Papers

• ABC-Bench: Benchmarking Agentic Backend Coding in Real-World Development (2026)
  Jie Yang et al.
  1.94
• Continual Harness: Online Adaptation for Self-Improving Foundation Agents (2026)
  Seth Karten et al.
  1.94
• Programming with Data: Test-Driven Data Engineering for Self-Improving LLMs from Raw Corpora (2026)
  Chenkai Pan et al.
  1.83
• ClawGym: A Scalable Framework for Building Effective Claw Agents (2026)
  Fei Bai et al.
  1.83
• CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation (2026)
  Weinan Dai et al.
  1.72
• MetaChain: A Fully-Automated and Zero-Code Framework for LLM Agents (2025)
  Jiabin Tang et al.
  1.28
• IFIR: A Comprehensive Benchmark for Evaluating Instruction-Following in Expert-Domain Information Retrieval (2025)
  Tingyu Song et al.
  1.28
• Tool-integrated Reinforcement Learning for Repo Deep Search (2025)
  Zexiong Ma et al.
  1.28
• CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding Capabilities of CodeLLMs (2024)
  Dung Nguyen Manh et al.
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