CoEM: Empowering Long-Context Reasoning with Commit-on-Evidence Memory
Long-context reasoning is essential for complex and long-horizon tasks, yet the performance of large language models (LLMs) degrades as context length increases. Recent approaches address this by processing input chunk by chunk while maintaining a bounded textual memory in model context. However, premature information...
Jing-Guang Li, Yebo Wu, Zu-Yi Guo et al.
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