Papers

• Continuous Latent Diffusion Language Model (2026)
  Hongcan Guo et al.
  1.94
• Learning POMDP World Models from Observations with Language-Model Priors (2026)
  Valentin Six et al.
  1.94
• APPO: Agentic Procedural Policy Optimization (2026)
  Xucong Wang et al.
  1.94
• Stabilizing Reinforcement Learning for Diffusion Language Models (2026)
  Jianyuan Zhong et al.
  1.78
• DPO-Shift: Shifting the Distribution of Direct Preference Optimization (2025)
  Xiliang Yang et al.
  1.28
• Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning (2025)
  Yuxiao Qu et al.
  1.28
• DataDecide: How to Predict Best Pretraining Data with Small Experiments (2025)
  Ian Magnusson et al.
  1.28
• Towards a Unified View of Large Language Model Post-Training (2025)
  Xingtai Lv et al.
  1.28