Papers

• Prompt-Level Distillation: A Non-Parametric Alternative to Model Fine-Tuning for Efficient Reasoning (2026)
  Sanket Badhe et al.
  1.94
• Believe Your Model: Distribution-Guided Confidence Calibration (2026)
  Xizhong Yang et al.
  1.94
• Formalizing Latent Thoughts: Four Axioms of Thought Representation in LLMs (2026)
  Fahd Seddik et al.
  1.94
• OVD: On-policy Verbal Distillation (2026)
  Jing Xiong et al.
  1.67
• Is That Your Final Answer? Test-Time Scaling Improves Selective Question Answering (2025)
  William Jurayj et al.
  1.28
• CWM: An Open-Weights LLM for Research on Code Generation with World Models (2025)
  FAIR CodeGen team et al.
  1.28
• MADD: Multi-Agent Drug Discovery Orchestra (2025)
  Gleb V. Solovev et al.
  1.28
• Image-Free Timestep Distillation via Continuous-Time Consistency with Trajectory-Sampled Pairs (2025)
  Bao Tang et al.
  1.28
• Simple Token-Level Confidence Improves Caption Correctness (2023)
  Suzanne Petryk et al.
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• Localizing and Editing Knowledge in Text-to-Image Generative Models (2023)
  Samyadeep Basu et al.
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• Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations (2023)
  Hakan Inan et al.
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• Improved Distribution Matching Distillation for Fast Image Synthesis (2024)
  Tianwei Yin et al.
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• Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion Models (2024)
  Seyedmorteza Sadat et al.
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• Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level (2024)
  Antoine Grosnit et al.
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• Whisper-GPT: A Hybrid Representation Audio Large Language Model (2024)
  Prateek Verma
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