Papers

• From Foundation to Application: Improving VLA Models in Practice (2026)
  Wei Wu et al.
  2.00
• An Empirical Study of Automating Agent Evaluation (2026)
  Kang Zhou et al.
  1.94
• Spreadsheet-RL: Advancing Large Language Model Agents on Realistic Spreadsheet Tasks via Reinforcement Learning (2026)
  Banghao Chi et al.
  1.94
• PROMPTEVALS: A Dataset of Assertions and Guardrails for Custom Production Large Language Model Pipelines (2025)
  Reya Vir et al.
  1.28
• Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs (2025)
  Liang Zeng et al.
  1.28
• RExBench: Can coding agents autonomously implement AI research extensions? (2025)
  Nicholas Edwards et al.
  1.28
• Fast-dLLM v2: Efficient Block-Diffusion LLM (2025)
  Chengyue Wu et al.
  1.28
• R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing (2025)
  Tianyu Fu et al.
  1.22
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models (2024)
  Zhihong Shao et al.
  —