Safe Error Correction for Language Models: Frozen-Base Adjustment with Capability Preservation
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arXiv:2609.16145v1 Announce Type: new Abstract: We study a practical question: can a small correction module fix errors in a frozen language model's outputs without degrading its base capabilities? We propose CRN v2, a lightweight logit-level correction module (~34M trainable parameters, 0.73% of t…
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- 2026-09-16 04:00 · arXiv cs.AI
Safe Error Correction for Language Models: Frozen-Base Adjustment with Capability Preservation