Intrinsic Selection and Particle Resampling for Inference-Time Scaling Beyond Domain Verifiability 事件

Intrinsic Selection and Particle Resampling for Inference-Time Scaling Beyond Domain Verifiability arXiv:2606.08850v1 Announce Type: cross Abstract: Inference-Time Scaling (ITS) has largely succeeded in verifiable domains like math and coding, where cheap verification enables scalable output selection. However, extending ITS to tasks prone to systematic failure - driven by faulty initial assumptions or unmet multidimensional constraints - typically relies on costly external solvers or brittle,