A Deep Dive into Scaling RL for Code Generation with Synthetic Data and Curricula
arXiv:2603.24202v1 Announce Type: cross Abstract: Reinforcement learning (RL) has emerged as a powerful paradigm for improving large language models beyond…
Synthetic Mixed Training: Scaling Parametric Knowledge Acquisition Beyond RAG
arXiv:2603.23562v1 Announce Type: cross Abstract: Synthetic data augmentation helps language models learn new knowledge in data-constrained domains. However, naively scaling…
Powerful Teachers Matter: Text-Guided Multi-view Knowledge Distillation with Visual Prior Enhancement
arXiv:2603.24208v1 Announce Type: cross Abstract: Knowledge distillation transfers knowledge from large teacher models to smaller students for efficient inference. While…
Mind Your HEARTBEAT! Claw Background Execution Inherently Enables Silent Memory Pollution
arXiv:2603.23064v2 Announce Type: replace-cross Abstract: We identify a critical security vulnerability in mainstream Claw personal AI agents: untrusted content encountered…
PLDR-LLMs Reason At Self-Organized Criticality
arXiv:2603.23539v1 Announce Type: new Abstract: We show that PLDR-LLMs pretrained at self-organized criticality exhibit reasoning at inference time. The characteristics…