MemSyco-Bench: Benchmarking Sycophancy in Agent Memory
Memory plays a crucial role in LLM-based agents, but retrieved memories can cause sycophancy issues where agents over-align with users at the expense of factual accuracy, necessita…
Hugging Face · Daily Papers
·Zhishang Xiang, Zerui Chen
·
·▲ 17 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Zhishang Xiang, Zerui Chen, Yunbo Tang, Zhimin Wei, Ruqin Ning, Yujie Lin
- 17 upvotes da comunidade
- Temas: memory, LLM-based agents, sycophancy, downstream reasoning, decision-making, MemSyco-Bench
Resumo
Resumo original (em inglês), extraído do paper:
Memory plays a crucial role in LLM-based agents, but retrieved memories can cause sycophancy issues where agents over-align with users at the expense of factual accuracy, necessitating new evaluation benchmarks that assess memory's impact on reasoning and decision-making rather than just storage and retrieval.Onde ler
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