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cs.CL2026
LifeMem: Enabling Lifelong Experience Reuse for LLM Agents
Yuli Qiu, Yutong Li, Wei Su +5
Large language model agents are expected to continuously adapt to new tasks and environments over their lifetime by reusing past experience. However, existing memory-based agents s…
cs.CL2024
ReFF: Reinforcing Format Faithfulness in Language Models across Varied Tasks
Jiashu Yao, Heyan Huang, Zeming Liu +4
Following formatting instructions to generate well-structured content is a fundamental yet often unmet capability for large language models (LLMs). To study this capability, which…