[KongchangAI]
Concept

SchemaShield-Lite

An inference-time repair layer that addresses interface drift in LLM agents through a three-tier mechanism of schema validation, candidate-set retry and one-shot constrained repair, without retraining the base model.

Timeline (last 90 days)

Oct 19

SchemaShield-Lite is an inference-time repair layer that intercepts and repairs function-call errors through three mechanisms: schema validation, candidate-set retry, and one-shot constraint repair.

Unverified50%
Oct 19

On the Qwen3.5-9B model, SchemaShield-Lite raised accuracy on the DICE-300 benchmark from 0.717 to 0.813, recovering 19 of the 22 drift-induced failures.

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Oct 19

SchemaShield-Lite's repair layer introduced no new errors (no negative effects from repair were observed).

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Oct 19

Ablation experiments show that a simple retry strategy cannot explain SchemaShield-Lite's gains; candidate-set retry must work in concert with schema validation and constraint repair.

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Oct 19

SchemaShield-Lite requires no access to model internal states at deployment, no labeled data or additional training, and does not modify the base model's weights.

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Oct 19

SchemaShield-Lite is positioned as a deployment-time robustness layer rather than a replacement for model capability, and can mitigate interface drift through lightweight middleware without interrupting service or retraining.

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Oct 19

Future work may need to explore more complex drift scenarios, error propagation in multi-tool coordinated calls, and the compatibility of the repair layer with different base models.

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