SAGE

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Service Agent Graph-guided Evaluation

1Total Mentions

+0.10Sentiment (Neutral)

+1.2%Velocity (7d)

First seen: Apr 13, 2026Last active: 3h ago

Timeline

1

Research MilestoneApr 10, 2026
SAGE benchmark published on arXiv, exposing an 'Execution Gap' where LLMs understand user intent but fail to follow correct procedures in customer service.
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models evaluated:
27
domains:
6

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1

Uses

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large language models
technology1 source90% conf.

Recent Articles

1

SAGE Benchmark Exposes LLM 'Execution Gap' in Customer Service Tasks
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Researchers introduced SAGE, a multi-agent benchmark for evaluating LLMs in customer service. It found a significant 'Execution Gap' where models unde
5h ago70 relevance

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