#post-training
- Z.ai ships GLM-5.3: frontier coding via post-training only, emergent cyber capabilities Z.ai (Zhipu AI) models-llm
- Z.ai ships GLM-5.3 with frontier coding and emergent cyber capability zhipu models-llm
- Intern-S2-Preview: 397B scientific agentic foundation model from Shanghai AI Lab Shanghai AI Lab research
- Annotations as Rollouts: Efficient and Scalable Reinforcement Learning for Video MLLMs research
- On-Policy Self-Distillation in Diffusion Models ByteDance Seed research
- DRPO: Rethinking Divergence Regularization in LLM Reinforcement Learning Tencent Hunyuan research
- SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD SLAI research
- Anatomy of Post-Training: Using Interpretability to Audit and Fix Preference Data research
- OPRD: On-Policy Representation Distillation for Post-Training LLMs research
- Tencent Hunyuan Open-Sources UniRL: Unified RL Post-Training for LLMs and Diffusion Models Tencent / Hunyuan research
- Weak-to-Strong Generalization via Direct On-Policy Distillation ByteDance / Tsinghua University research
- RL Post-Training Actively Builds Compositional Reasoning Strategies, Not Just Amplifies Base Skills research
- Co-RL: Unsupervised Reasoning Emerges from Diverse Cohort in Multi-agent RL UC San Diego (Yunhao Yang, Nuno Vasconcelos, Yijiang Li et al.) research