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Reinforcement Learning Approach for Integrating Compressed Contexts into Knowledge Graphs
The widespread use of knowledge graphs in various fields has brought about a challenge in effectively integrating and updating information within them.
Adapting LLMs for Efficient Context Processing through Soft Prompt Compression
By amalgamating soft prompt compression with sophisticated summarization, SoftPromptComp confronts the dual challenges of managing lengthy contexts and ensuring model scalability.
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