Schema-Anchored Latent Reasoning for Semantic Parsing-Based Knowledge Base Question Answering
Aligns continuous thoughts with a codebook of knowledge-base relations and classes, using schema traces derived from correct logical forms. Feeds the aligned codes into later reasoning steps before generating an executable query.
First public: · Added to this list: October 18, 2026
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arXiv:2609.20398 · Initial submission: 2026-09-17
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Continuous-state reasoning — Use vectors—lists of numbers—to carry intermediate reasoning from one step to the next, instead of selecting a text token at every step. Some methods use the model's hidden states; others combine several candidate token representations.
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