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cs.SE2026
TIPCODER: Reinforcement Learning Boosted Test-time Instruction Proposer for Code Generation
Minyu Chen, Sihao Wu, Ling-I Wu +5
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-lev…
cs.LG2026
Looped World Models
Hongyuan Adam Lu, Z. L. Victor Wei, Qun Zhang +28
Current world models face a fundamental tension: faithful long-horizon simulation demands deep computation, but deeper models are expensive to deploy and prone to compounding error…
cs.AI2026
Teacher-Aware Evolution of Heuristic Programs from Learned Optimization Policies
Minyu Chen, Song Qin, Ling-I Wu +2
LLM-based automatic heuristic design has shown promise for generating executable heuristics for combinatorial optimization, but existing methods mainly rely on delayed endpoint per…