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When Less is More: The LLM Scaling Paradox in Context Compression

Under lossy context compression, larger compressors reduce reconstruction error but increase unfaithfulness via knowledge overwriting and semantic drift, violating scaling laws for faithful preservation.

Ruishan Guo, Yibing Liu, Guoxin Ma, Yan Wang and 5 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 14 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 3/5