Papers with compression-ratio priority

1 papers
AgentGC: Evolutionary Learning-based Lossless Compression for Genomics Data with LLM-driven Multiple Agent (2026.findings-acl)

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Challenge: Lossless compression has made significant advancements in Genomics Data storage, sharing and management.
Approach: They propose a novel agent-based GD Compressor with 3 layers with a multi-agent named Leader and Worker.
Outcome: The proposed method improves on existing methods with low-level modeling and limited adaptability and user-unfriendly interface.

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