Papers

• Free Lunch for Pass@k? Low Cost Diverse Sampling for Diffusion Language Models (2026)
  Sean Lamont et al.
  1.94
• ACECODER: Acing Coder RL via Automated Test-Case Synthesis (2025)
  Huaye Zeng et al.
  1.28
• DataDecide: How to Predict Best Pretraining Data with Small Experiments (2025)
  Ian Magnusson et al.
  1.28
• Latent Refinement Decoding: Enhancing Diffusion-Based Language Models by Refining Belief States (2025)
  Qinglin Zhu et al.
  1.28
• Rewiring Experts on the Fly:Continuous Rerouting for Better Online Adaptation in Mixture-of-Expert models (2025)
  Guinan Su et al.
  1.28
• From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence (2025)
  Jian Yang et al.
  1.28
• StarCoder: may the source be with you! (2023)
  Raymond Li et al.
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• WizardCoder: Empowering Code Large Language Models with Evol-Instruct (2023)
  Ziyang Luo et al.
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• OctoPack: Instruction Tuning Code Large Language Models (2023)
  Niklas Muennighoff et al.
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