CAPER derives clause-aligned supervision via SQL AST counterfactuals to train a Clause-PRM that improves execution accuracy up to 15.3% relative and failure localization to 84.53% accuracy on BIRD and Spider.
Xiyan-sql: A novel multi-generator framework for text-to-sql.IEEE Transactions on Knowledge and Data Engineering, pages 1–14, 2026
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Progress-SQL introduces a multi-turn RL framework with ODT-based structural alignment and progressive rewards that measure improvement across refinement turns, yielding gains on BIRD, Spider, and robustness benchmarks.
An iterative JBRD algorithm using alternating optimization, quadratic penalty, and successive convex approximation is developed to maximize secrecy rate in RIS-aided ISAC systems with cooperating eavesdroppers under sensing and power constraints.
citing papers explorer
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CAPER: Clause-Aligned Process Supervision for Text-to-SQL
CAPER derives clause-aligned supervision via SQL AST counterfactuals to train a Clause-PRM that improves execution accuracy up to 15.3% relative and failure localization to 84.53% accuracy on BIRD and Spider.
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Progress-SQL: Improving Reinforcement Learning for Text-to-SQL via Progressive Rewards
Progress-SQL introduces a multi-turn RL framework with ODT-based structural alignment and progressive rewards that measure improvement across refinement turns, yielding gains on BIRD, Spider, and robustness benchmarks.
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Secure Beamforming and Reflection Design for RIS-ISAC Systems Under Collusion of Passive and Active Eavesdroppers
An iterative JBRD algorithm using alternating optimization, quadratic penalty, and successive convex approximation is developed to maximize secrecy rate in RIS-aided ISAC systems with cooperating eavesdroppers under sensing and power constraints.