Papers

• TIP: Token Importance in On-Policy Distillation (2026)
  Yuanda Xu et al.
  1.83
• CritiQ: Mining Data Quality Criteria from Human Preferences (2025)
  Honglin Guo et al.
  1.28
• Dedicated Feedback and Edit Models Empower Inference-Time Scaling for Open-Ended General-Domain Tasks (2025)
  Zhilin Wang et al.
  1.28
• Why Personalizing Deep Learning-Based Code Completion Tools Matters (2025)
  Alessandro Giagnorio et al.
  1.28
• Understanding Gen Alpha Digital Language: Evaluation of LLM Safety Systems for Content Moderation (2025)
  Manisha Mehta et al.
  1.28
• D-AR: Diffusion via Autoregressive Models (2025)
  Ziteng Gao et al.
  1.28
• Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem (2025)
  Yubo Wang et al.
  1.28
• Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination (2025)
  Mingqi Wu et al.
  1.28
• A Decentralized Retrieval Augmented Generation System with Source Reliabilities Secured on Blockchain (2025)
  Yining Lu et al.
  1.28
• TinyLlama: An Open-Source Small Language Model (2024)
  Peiyuan Zhang et al.
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• Large Scale Transfer Learning for Tabular Data via Language Modeling (2024)
  Josh Gardner et al.
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• Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risk of Language Models (2024)
  Andy K. Zhang et al.
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