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Preprint Sep 2026

TIPCODER: Reinforcement Learning Boosted Test-time Instruction Proposer for Code Generation

Test-time scaling for code generation typically explores the solution space by sampling multiple programs from a fixed instruction. We study a complementary direction: instance-level instruction-space exploration. Our observation is that many coding failures stem from missing constraints, overlooked edge cases, or misl...

Minyu Chen, Si-Hao Wu, Ling-I Wu et al. · 0 citations
Preprint Aug 2026

Schwarz: Solver-Aware Agentic Program Verification

Agentic verification systems can often generate source-level specifications that look plausible, but plausibility is not enough: the verifier must still turn those specifications into SMT obligations that the solver can prove. When this step fails, current LLM-driven loops usually expose only a coarse verifier error, t...

Jing-Yu Ke, Ling-I Wu, Guoqiang Li · 0 citations

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