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Guan-Chen Ge

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#artificial intelligence Preprint Oct 2026

Can Agents Forget When Asked? A Benchmark for Memory Unlearning in LLM Agents

Long-term memory has become a core component of large language model (LLM) agents. As agents accumulate personal information over long-term use, users increasingly ask them to delete sensitive or outdated facts. A memory system should honor such requests. It should remove exactly what was requested and keep the rest of...

Bo-Fan Xie, Chao-Kun Wang, Guan-Chen Ge et al. · 0 citations
#artificial intelligence Preprint Sep 2026

ProcArena: A Multi-Scenario Benchmark for LLMs on Direct and Interactive PL/SQL Development from Natural Language

Large language models (LLMs) have shown strong potential for translating natural-language (NL) requirements into PL/SQL programs, attracting increasing attention from the database community. However, existing NL-to-PL/SQL efforts primarily focus on directly generating PL/SQL from complete NL requirements. In practice,...

Hang Zhang, Chao-Kun Wang, Yun Pan et al. · 0 citations

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