Evidence judgment |
|---|---|---|---|
model: Claude Sonnet 4.6 · method: Vanilla ReAct (Yao et al., 2023b) · benchmark: τ-bench | 66.09% | — | Not assessed |
model: Claude Sonnet 4.6 · method: MemoryBank (Zhong et al., 2024) · benchmark: τ-bench | 63.48% | — | Not assessed |
model: Claude Sonnet 4.6 · method: RAP (Kagaya et al., 2024) · benchmark: τ-bench | 60.87% | — | Not assessed |
model: Claude Sonnet 4.6 · method: ExpeL (Zhao et al., 2024) · benchmark: τ-bench | 71.3% | — | Not assessed |
model: Claude Sonnet 4.6 · method: AutoGuide (Fu et al., 2024) · benchmark: τ-bench | 65.22% | — | Not assessed |
model: Claude Sonnet 4.6 · method: AWM (Wang et al., 2025b) · benchmark: τ-bench | 66.96% | — | Not assessed |
model: Claude Sonnet 4.6 · method: KnowAgent (Zhu et al., 2025) · benchmark: τ-bench | 61.74% | — | Not assessed |
model: Claude Sonnet 4.6 · method: Procedural Graph (Ours) · benchmark: τ-bench | 73.91% | — | Not assessed |