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Evidence-Driven Reasoning

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PaperAgent
PaperAgent
Oct 27, 2026 · Artificial Intelligence

MemAdapter: Post-Retrieval Calibration Stops Memory-Induced Sycophancy in LLM Agents

MemAdapter introduces a post-retrieval calibration framework that prevents memory-induced sycophancy in LLM agents by dynamically adapting memory usage to task context through counterfactual induction, context-aware reflection, and evidence-driven reasoning, improving accuracy across multiple benchmarks and memory systems without modifying upstream memory stores.

Agent MemoryContext-Aware ReflectionCounterfactual Induction
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MemAdapter: Post-Retrieval Calibration Stops Memory-Induced Sycophancy in LLM Agents