No-Worse Context-Aware Decoding: Preventing Neutral Regression in Context-Conditioned Generation (2026.findings-acl)
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| Challenge: | Large language models can answer questions and generate summaries when given external contexts. |
| Approach: | They propose a decode-time adapter that backs off to no-context decoding when context is non-informative and uses contrastive fallback under uncertainty. |
| Outcome: | The proposed model prevents neutral regression on baseline-correct items while preserving strong context-driven accuracy on helpful contexts. |
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