Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering
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2411.11504
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Published
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19
LLM
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Top-nσ: Not All Logits Are You Need
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Adaptive Decoding via Latent Preference Optimization
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When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training
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HuggingFaceTB/smoltalk
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TÜLU 3: Pushing Frontiers in Open Language Model Post-Training
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O1 Replication Journey -- Part 2: Surpassing O1-preview through Simple Distillation, Big Progress or Bitter Lesson?
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MH-MoE:Multi-Head Mixture-of-Experts
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O1-OPEN/OpenO1-SFT
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CASIA-LM/ChineseWebText2.0
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Yi-Lightning Technical Report
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Training Large Language Models to Reason in a Continuous Latent Space
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Weighted-Reward Preference Optimization for Implicit Model Fusion
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Phi-4 Technical Report
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SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models
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Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN
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Qwen2.5 Technical Report
Paper • 2412.15115 • Published • 323 -
A Post-Training Enhanced Optimization Approach for Small Language Models
Paper • 2411.02939 • Published -
amphora/QwQ-LongCoT-130K
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