Larger LLM compressors in lossy setups often yield less faithful context reconstructions due to knowledge overwriting and semantic drift, with mid-sized models outperforming larger ones across 27 tested configurations.
Copy-paste to mitigate large language model halluci- nations.arXiv preprint arXiv:2510.00508
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When Less is More: The LLM Scaling Paradox in Context Compression
Larger LLM compressors in lossy setups often yield less faithful context reconstructions due to knowledge overwriting and semantic drift, with mid-sized models outperforming larger ones across 27 tested configurations.