Papers

• Artificial Entanglement in the Fine-Tuning of Large Language Models (2026)
  Min Chen et al.
  1.94
• Statistical Estimation of Adversarial Risk in Large Language Models under Best-of-N Sampling (2026)
  Mingqian Feng et al.
  1.67
• Exploring the Inquiry-Diagnosis Relationship with Advanced Patient Simulators (2025)
  Zhaocheng Liu et al.
  1.28
• Communication-Efficient Language Model Training Scales Reliably and Robustly: Scaling Laws for DiLoCo (2025)
  Zachary Charles et al.
  1.28
• ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of Multilinguality (2025)
  Shayne Longpre 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
• Scaling Laws for Code: Every Programming Language Matters (2025)
  Jian Yang et al.
  1.28
• BitNet: Scaling 1-bit Transformers for Large Language Models (2023)
  Hongyu Wang et al.
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