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TOPIC · ENTITY #9435

constrained evolutionary search

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RESEARCH · 1 SOURCE · arXiv cs.AI

HARDEN: constrained evolutionary search to create harder, answer-preserving evaluation cases

HARDEN is a constrained evolutionary search method that adapts inputs of existing evaluation cases into more challenging variants while preserving expected outputs and enforcing feasibility constraints (semantics, realism, execution validity). Applied to FinQA, PubMedQA, and ContractNLI on three Qwen3.5 scales, HARDEN reduced model accuracy by 22.7% on average and up to 49.9% versus single-pass baselines using the same feasibility checks.

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