From Growing to Looping: A Unified View of Iterative Computation in LLMs
Paper ā¢ 2602.16490 ā¢ Published ā¢ 1
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PILOT: Planning via Internalized Latent Optimization Trajectories for Large Language Models
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Hierarchical Reasoning Model
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Large Language Diffusion Models
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Scaling Laws of Synthetic Data for Language Models
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Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment
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Improving Reasoning Capabilities in Small Models through Mixture-of-Layers Distillation with Stepwise Attention on Key Information
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On-Policy Self-Distillation for Reasoning Compression
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Student-in-the-Loop Chain-of-Thought Distillation via Generation-Time Selection
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Pitfalls of Rule- and Model-based Verifiers -- A Case Study on Mathematical Reasoning
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Beyond Outcome Verification: Verifiable Process Reward Models for Structured Reasoning
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Solve-Detect-Verify: Inference-Time Scaling with Flexible Generative Verifier
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Reinforcing General Reasoning without Verifiers
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Absolute Zero: Reinforced Self-play Reasoning with Zero Data
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Reinforcement Learning for Reasoning in Large Language Models with One Training Example
Paper ā¢ 2504.20571 ā¢ Published ā¢ 99