Papers

• MetaChain: A Fully-Automated and Zero-Code Framework for LLM Agents (2025)
  Jiabin Tang et al.
  1.28
• Optimizing Retrieval-Augmented Generation: Analysis of Hyperparameter Impact on Performance and Efficiency (2025)
  Adel Ammar et al.
  1.28
• s3: You Don't Need That Much Data to Train a Search Agent via RL (2025)
  Pengcheng Jiang et al.
  1.28
• Retrieval-augmented reasoning with lean language models (2025)
  Ryan Sze-Yin Chan et al.
  1.28
• OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation (2024)
  Junyuan Zhang et al.
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