2 papers
cs.SE2026
Enhancing LLM-Based Code Translation with Verified Multi-Semantic Representations
Yufu Wang, He Jiang, Hao Lin +4
Large language models (LLMs) have shown great promise for automated code translation, yet existing approaches often rely on token-level statistical patterns rather than sufficient…
cs.AI2026
SIRIUS-SQL: Anchoring Multi-Candidate Text-to-SQL in Execution Feedback
Leo Luo, Haining Xie, Siqi Shen +8
Text-to-SQL on complex schemas is unreliable on a single pass, so recent systems generate multiple SQL candidates and let voting filter out errors. Yet voting alone is not enough,…