DemoPSD: Disagreement-Modulated Policy Self-Distillation
arXiv:2607.02502v2 Announce Type: replace-cross Abstract: On-policy self-distillation (OPSD) has emerged as a practical method for training large language models (LLMs)…
arXiv:2607.02502v2 Announce Type: replace-cross Abstract: On-policy self-distillation (OPSD) has emerged as a practical method for training large language models (LLMs)…
arXiv:2607.04738v1 Announce Type: cross Abstract: Reconstructing population dynamics is a central problem in the physical and data sciences. Often, the…
arXiv:2607.04729v1 Announce Type: cross Abstract: LLM agents are increasingly applied to vulnerability analysis, but existing benchmarks have not kept pace.…
arXiv:2607.02360v2 Announce Type: replace-cross Abstract: Monocular relative pose sensing is a central perception problem in non-cooperative rendezvous and on-orbit servicing.…
arXiv:2604.26180v2 Announce Type: replace-cross Abstract: With recent semantic query processing engines, semantic aggregation has become a primitive operator, enabling the…