PretrainRL: Alleviating Factuality Hallucination of Large Language Models at the Beginning

Documenti analoghi

• How to inject knowledge efficiently? Knowledge Infusion Scaling Law for Pre-training Large Language Models
  di: Lv, Kangtao, et al.
  Pubblicazione: (2025)
• Data Distribution Matters: A Data-Centric Perspective on Context Compression for Large Language Model
  di: Lv, Kangtao, et al.
  Pubblicazione: (2026)
• ChineseEcomQA: A Scalable E-commerce Concept Evaluation Benchmark for Large Language Models
  di: Chen, Haibin, et al.
  Pubblicazione: (2025)
• ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph
  di: Liu, Langming, et al.
  Pubblicazione: (2025)
• PoC: Performance-oriented Context Compression for Large Language Models via Performance Prediction
  di: Zhao, Runsong, et al.
  Pubblicazione: (2026)