Papers

• Universal Reasoner: A Single, Composable Plug-and-Play Reasoner for Frozen LLMs (2025)
  Jaemin Kim et al.
  1.28
• Specification Self-Correction: Mitigating In-Context Reward Hacking Through Test-Time Refinement (2025)
  Víctor Gallego
  1.28
• Chem-R: Learning to Reason as a Chemist (2025)
  Weida Wang et al.
  1.28
• ROOT: Robust Orthogonalized Optimizer for Neural Network Training (2025)
  Wei He et al.
  1.28
• xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations (2024)
  Can Qin et al.
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