LatentRefusal predicts answerability of text-to-SQL queries from LLM hidden states using a Tri-Residual Gated Encoder, reaching 88.5% average F1 across four benchmarks with about 2ms overhead.
Unanswerable questions usually have the following characteristics:
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LatentRefusal: Latent-Signal Refusal for Unanswerable Text-to-SQL Queries
LatentRefusal predicts answerability of text-to-SQL queries from LLM hidden states using a Tri-Residual Gated Encoder, reaching 88.5% average F1 across four benchmarks with about 2ms overhead.