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MemSyco-Bench: Benchmarking Sycophancy in Agent Memory

A benchmark for evaluating memory-induced sycophancy in agent systems.

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MemSyco-Bench: Benchmarking Sycophancy in Agent Memory

By Zhishang Xiang, Zerui Chen, Yunbo Tang, Zhimin Wei, Ruqin Ning, Yujie Lin, Qinggang Zhang, Jinsong SuarXiv
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MemSyco-Bench is a comprehensive benchmark that measures how retrieved memories influence downstream reasoning and decision-making in agent systems.,It covers five tasks to assess an agent's ability to reject, respect, resolve conflicts between memory and objective evidence, track updates, and use valid memory for personalization.,The benchmark aims to bridge the gap in existing memory benchmarks by evaluating the impact of retrieved memories on factual accuracy and objective reasoning.

Abstract

MemSyco-Bench is a comprehensive benchmark that measures how retrieved memories influence downstream reasoning and decision-making in agent systems.,It covers five tasks to assess an agent's ability to reject, respect, resolve conflicts between memory and objective evidence, track updates, and use valid memory for personalization.,The benchmark aims to bridge the gap in existing memory benchmarks by evaluating the impact of retrieved memories on factual accuracy and objective reasoning.

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memory-induced sycophancyagent systemsbenchmarkingevaluation metricsretrieval-augmented generationAI AgentsAgent MemoryLarge Language ModelsSemantic Interoperability
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