2 papers
cs.LG2026
Make Every Expansion Count: Learning to Search Efficiently in LLM Code Repair
Elad Sharony, Ido Greenberg, Jialin Song +3
Large language model (LLM) code-repair systems fix faulty programs by repeatedly generating and testing revisions. Each revision is costly, making the choice of which repair to pur…
cs.AI2026
Metacognitive Steering: Learning the Structure of Scientific Judgment
Vincent Karpf, Joseph Reth, Eike Gerhardt +5
Long-horizon scientific discovery requires agents to alternate between exploration, disciplined execution, and critical reassessment as evidence changes. Current language models ar…